17 AI & Emerging Technologies jobs in the United Arab Emirates

Title:

Digitalization and Artificial Intelligence Engineer

Belong, Connect, Grow, with KBR!

The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.

KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.

We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.

Job Title:Digitalization and Artificial Intelligence Engineer

Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager

Job Description:

Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.

Key Responsibilities:

Design & Engineering

• Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
• Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
• Identify and select appropriate digital and AI technologies for implementation.

Integration & Implementation

• Define and implement integration strategies with existing ADNOC systems such as Panorama .
• Ensure seamless integration of various digital solutions into a common user-friendly platform .
• Design plant facilities to accommodate selected digital and AI technologies.

Infrastructure & Compliance

• Identify required IT infrastructure and ensure compliance with:
  • Wireless Infrastructure (AGES-SP-12-003)
  • Wireless Instrumentation System (AGES-SP-04-019)
• Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD) .

Execution & Commissioning

• Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
• Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

Technology & Innovation

• Promote adoption of edge computing and autonomous operation programs .
• Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
• Integrate drones and robotics as part of the digitalization scope.

Guidelines & Standards

• Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
  • Wells & Surface Facilities Instrumentation
  • Real-time Data Mapping
  • Domain Data Requirements
  • Collaborative Working Environment
  • Change Management & Communication
  • Telecommunication Infrastructure

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
• Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
• Proven experience in EPC project environments and multi-disciplinary coordination.
• Strong knowledge of industrial automation, edge computing, and AI platforms.
• Familiarity with ADNOC systems and standards is highly desirable.

Skills & Competencies:

• Strong analytical and problem-solving skills.
• Excellent communication and documentation abilities.
• Project management and scheduling expertise.
• Ability to work collaboratively across disciplines and with subcontractors.
• Cybersecurity awareness and data governance understanding.

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The Role Job description

The AI/Data Consultant will provide expert guidance on the design, development, and deployment of data and AI solutions for healthcare applications. This role requires hands-on expertise in data engineering, AI/ML model development, and healthcare interoperability standards. The consultant will work closely with technical teams and clients to deliver scalable, secure, and compliant solutions that drive business value in Abu Dhabi's healthcare ecosystem.

Key responsibilities

• Assess client requirements and design tailored data & AI solutions using Microsoft Azure services.
• Develop and implement data pipelines, ETL processes, and AI/ML models to support healthcare use cases.
• Ensure solutions comply with healthcare standards (FHIR, HL7, SNOMED) and regulations (HIPAA, GDPR).
• Provide expertise in data modeling, governance, and quality assurance for healthcare datasets.
• Design and deploy AI-driven applications, such as predictive analytics and clinical decision support systems.
• Collaborate with integration teams to enable seamless data exchange using APIs and FHIR resources.
• Conduct performance tuning, testing, and optimization of data and AI solutions.
• Create detailed technical documentation and provide training to client teams.
• Stay updated on industry trends and emerging AI technologies to recommend best practices.
• Support regional healthcare initiatives by tailoring solutions to Abu Dhabi's unique requirements.

Required skills and experience

• 8+ years of experience in data engineering, AI/ML, or related fields, with a focus on healthcare applications.
• Proficiency in Microsoft Azure services (Azure Data Factory, Databricks, Azure Machine Learning, Cosmos DB).
• Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, Spark).
• Expertise in healthcare interoperability standards (FHIR, HL7, SNOMED, LOINC) and API development.
• Experience with data governance, ETL/ELT pipelines, and database management (SQL, Cosmos DB).
• Familiarity with microservices architecture, Kubernetes, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaborate with cross-functional teams.

Preferred qualifications

• Azure Data Engineer Associate or Azure AI Engineer Associate certification.
• Experience in healthcare technology projects in the Middle East.
• Knowledge of UAE-specific healthcare regulations and standards.

Key deliverables

• Tailored data & AI solutions for healthcare use cases.
• Optimized data pipelines and AI/ML models deployed on Azure.
• Comprehensive documentation for solution design and implementation.
• Training materials and sessions for client teams.
• Performance and compliance reports for healthcare solutions.

Why join?

• Be part of a flagship healthcare innovation transforming lives in Abu Dhabi.
• Gain mentorship and exposure to cutting-edge technology in digital health.
• Grow your career in a purpose-driven environment that empowers healthier communities across the region.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment focused on advancing healthcare technology.

Requirements About the company We lead in the creation and delivery of innovative workforce solutions and services that enable our clients to win in the changing world of work. ManpowerGroup powers the success of many of the world's most dynamic organizations. We deliver innovative workforce solutions that enhance competitiveness, increase efficiency and spur productivity. Combining global reach with local expertise - 3600 offices in over 80 countries - we know the changing world of work and bring a deep understanding of the companies we work for and the industries we service. ManpowerGroup entered the Middle East in December 2007 after acquiring local company Clarendon Parker, thus bringing 15 years in-depth local knowledge combined with a global footprint and industry shaping expertise and thought leadership. Manpower Middle East supports clients in the Middle East and North Africa regions. Our business is aligned to key skill specializations to ensure our clients requirements are met by expert and knowledgeable consultants that understand your industry and role requirement. Our consultants are experts in finding the right talent across all industries in a broad-range of occupations including: * IT & Telecommunications * Engineering & Construction, Oil & Gas * Banking, Finance & Legal * Sales & Business Development * Marketing, Public Relations & Communications * Human Resources & Training * Customer & Support Services (Secretarial and Administrative) * Operational, Supply Chain & Logistics * Executive Recruitment * Emiratization Solutions * Recruitment Program Outsourcing Solutions * Managed Service Provider Solutions * Talent Based Outsourcing Solutions * Outsourced Staffing Solutions

**About the Role:**
**Grade Level (for internal use):**
03
Kensho is pioneering AI-powered solutions that reshape industries and unlock new business opportunities. As an AI Specialist, you will be responsible for helping to define and execute strategies that drive market expansion, revenue growth, and adoption of AI products. This role sits at the intersection of sales engineering, AI strategy, and customer engagement-helping Kensho deepen its footprint in key markets and maximize the impact of its AI solutions.
You will leverage your skills and understanding of Kensho's value proposition and how we interact with S&P Global's solutions to spearhead the go-to-market strategy for our AI-powered data solutions. This role combines hands-on technical understanding of AI product lifecycles, scalability, and integration challenges with strategic market leadership, requiring someone who can bridge the gap between cutting-edge AI technology and commercial success. In this capacity, you'll act as a key subject matter expert in AI, assisting with closing strategic business deals and serving as a vital partner to go-to-market teams at S&P Global.
You will help shape Kensho's strategic positioning, foster industry partnerships, and identify opportunities that translate into tangible value creation. You will play a pivotal role in bridging AI innovation with business needs, ensuring Kensho remains at the forefront of industry transformation.
**Key Responsibilities:**
**Strategic Growth & Market Expansion**
+ Develop and deliver compelling technical and business cases to engage decision makers on new products, features, and innovations, ensuring clear articulation of technical feasibility, system requirements, value propositions, and ROI projections grounded in AI performance metrics.
+ Assess product readiness for market launch and guide necessary improvements or adjustments through detailed market feedback and competitive analysis.
+ Provide strategic market feedback to Kensho Strategy and Product teams to guide company positioning, product roadmap decisions, and strategic investment priorities.
+ Grow and manage a robust customer pipeline for AI-ready solutions, including LRA, Groundings, and beyond.
+ Identify Opportunities for Kensho Labs Team by facilitating design workshops with high value clients that require solution engineering
**Customer Engagement & Strategic Market Positioning**
+ Build alliances with S&P Global customers through close collaboration with the Chief Client Office (CCO) and commercial teams.
+ Drive co-development partnerships, ensuring products go to market with SME testing.
+ Conduct market analysis to uncover new verticals, regions, and customer segments (e.g., Private Markets) and provide valuable insights back to Kensho Strategy and Product teams.
+ Deliver high-impact product demos for high-value customers, shaping narratives that highlight Kensho's unique value.
+ Lead technical deep-dive sessions with potential partners and customers to demonstrate the underlying AI architecture and capabilities of Kensho's solutions.
+ Represent Kensho at industry conferences and events, driving lead generation and thought leadership.
+ Develop market entry strategies for new segments and geographies, including risk assessment, resource requirements, and success metrics.
+ Own and drive strategic market positioning by identifying key differentiators and utilizing position matrices to visualize Kensho's competitive standing.
**Cross-Functional Collaboration & Messaging**
+ Collaborate with marketing and communications teams to develop clear, compelling narratives, segment-specific messaging, and transparent value propositions that resonate with target audiences.
+ Act as a critical bridge between customer needs and Kensho's product/engineering teams, translating market insights into actionable technical requirements and contributing directly to the prioritization of AI model enhancements and feature roadmaps.
+ Work closely with sales teams to provide market intelligence, competitive positioning, and customer insights that enhance sales effectiveness.
+ Drive sales enablement, ensuring commercial teams have the resources to effectively communicate Kensho's AI value proposition.
**What You'll Bring:**
+ 3+ Years' proven experience in a customer-facing role such as a Sales Specialist, Solutions Architect, or Product specialist, with a focus on AI or data-driven solutions with a Bachelor's degree preferred
+ Experience qualifying and selling B2B software, data or other technology products
+ Subject-matter expertise with content feeds, metadata, assorted document and data delivery types a plus.
+ A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
+ Effective communication skills working with internal colleagues and external vendor contacts at all levels
+ Collaborative and cooperative attitude with sales and marketing teammates
+ Goal oriented and self-motivated, with a passion for Artificial Intelligence
+ Experience working with globally distributed teams and partners in different time zones
+ Strong analytical skills with the ability to translate data into actionable insights
+ A passion for and/or experience with advanced AI systems.
+ Excellent communication and interpersonal skills
+ Experience working with globally distributed teams and partners in different time zones
+ Ability to work in a fast-paced, dynamic environment
+ Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:   and your request will be forwarded to the appropriate person. 
**US Candidates Only:** The EEO is the Law Poster   describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** London, United Kingdom

Job Title: Product Manager – Generative AI Solutions
Location: Lahore / Karachi / Islamabad (Hybrid)
Travel Requirement: Must be flexible to travel to UAE for 2 to 3 months as needed
Experience Required: 8 to 12+ Years
Employment Type: Full-Time

Job Summary:

We are looking for an experienced Product Manager with a strong background in Generative AI (GenAI) product development to lead the vision, strategy, and execution of AI-powered solutions. The ideal candidate has experience working closely with engineering, data science, and business teams to bring innovative AI features and platforms to life. This is a hybrid role based in Lahore, Karachi, or Islamabad , with required flexibility to travel to the UAE for short-term (2–3 months) client engagement .

Key Responsibilities: Product Strategy & Vision

• Define and lead the product vision, roadmap, and success metrics for GenAI-powered solutions.

• Align product direction with market opportunities, customer needs, and business objectives.

Requirement Gathering & Roadmap Planning

• Collaborate with internal teams and clients to gather, prioritize, and define clear product requirements.

• Conduct competitive analysis and stay current on GenAI trends and emerging use cases.

Cross-functional Leadership

• Partner with engineering, design, and data science teams to ensure seamless development and delivery of GenAI features.

• Facilitate clear communication among stakeholders and ensure alignment across departments.

Customer-Centric Design

• Ensure that GenAI solutions offer intuitive, efficient, and responsible user experiences.

• Balance innovation with usability, customer feedback, and performance insights.

Performance Monitoring & Optimization

• Track product KPIs, user behavior, and engagement metrics to drive continuous improvement.

• Make data-informed decisions and adjust the roadmap based on user and market feedback.

Stakeholder & Client Engagement

• Act as the primary liaison for internal stakeholders and external clients, especially during UAE-based project phases.

• Communicate product strategy, status, and results clearly to all levels of the organization.

Compliance & Ethical Considerations

• Collaborate with legal and compliance teams to ensure products align with responsible AI, data privacy, and security standards.

Qualifications and Skills:

• Bachelor’s or Master’s degree in Business, Computer Science, Product Management, or related field.

• 8 to 12+ years of experience , including hands-on product management of GenAI or AI/ML-powered solutions .

• Strong understanding of Generative AI tools and platforms (LLMs, prompt engineering, RAG, embeddings, etc.).

• Proven track record of launching successful AI-driven products across web or enterprise platforms.

• Strong leadership, communication, and stakeholder management skills.

• Experience working with Agile/Scrum methodologies and tools (e.g., Jira, Confluence).

• Ability to work in a fast-paced, cross-functional, and client-facing environment.

Additional Requirements:

• Hybrid work model – based in Lahore, Karachi, or Islamabad .

• Must be willing to travel to UAE for short-term (2 to 3 months) assignments as per project needs.

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Abu Dhabi, United Arab Emirates | Posted on 08/21/2025

We are looking for an experienced AIOps / MLOps Engineer to design, build, and maintain the infrastructure, tools, and processes that ensure the reliability, scalability, performance, and security of AI/ML systems throughout their lifecycle. You will work closely with Data Scientists, Data Engineers, and Software Engineers to streamline the development, deployment, and monitoring of both traditional and generative AI models, ensuring seamless integration into enterprise applications and services.

Key Responsibilities:

Design and implement robust MLOps pipelines for the end-to-end lifecycle of AI/ML models, from experimentation and training to deployment, monitoring, and governance.

Develop and maintain AI/ML infrastructure leveraging cloud-native technologies (primarily Azure) and open-source tools, including compute, storage, and networking optimized for AI/ML workloads.

Build and manage CI/CD pipelines for AI/ML models and related code, automating testing, validation, and deployment processes.

Implement monitoring and observability solutions for AI/ML systems, tracking model performance, data drift, infrastructure health, and application logs.

Develop and integrate AIOps capabilities to automate incident detection, root cause analysis, and remediation for AI/ML infrastructure and applications.

Establish and enforce MLOps best practices , including version control, experiment tracking (e.g., MLflow), model registry, deployment strategies (e.g., A/B testing, canary deployments), and security protocols.

Collaborate with Data Scientists, AI Engineers, and Data Engineers to provide tools and infrastructure that accelerate research and development.

Work with Software Engineers to integrate AI/ML models into applications and services, ensuring scalability, reliability, and performance.

Implement and manage data governance and lineage solutions for AI/ML datasets and models, ensuring data quality, compliance, and auditability.

Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools (e.g., Terraform, ARM templates).

Evaluate and adopt new AIOps/MLOps tools and technologies to continuously improve AI/ML platforms and processes.

Troubleshoot and resolve issues related to AI/ML infrastructure, pipelines, and deployments in production environments.

Document all aspects of AI/ML infrastructure and MLOps processes clearly for both technical and non-technical stakeholders.

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

5+ years of hands-on experience in building and managing infrastructure and pipelines for ML applications in production.

Strong understanding of the AI/ML lifecycle and challenges of deploying and maintaining AI systems at scale.

Proven experience with cloud platforms , especially Microsoft Azure, and their AI/ML services (e.g., Azure Machine Learning, Azure Kubernetes Service, Azure Data Factory).

Extensive experience with containerization (Docker) and orchestration frameworks (Kubernetes).

Strong scripting and automation skills using Python, Bash, or PowerShell .

Experience with CI/CD tools (Azure DevOps, Jenkins, GitLab CI) and Infrastructure-as-Code (Terraform, ARM templates).

Experience with monitoring and observability tools (Azure Monitor, Prometheus, Grafana, ELK stack).

Familiarity with MLOps platforms and tools (MLflow, Kubeflow).

Knowledge of data governance and security best practices in a cloud environment.

Excellent problem-solving and troubleshooting skills with a systematic approach.

Strong collaboration and communication skills.

Proactive, automation-first mindset with a passion for building reliable and efficient AI systems.

Familiarity with AIOps concepts and tools for intelligent incident management and automation.

Preferred Qualifications / Bonus Points:

Experience with AIOps platforms or tools .

Experience deploying and managing generative AI models in production.

Knowledge of security best practices for AI/ML systems .

Experience with performance tuning and optimization of AI/ML infrastructure and pipelines.

Certifications in relevant cloud platforms or DevOps/MLOps technologies .

Experience with data lineage and data quality tools .

What We Offer:

Competitive salary and benefits.

Opportunity to work with cutting-edge AI/ML technologies and cloud platforms.

Dynamic, collaborative, and innovative work environment.

Chance to lead strategic AI/ML infrastructure initiatives.

Requirements

Technical Skills:

Strong understanding of the AI/ML lifecycle and challenges in deploying and maintaining AI systems at scale.

Proven experience with cloud platforms , primarily Microsoft Azure, including Azure Machine Learning, Azure Kubernetes Service, and Azure Data Factory.

Extensive experience with containerization and orchestration technologies (Docker, Kubernetes).

Strong scripting and automation skills using Python, Bash, or PowerShell.

Hands-on experience with CI/CD pipelines (Azure DevOps, Jenkins, GitLab CI) and Infrastructure-as-Code tools (Terraform, ARM templates).

Familiarity with monitoring and observability tools (Azure Monitor, Prometheus, Grafana, ELK stack).

Knowledge of MLOps platforms and tools (MLflow, Kubeflow).

Understanding of data governance, lineage, and security best practices in cloud environments.

Experience in automating ML/AI workflows , managing model deployment, and ensuring reproducibility.

Soft Skills:

Excellent problem-solving, troubleshooting, and analytical skills.

Strong collaboration and communication skills to work effectively with Data Scientists, AI Engineers, Data Engineers, and Software Engineers.

Proactive and automation-first mindset with a focus on reliability and efficiency.

Preferred / Bonus Skills:

Experience with AIOps platforms or tools .

Experience deploying and managing generative AI models in production.

Knowledge of security best practices for AI/ML systems.

Experience in performance tuning and optimization of AI/ML infrastructure and pipelines.

Certifications in relevant cloud platforms or DevOps/MLOps technologies .

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Overview

Job Title: Business Analyst – AI
Job Type: Full-time
Location: On-site Abu Dhabi, Abu Dhabi, United Arab Emirates, Abu Dhabi Region

Summary

We are seeking a dynamic Business Analyst – AI to join our team in Abu Dhabi, playing a pivotal role in bridging business needs and innovative AI solutions. As part of Dautom IT Consultants LLC, you will collaborate closely with stakeholders to identify automation opportunities and deliver transformative AI projects. This is a unique opportunity for professionals passionate about business transformation through AI and committed to effective communication.

Key Responsibilities

• Engage with business stakeholders to uncover and analyze opportunities for AI adoption and workflow automation.
• Facilitate requirements workshops, interviews, and process mapping sessions to capture and document existing business processes.
• Translate complex business requirements into clear, actionable functional and non-functional specifications for AI solutions.
• Develop comprehensive Business Requirement Documents (BRDs), Functional Specifications, and User Stories tailored to AI initiatives.
• Create process flows, wireframes, and mockups for AI-driven applications and dashboards, ensuring alignment with business objectives.
• Act as a key liaison between technical teams and business stakeholders, effectively communicating AI solution benefits, limitations, and risks.
• Champion change management efforts and support successful AI adoption across the organization.

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Business Administration, or related discipline.
• 4–6 years of proven experience as a Business Analyst, with hands-on exposure to AI/ML projects.
• Exceptional written and verbal communication skills in English; able to distill complex concepts into business-friendly language.
• Sound understanding of AI/ML concepts and their application to drive business value.
• Demonstrated expertise in requirements gathering, documentation (BRDs, user stories), and functional specification.
• Strong stakeholder management and presentation skills, with a proactive approach to collaboration.
• Ability to thrive in a cross-functional, fast-paced, and evolving project environment.

Preferred Qualifications

• UAE work experience, with a solid understanding of the local business landscape.
• Immediate availability (notice period 30 days or less), with a commitment to join on short notice.
• Experience working on AI/ML adoption and transformation initiatives in large organizations.

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Job Title: Technology Lead – AI/ML & GenAI
Experience: 12+ Years
Location: Abu Dhabi, UAE
Employment Type: Full-time

About the Role

NorthBay Solutions is seeking an accomplished Technology Lead with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture . This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions , lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.

You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

Core Responsibilities

• Architect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.

• Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.

• Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.

• Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures .

• Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.

Technical Expertise Required Generative AI Leadership (3+ Years) – PRIMARY

• Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.

• Strong hands-on work with Agentic AI , multi-agent systems , and RAG implementations .

• Proficiency with vector databases , LangChain , LangGraph , and modern GenAI toolchains.

• Expertise in advanced prompt engineering and Chain-of-Thought techniques .

• Proven track record delivering 3+ production-grade GenAI applications .

AI/ML Foundation (4–5 Years)

• Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.

• Full lifecycle management of ML models, from development to monitoring in production.

• Seamless integration of AI/ML models into enterprise-grade applications and platforms.

Enterprise Architecture & Deployment (8+ Years)

• Strong background in full-stack development (MERN stack or equivalent).

• Deployment expertise across on-premises, cloud, and hybrid environments .

• Advanced Kubernetes skills for orchestration and scaling.

• Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) .

• Proven ability to design and manage APIs and microservices (REST, GraphQL).

• DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation .

Cloud & Infrastructure

• Deep knowledge of AWS, Azure, or GCP with ML/AI services.

• AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway .

• Strong grasp of hybrid cloud architectures integrating AI/ML workloads.

Proven Delivery

• 7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.

• Demonstrated team leadership experience with measurable outcomes.

• Strong focus on delivery excellence, scalability, and long-term maintainability.

Requirements

• (Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).

• Excellent communication and stakeholder management skills.

• Solid experience in Agile/Scrum leadership , driving productivity and team performance.

Ideal Candidate Profile

• Priority expertise:

  1. Generative AI Leadership

  2. AI/ML Foundation

  3. Enterprise Architecture & Hybrid Deployments

• A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.

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At Aravez, we are developing robot systems to help various industries like oil and gas, defense and aerospace, and training. Robot controller software engineers will be involved in robot controllers’ development for these applications.

To achieve such complicated tasks, the key is to develop software controllers and AI for robots.

A Senior Computer Vision Engineer will have experience leading research teams and hands-on experience with image processing and machine learning research.

The Engineer should be familiar with:

Algorithm development to control the robot operation according to position, shape, etc. by performing image processing and image recognition using the camera mounted on the robot,

Technology development ensuring that robot operates stably without being influenced by the robot installation environment, and

Testing in development to improve quality by debugging work.

Required Skills and Experience

• Demonstrated experience leading a research or development team.
• Ph.D. in robotics, computer science, or relevant field.
• Fluency in English conveying and discussing technical specifications and tasks to members.
• Over 5 years of experience in the field of computer vision.
• Experience with 2D/3D (2.5D) images.
• Experience with multiple machine learning algorithms including:
  • A disciplined development process with training and testing.
  • Preparing visual representation of research.
• Experience with image preprocessing techniques, such as noise removal and edge detection.
• Experience with rigid object recognition and tracking.
• Knowledge regarding localization of markers.

Mathematical skills including:

• Differential calculus and optimization.

Programming experience with:

• Python and C++.
• Object-oriented programming.
• Experience of having own technology deployed on products.

Desired Skills and Experience

• Experience with deformable object recognition and tracking.
• Experience with Linux.

Programming experience with:

• Source code review.
• Automated testing.
• Speed optimization.
• Multithreading and messaging.
• Knowledge of camera, robot, and coordinate calibration.

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Overview

Job Title: Senior QA Engineer – AI Platform Testing. Location: Abu Dhabi. Experience: 7+ Years. Company: NorthBay Solutions.

Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.

About the Role

NorthBay Solutions is looking for a Senior QA Engineer with strong automation skills to support testing efforts across our AI-driven platforms. In this role, you will ensure the functional accuracy, performance, and quality of features while also contributing to validation of AI model outputs, training data quality, and overall user experience across web and API-based systems.

Key Responsibilities

• Design, write, and execute test cases to validate features, APIs, and end-to-end system integrations.


• Develop and maintain automated test scripts using Java-based frameworks (e.g., Selenium, TestNG, or similar).


• Conduct manual and exploratory testing for AI model outputs and user workflows.


• Validate training datasets, detect anomalies, and evaluate model-generated content.


• Log and track defects with comprehensive documentation using bug tracking tools.


• Collaborate closely with Machine Learning, Development, and Automation teams to define test strategies and acceptance criteria.


• Contribute to regression testing cycles and final release validations.

Required Skills & Qualifications

• 7+ years of professional experience in QA or software testing.


• Proven experience in QA automation using Java.


• Solid understanding of Agile methodologies, QA processes, and test lifecycle management.


• Hands-on experience with test management tools (TestRail, Zephyr) and defect tracking tools (JIRA, Azure DevOps).


• Strong experience with API testing tools such as Postman.


• Excellent analytical skills and attention to detail.

Preferred (Nice to Have)

• Exposure to AI/ML concepts, particularly around testing LLM outputs, computer vision, or NLP systems.


• Experience validating training data quality and evaluating model behavior in production environments.

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