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Urgent! GenAI & AgenticAI Architect - Relocation to AbuDhabi Job Opening In India, India – Now Hiring NorthBay

GenAI & AgenticAI Architect Relocation to AbuDhabi



Job description

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


About the Role

NorthBay Solutions is seeking an accomplished GenAI Technology Lead/Architect 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.


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:

    Generative AI Leadership

    AI/ML Foundation

    Enterprise Architecture & Hybrid Deployments

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


  • Required Skill Profession

    Other General



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