GenAI & AgenticAI Architect - AbuDhabi - Abu Dhabi, Abu Dhabi, United Arab Emirates - NorthBay Solutions

    NorthBay Solutions
    NorthBay Solutions Abu Dhabi, Abu Dhabi, United Arab Emirates

    1 week ago

    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:

      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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