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GenAI & AgenticAI Architect - AbuDhabi

Job in Abu Dhabi, UAE/Dubai
Listing for: NorthBay Solutions
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Job Title:

Technology Lead/Architect – AI/ML & GenAI

Experience:

12+ Years

Location:

Abu Dhabi, UAE

Employment Type:

Full-time

About the Role

North Bay Solutions is seeking an accomplished GenAITechnology 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 Dev Ops 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
    , Lang Chain
    , Lang Graph
    , and modern GenAI tool chains.

  • 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, Tensor Flow, and Py Torch 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 (Postgre

    SQL/MySQL)
    and No

    SQL (Mongo

    DB/Dynamo

    DB)
    .

  • Proven ability to design and manage APIs and microservices (REST, Graph

    QL).

  • Dev Ops 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:
    Sage Maker, 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.

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