drjobs Technology Lead – GenAI العربية

Technology Lead – GenAI

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1 Vacancy
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Job Location drjobs

Abu Dhabi - UAE

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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.


Core Responsibilities

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

  • Lead a team of 812 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 (45 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.


Required Experience:

Senior IC

Employment Type

Full-Time

Company Industry

About Company

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