Technology Lead – GenAI

12 hours ago

Hyderabad, Telangana, India NorthBay Solutions Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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 RequiredGenerative 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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