Technology Lead GenAI

Job Title: Technology Lead AI/ML & GenAI Experience: 12+ Years Location: Abu Dhabi, UAE Employment Type: Full-time About the RoleNorthBay 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 ResponsibilitiesArchitect 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 RequiredGenerative AI Leadership (3+ Years) PRIMARYExpert-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 & InfrastructureDeep 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 Delivery7+ 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 ProfilePriority 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. .