Overview Job Title: Technology Lead AI/ML & GenAI Experience: 12 Years Location: Abu Dhabi UAE Employment Type: Full-time 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: - 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. Required Experience: Senior IC #J-18808-Ljbffr
