**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.
• *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 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**.
• *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.
• *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.
- ** 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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