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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.
Job Responsibility:
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
Requirements:
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 (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
(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