Technology Lead – GenAI

Job Title : Technology Lead – AI / ML & GenAI Experience : 12+ Years Location : Lahore / Karachi / Islamabad (Travel to Dubai may be required; candidate must be flexible with travel) About the Role NorthBay Solutions is seeking a Technology Lead with deep expertise in Generative AI (GenAI) , a solid foundation in AI / ML , and a strong background in enterprise architecture .

The ideal candidate is a seasoned professional with experience deploying solutions across on-premises, cloud, and hybrid environments.

Flexibility to travel to onsite client engagements in Dubai is a must.

Core Responsibilities Design and implement end-to-end AI-powered enterprise solutions integrating AI / ML with traditional systems Lead and mentor a cross-functional team of 8–12 engineers (AI / ML, full-stack, DevOps) in an Agile environment Drive strategic technical decisions across infrastructure, data platforms, APIs, microservices, and AI components Technical Requirements GenAI Leadership (3+ Years) – Primary Focus Extensive hands-on experience with LLMs (LLAMA, Mistral, GPT), including fine-tuning and deployment Expertise in Agentic AI, multi-agent systems, and Agentic RAG implementations Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains Skilled in advanced prompt engineering and Chain-of-Thought (CoT) methodologies Successfully implemented 3+ GenAI applications in production AI / ML Foundation (4–5 Years) Strong practical experience building AI / ML solutions using Python, TensorFlow, and PyTorch Capable of managing full ML lifecycle : development, deployment, and monitoring Experience integrating AI / ML models with enterprise architecture Enterprise Architecture & Deployment (8+ Years) Full-stack development using the MERN stack or equivalent Deployment experience across on-premises, cloud, and hybrid environments Expertise in Kubernetes for container orchestration and scalable deployments Database knowledge : SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB) Strong API development skills : REST, GraphQL, and microservices architecture Hands-on DevOps experience : Docker, CI / CD, infrastructure automation Cloud & Infrastructure Deep expertise in AWS, Azure, or GCP with strong ML service exposure AWS technologies : SageMaker, Bedrock, Lambda, API Gateway (or equivalents on other clouds) Hybrid architecture planning and implementation combining cloud, on-prem, and AI / ML systems Proven Delivery Delivered 7+ complex enterprise solutions involving AI / ML components Strong leadership experience in managing cross-functional technical teams Additional Requirements (Preferred) Certifications in AWS / Azure / GCP (e.g., Solutions Architect, ML Specialty) Excellent communication skills to bridge technical and business needs Agile / Scrum leadership experience with a track record of performance improvements Ideal Candidate A GenAI expert with leadership experience, backed by strong AI / ML development and robust enterprise deployment capabilities.

Must be comfortable working in hybrid environments and willing to travel to Dubai when needed.

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