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.