Technology Lead â GenAI
Technology Lead â GenAI
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Job Description
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 812 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 (45 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.
Required Experience:
Senior IC
Employment Type
Full-Time
