GenAI Solution Architect AI / ML & GenAI

About the Role

We are seeking a GenAI Solution Architect for our client, a leading technology services firm. This hybrid role is open across Lahore, Karachi, Islamabad , and includes potential relocation to Dubai based on business needs.

The ideal candidate brings 12+ years of experience in enterprise software and systems, with a deep specialization in Generative AI (GenAI) , AI / ML , and enterprise architecture . Youll lead multidisciplinary engineering teams and architect next-generation AI-powered systems across cloud, on-premises, and hybrid infrastructures.

Experience : 12+ Years

Locations : Lahore / Karachi / Islamabad (Hybrid) & Dubai (Relocation if Required)

Requirements (Must-Have)

GenAI Leadership (3+ Years)

Hands-on experience with LLMs (LLAMA, Mistral, GPT) : fine-tuning, prompt optimization, deployment

Exposure to Agentic AI , Multi-Agent Systems , RAG implementations

Familiarity with LangChain , LangGraph , Vector Databases (e.g., Pinecone, FAISS)

Demonstrated success in delivering at least 3+ production-grade GenAI applications

AI / ML Engineering (4-5 Years)

Solid development background using Python , TensorFlow , PyTorch

Proven experience in ML lifecycle management : training, serving, monitoring

Integration of ML models into scalable enterprise architectures

Enterprise Architecture (8+ Years)

Experience in MERN stack or similar full-stack technology

Strong command over Kubernetes , Docker , and CI / CD pipelines

Deep understanding of REST APIs , GraphQL , microservices , and containerized deployments

Databases : SQL (PostgreSQL / MySQL) and NoSQL (MongoDB / DynamoDB)

Cross-environment deployment expertise : on-premises , cloud , and hybrid

Cloud & Infrastructure

Hands-on with cloud providers : AWS , Azure , or GCP

Familiarity with ML services : AWS SageMaker , Bedrock , Lambda , etc.

Experience designing hybrid cloud-AI architectures

Project & Team Delivery

Led delivery of 7+ enterprise-grade AI / ML solutions

Managed technical teams (812 engineers) across disciplines

Strong communication and stakeholder management skills

Agile / Scrum experience with demonstrable team performance outcomes

Nice to Have

Certifications : AWS / Azure / GCP (Solutions Architect, ML Specialty preferred)

Experience designing Agentic AI workflows with user-centric GenAI solutions

Contributions to open-source GenAI libraries or AI research papers

Ideal Candidate Profile

Primary Expertise : GenAI Architecture & Leadership

Secondary Expertise : AI / ML Development & Model Integration

Tertiary Expertise : Enterprise System Design & Scalable Deployment