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)

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