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