GenAI Solution Architect AI/ML & GenAI

Industry Professionals; Lahore; On-site; PKR 2,232,000 - 3,348,000; Full time

Job summary

A leading technology services firm is seeking a GenAI Solution Architect for a hybrid role across Lahore, Karachi, and Islamabad. The ideal candidate must have over 12 years of experience in enterprise software with expertise in Generative AI and AI/ML. Responsibilities include leading engineering teams and architecting AI-powered systems. Familiarity with modern technologies like Kubernetes, Docker, and cloud providers is essential. This position presents an opportunity for relocation to Dubai based on business needs.

Qualifications

• 12+ years of experience in enterprise software and systems required.
• Expertise in Generative AI (GenAI) and AI/ML essential.
• Demonstrated success in delivering 3+ production-grade GenAI applications.

Responsibilities

• Lead multidisciplinary engineering teams to architect AI systems.
• Manage technical delivery of enterprise-grade AI/ML solutions.
• Conduct stakeholder management and communication effectively.

Skills

Hands-on experience with LLMs (LLAMA, Mistral, GPT)

Exposure to Agentic AI

Familiarity with LangChain

Proven experience in ML lifecycle management

Experience in MERN stack or similar full-stack technology

Strong command over Kubernetes

Deep understanding of REST APIs

Experience with cloud providers (AWS, Azure, GCP)

Cross-environment deployment expertise

Tools

Docker

CI/CD pipelines

SQL (PostgreSQL/MySQL)

NoSQL (MongoDB/DynamoDB)

Job description

About the job 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. You'll 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)

• 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
• Proven experience in ML lifecycle management: training, serving, monitoring
• Integration of ML models into scalable enterprise architectures
• 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
• Hands-on with cloud providers: AWS, Azure, or GCP
• Familiarity with ML services: AWS SageMaker, Bedrock, Lambda, etc.

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