GenAI Solution Architect AI/ML & GenAI

Industry Professionals; Karachi Division; On-site; PKR 3,000,000 - 5,000,000; Full time

Job summary

A leading technology services firm is seeking a GenAI Solution Architect to lead the design and implementation of AI-powered systems. This hybrid role based in Pakistan requires a strong background in Generative AI, AI/ML, and enterprise architecture, along with over 12 years of experience. Responsibilities include managing engineering teams, integrating ML solutions, and delivering innovative projects across cloud and hybrid environments. Ideal candidates must demonstrate strong leadership and communication skills, with proficiency in modern development practices.

Qualifications

• 12+ years of experience in enterprise software with a focus on Generative AI, AI/ML, and enterprise architecture.
• Hands-on experience with LLMs including fine-tuning and deployment.
• Strong command over development tools like Kubernetes and Docker.

Responsibilities

• Lead multidisciplinary engineering teams to architect next-generation AI solutions.
• Deliver enterprise-grade AI/ML solutions across multiple infrastructures.
• Integrate ML models into scalable architectures.

Skills

Generative AI

AI/ML

Cloud architecture

Kubernetes

Docker

REST APIs

Cross-environment deployment

Stakeholder management

Tools

AWS

Azure

Google Cloud Platform

SQL

NoSQL

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.

Requirements (Must-Have)

• Experience: 12+ Years; Locations: Lahore / Karachi / Islamabad (Hybrid) & Dubai (Relocation if Required)
• 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.
• Led delivery of 7+ enterprise‑grade AI/ML solutions
• Managed technical teams (up to 12 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