GenAI Solution Architect AI/ML & GenAI
Industry Professionals
Date: 2 weeks ago
City: Karachi
Contract type: Full time
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)
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
- 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
- Primary Expertise: GenAI Architecture & Leadership
- Secondary Expertise: AI/ML Development & Model Integration
- Tertiary Expertise: Enterprise System Design & Scalable Deployment
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