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As a GenAI Solution Architect, you will design and implement enterprise-grade Generative AI solutions that seamlessly integrate with business applications and workflows. This role spans end-to-end architecture—from building & maintaining - GenAI pipelines, prompt engineering strategies, and multi-LLM gateways to managing data lake houses, retrieval & knowledge governance frameworks. You will develop ontologies, taxonomies, and agentic workflows for autonomous reasoning while ensuring compliance, observability, and cost optimization. The ideal candidate combines deep expertise in AI/ML systems, data engineering, and enterprise integration to deliver scalable, secure, and efficient GenAI solutions that transform knowledge management and decision-making across the organization. Preference will be given to candidates with experience in both leveraging industry-leading solutions and building custom GenAI solutions from the ground up
Job Responsibility:
Design and implement GenAI workflows for enterprise use cases
Develop prompt engineering strategies and feedback loops for LLM optimization
Capture and normalize LLM interactions into reusable Knowledge Artifacts
Integrate GenAI systems into enterprise apps (APIs, microservices, workflow engines)
Architect and maintain Lakehouse environments for structured and unstructured data
Implement pipelines for document parsing, chunking, and vectorization