Gen AI Solution Architect

We are looking for a Gen AI Solution Architect to design, build, and scale reusable Generative AI modules and APIs. This role blends product vision, technical leadership, and hands-on implementation of LLM workflows, hybrid ML/LLM systems, and enterprise integrations.

Roles and Responsibilities

• Define product roadmap and architect reusable Gen AI modules (RAG, prompting frameworks, hybrid ML/LLM).
• Design APIs and microservices to expose AI capabilities as plug-and-play components.
• Standardize patterns across use cases: prompts, chunking, few-shot pipelines.
• Integrate LLMs with traditional ML and enterprise systems, ensuring performance, scalability, and cost efficiency.
• Enable adoption through documentation, tutorials, sandboxes, and team training.
• Track adoption and impact metrics (module reuse, deployment speed, contribution volume).

Required Skills & Experience

• Hands-on experience with LLMs (OpenAI, Anthropic, LLaMA 2) and frameworks (LangChain, LlamaIndex).
• Expertise in RAG, document chunking, vector DBs (Pinecone, FAISS), text-to-SQL, and hybrid ML workflows.
• Strong software engineering skills: Python, API design (FastAPI/Flask), cloud AI platforms, CI/CD, Docker, Terraform.
• Frontend/middleware integration (React/Streamlit, message queues, auth systems).
• Proven track record in building reusable ML/API products or internal AI platforms.

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