Python/GenAI Solutions Architect
Core
Design, build, and optimize production-grade Generative AI and RAG systems for enterprise clients using a forward-deployed delivery model.
Role type
Senior Solutions Architect (GenAI/Python)
Builds
Production RAG systems, agentic AI workflows, and backend services for enterprise clients
Domain
Consulting / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python (OOP, design patterns), Generative AI (RAG, agentic workflows), AWS (SageMaker, Bedrock, Lambda), LLM APIs (OpenAI, Anthropic), System Architecture, Client Stakeholder Management, Testing (pytest, mocking), Docker, Kubernetes
Preferred skills
Presales experience, Financial Services or Healthcare domain knowledge, React/Vue, CI/CD pipelines, Additional languages (Go, Node.js, Rust)
Technologies
Python, Flask, Django, FastAPI, AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR), Docker, Kubernetes, OpenAI, Anthropic Claude
Responsibilities
Embed with client teams to understand workflows before designing systems, Write production-grade Python code for AI integrations and APIs, Design and optimize RAG systems and agentic AI solutions, Own system architecture decisions (microservices, sync vs event-driven), Act as direct technical point of contact for clients, Support presales activities including technical proposals and demos, Mentor engineers and lead code reviews
Seniority
Senior, hands-on IC with client-facing responsibilities