Python Solutions Architect (GenAI)
Core
Design, build, and scale GenAI-powered solutions (AI agents, RAG systems, Python services) for enterprise clients.
Role type
Senior Solutions Architect (GenAI)
Builds
Production-ready AI/ML systems, data platforms, and cloud-native architectures
Domain
AI/ML, Cloud Infrastructure, Enterprise Consulting
Deliverable
production ML models | product features | client delivery
Required skills
Python (OOP, design patterns, FastAPI/Django/Flask), LLM integration, RAG system design, AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS), Docker, Kubernetes, RESTful API design, LLM evaluation, presales technical scoping, cost optimization, architectural trade-off analysis, mentoring
Preferred skills
React/Vue, Streamlit/Gradio, CI/CD pipelines, Go/Node.js/Rust, modern Python tooling
Technologies
Python, FastAPI, Django REST, Flask, AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR), Docker, Kubernetes, React, Vue, Streamlit, Gradio, GitHub Actions, GitLab CI
Responsibilities
Write production-grade Python for AI integrations and backend services; implement and optimize RAG systems; design and build LLM-based agentic solutions; own technical direction from discovery to delivery; support presales with technical proposals and demos; lead architecture reviews and produce design documents; mentor engineers and conduct code reviews; build relationships with client stakeholders
Seniority
Senior, hands-on IC with presales and mentorship responsibilities