Senior Solutions Architect | Python and GenAI
Core
Design, build, and optimize production-grade Generative AI systems (RAG, agentic workflows) embedded directly within client teams to solve real-world business problems.
Role type
Senior Solutions Architect (GenAI/Python)
Builds
Production AI/ML systems, backend services, and RESTful APIs for enterprise clients
Domain
Consulting, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python (OOP, design patterns, performance optimization), Generative AI (RAG, agentic workflows), Cloud (AWS SageMaker, Bedrock, Lambda, ECS, S3, SQS), LLM APIs (OpenAI, Anthropic, AWS Bedrock), System Architecture (microservices, event-driven), Docker, Kubernetes, Testing (pytest, mocking, integration tests)
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, pytest, GitHub Actions, GitLab CI
Responsibilities
Embed with client teams to understand workflows before designing solutions, write production-grade Python code for AI integrations and APIs, design and optimize RAG and agentic AI systems, own system architecture decisions, act as direct technical point of contact for clients, support presales activities, lead architecture reviews and mentor engineers
Seniority
Senior, hands-on IC
