Python/GenAI Solutions Architect (USA, Remote)

Mindset

Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure.

Already using AI tools in your daily workflow (Claude Code, Copilot, or similar).

Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you.

B2+ English, comfortable collaborating across distributed, multicultural teams.

Presales & Client Engagement

Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget.

Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks.

Experience with cost estimation and cloud architecture cost optimization.

Python, AI & Cloud

7+ years building and running production systems, not only demos and POCs.

Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.

Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization.

Experience building RESTful APIs with FastAPI, Django REST, or Flask.

Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL.

Strong testing practices: pytest, mocking, and integration tests for AI systems.

Experience with Docker and Kubernetes.

Hands-on experience building production LLM-based applications and agentic workflows.

Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock).

Experience building and optimizing RAG systems.

Understanding of LLM evaluation techniques and quality assurance approaches.

Experience deploying and maintaining AI/ML models in production environments.

Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered.

Experience with React/Vue.

AWS and Claude Code Certifications.

Nice to Have

Experience with Streamlit or Gradio for AI prototyping.

Modern Python tooling (ruff, uv, pyproject.toml, pyright).

CI/CD pipeline experience (GitHub Actions, GitLab CI).

Experience in an additional language (Go, Node.js, or Rust).

Front-end experience.