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Python/GenAI Solutions Architect (USA, Remote)

Provectus

Key Facts

Remote From: 
United States
Full time
Senior (5-10 years)
English

Other Skills

  • •
    Proactivity
  • •
    Problem Solving
  • •
    Communication
  • •
    Teamwork

Roles & Responsibilities

  • 7+ years building and running production systems
  • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
  • Experience with Docker and Kubernetes
  • B2+ English, comfortable collaborating across distributed, multicultural teams

Requirements:

  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
  • Implement and optimize RAG systems for production use cases
  • Design and build LLM-based and agentic AI solutions that address real client business challenges
  • Own the technical direction of client engagements from discovery through delivery

Job description


What You’ll Do:
  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs.
  • Implement and optimize RAG systems for production use cases.
  • Design and build LLM-based and agentic AI solutions that address real client business challenges.
  • Own the technical direction of client engagements from discovery through delivery.
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos.
  • Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice.
  • Mentor engineers, lead code reviews, and share knowledge across the team.
  • Build and maintain strong relationships with key client stakeholders as a trusted technical advisor.

    • What You’ll Bring:
    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.

    • What We Offer:
  • Opportunity to work with cutting-edge AI and cloud solutions.
  • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications.
  • Career growth: a clear path toward SA or beyond  — we actively develop our engineers.
  • Access to the latest AI tools and premium subscriptions.
  • Remote with flexible hours.
  • Unlimited Vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(K) matching plan.
    •
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