Python/GenAI Solutions Architect

Provectus IT, Inc
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Multitier Architecture Artificial Intelligence Amazon Web Services Amazon S3 Cloud Computing Cloud Engineering Code Review Continuous Integration Software Design Patterns Django Web Framework Github Python (Programming Language)
+26 more
Machine Learning Node.Js NoSQL Object-Oriented Software Development Performance Tuning Software Tools Mockito SQL Databases Systems Integration ReactJS Flask (Web Framework) Large Language Models Generative AI Backend Fastapi Vue.js Build Management Pytest Gitlab-ci Integration Tests Front End Software Development Restful APIs Streamlit Framework Amazon Simple Queue Service (SQS) Docker Microservices

Job description

We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience. Someone who ships Python services, RAG systems, tools, and agents daily, with AI embedded across their entire workflow.

You might be an experienced SA ready to hit the ground running, or a Senior Engineer and Tech Lead ready to step into that role. Either way, you will own the technical vision, lead discovery, drive architecture decisions, and become the authority clients and teams rely on.

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.

Requirements

Do you have experience in Vue.js?, + 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.

Benefits & conditions

Pulled from the full job description

  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Flexible schedule, + 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.

About the company

Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester’s AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.

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