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Python/GenAI Solutions Architect

3 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS CI/CD Django Docker FastAPI Flask GCP Generative AI GitHub Actions GitLab CI Go Kubernetes Machine Learning Microservices Node.js Pytest Python React REST API Rust SQL Vue.js
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 37

Description

  • Embed directly with client teams throughout engagements and understand operational workflows before designing solutions.
  • Develop production-grade Python for AI integrations, backend services, and RESTful APIs using Flask, Django, or FastAPI.
  • Design, build, and optimize production RAG systems and agentic AI solutions.
  • Own system architecture, technical direction, and trade-off decisions throughout engagements.
  • Serve as the primary technical contact for clients, presenting architectures and managing scope expectations.
  • Support presales activities including discovery calls, technical proposals, estimation, scoping, and client demos.
  • Lead architecture reviews, create technical design documents, and contribute to Python engineering standards.
  • Improve Provectus blueprints based on engagement learnings.
  • Mentor engineers, lead code reviews, and share technical knowledge.

Requirements

  • 7+ years of experience building and operating production systems; demo- or proof-of-concept-only experience is insufficient.
  • Production experience with RAG systems and LLM-based agentic workflows.
  • Strong Python proficiency, including object-oriented programming, design patterns, clean architecture, and performance optimization.
  • Backend development experience with Flask, Django REST, or FastAPI.
  • Recent hands-on AWS experience with services such as SageMaker, Bedrock, Lambda, ECS, S3, SQS, or ECR; GCP experience is also considered.
  • Experience with LLM APIs including OpenAI, Anthropic Claude, or AWS Bedrock.
  • Experience making and defending system architecture and design trade-offs.
  • Client-facing communication skills and ability to work independently with stakeholders.
  • Strong testing practices, including pytest, mocking, and AI-system integration testing.
  • Experience with Docker, Kubernetes, production AI/ML deployment, LLM evaluation, and AI-assisted development tools; B2+ English required.
  • Preferred: presales or consulting experience, Financial Services or Healthcare/Life Sciences exposure, React or Vue, AWS or Claude Code certifications, Streamlit or Gradio, CI/CD, modern Python tooling, or Go, Node.js, or Rust.

Benefits

  • Remote-friendly culture.
  • Performance-based bonuses and strong earning potential.
  • Unlimited vacation policy.
  • Generous health, vision, and dental insurance.
  • 401(k) matching plan.
  • Full-time or B2B contract options.
  • Opportunity to work with advanced AI and cloud solutions and contribute to delivery tooling and frameworks.

Interested in this position?

Apply directly on the company website

Apply Now

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