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Solutions Architect (GenAI, Python/Data, AWS)

Provectus

Key Facts

Full time
Senior (5-10 years)
English

Other Skills

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

Roles & Responsibilities

  • 7+ years building and running production systems — not only demos and POCs
  • Hands-on experience building production LLM-based applications and agentic workflows
  • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
  • Experience deploying and maintaining AI/ML models in production environments

Requirements:

  • Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges
  • Implement and optimize RAG systems for production use cases
  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos
  • Own the technical direction of client engagements from discovery through delivery

Job description


What You’ll Do:

  • Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges

  • Implement and optimize RAG systems for production use cases

  • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.

  • Support presales: discovery calls, technical proposals, scoping, and client-facing demos

  • Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team

  • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs

  • Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.

    • Deploy ML and LLM-based solutions

    • Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.

    • Lead architecture reviews, produce technical design documents, and contribute to standards

    • Mentor engineers, lead code reviews, and share knowledge across the team.


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
    • AI & Python/ Data & Cloud
     
    • 7+ years building and running production systems — not only demos and POCs
    • Hands-on experience building production LLM-based applications and agentic workflows
    • Experience in integrating AI/ML components into solutions
    • 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
    • Python skills: OOP, design patterns, clean architecture, and performance optimization
    • Experience building RESTful APIs with FastAPI, Django REST, or Flask
    • Experience in making and defending architectural trade-off decisions
    • Experience with Docker and Kubernetes
    • Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
    • Understanding of CI/CD practices applied to ML and AI pipelines
    • Familiarity with model monitoring, observability, and drift detection.
      •  

      Nice to Have

      • AWS and Claude Code Certifications
      • CI/CD pipeline experience (GitHub Actions, GitLab CI)
      • Experience in an additional language (Go, Node.js, or Rust).
      • Hands-on experience with Apache Spark, Apache Airflow, Kafkа

    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
  • Long-term B2B collaboration
  • Remote with flexible hours
  • Private medical insurance or a budget for your medical needs
  • Paid sick leave, vacation, and public holidays
  • Equipment and all the tech you need for comfortable, productive work
    •
    Ready to apply?
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