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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 across North America, LATAM, and EMEA. We build production AI for global enterprises, in partnership with Anthropic, Cohere, and AWS.

We are looking for a Solutions Architect with Generative AI and Python/ Data 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 Tech Lead ready to step into that role. Either way, you'll own technical vision: discovery, drive architecture decisions, and become the authority clients and teams rely on.

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.

  • 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

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
Provectus

Provectus

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