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FDE AI/ Solutions Architect (AI, Python/Data)

1 month, 2 weeks ago
Serbia, Slovakia, Slovenia, Spain, Poland, Ukraine, Armenia
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS Azure CI/CD GCP Generative AI GitHub Actions GitLab CI Go Kafka Kubernetes LLM Python REST API Rust TypeScript
Apply Now
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 33

Description

  • Sit with clients and the Forward Deployed Executive at the start of engagements to understand the function from the inside and redesign it from first principles.
  • Map how client workflows actually operate, identify the underlying business problem, and turn it into a working AI solution.
  • Reach working fluency in new domains such as insurance underwriting, healthcare revenue cycle, or asset flow.
  • Design and ship production GenAI, LLM-based, and agentic systems into customer environments.
  • Implement and optimize production RAG systems.
  • Build evaluation harnesses, define success criteria, instrument systems, and use evals to guide design and release decisions.
  • Write production code across AI, backend services, and data pipelines.
  • Deploy systems on AWS or customer-required cloud environments with containers, CI/CD, automated testing, monitoring, and maintainability.
  • Lead architecture reviews, produce technical design documents, contribute to standards, and mentor engineers.
  • Own technical direction for proposals and scoping, support change management, and help shape commitments before they are made.

Requirements

  • 7+ years building and running production systems.
  • Solid AI/ML foundations with the ability to reason about model behavior and failure modes.
  • Experience designing and shipping production LLM applications and agentic workflows, not just demos or POCs.
  • Experience with agentic orchestration, including multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure.
  • Experience with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI, and with agent frameworks.
  • Experience building and optimizing RAG systems in production.
  • Strong engineering fundamentals with proficiency in Python and/or TypeScript.
  • Hands-on AWS production experience with services such as Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, and ECR; GCP or Azure is a plus.
  • Experience with cloud-native delivery including containers, ECS or Kubernetes, IaC, and CI/CD for AI pipelines.
  • Experience building or owning an eval suite for a non-deterministic system, including ground truth definition and release gating.
  • Experience with model and agent monitoring, drift detection, cost discipline, and latency optimization.
  • Hands-on production experience with the Claude ecosystem, including Claude Code, CLAUDE.md, hooks, and skills files; spec-driven development is a strong plus.
  • Experience with MCP, and the ability to explain its advantage over REST integrations; authoring an MCP server is a plus.
  • Proactive, self-directed mindset and comfort with ambiguity and ownership.
  • B2+ English and comfort collaborating across distributed, multicultural teams.
  • Willingness to spend time understanding the client's work before writing code.
  • Ability to hold conversations with senior stakeholders, including BU heads and CTOs, and present outcomes clearly.
  • Ability to produce scoped, phased delivery plans with deliverables, dependencies, risks, and cost estimates.
  • Nice to have: prior founder, CTO, or engineering leader experience returning to individual contribution.
  • Nice to have: experience in financial services, insurance, or healthcare.
  • Nice to have: consulting, professional services, or embedded customer-facing delivery experience.
  • Nice to have: AWS and Claude Code certifications.
  • Nice to have: experience with an additional language such as Go, TypeScript, or Rust.
  • Nice to have: experience with Apache Spark, Apache Airflow, or Kafka.

Benefits

  • Remote-friendly culture.
  • Internal training programs with full support for Claude, AWS, and other professional certifications.
  • Conference attendance support.
  • Career growth and active engineer development.
  • Access to the latest AI tools and premium subscriptions.
  • Long-term B2B collaboration.
  • Private medical insurance or a budget for medical needs.
  • Paid sick leave, vacation, and public holidays.
  • Equipment and all the tech needed for comfortable, productive work.

Interested in this position?

Apply directly on the company website

Apply Now

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