FDE AI, Solutions Architect – AI, Python, Data

This is a fully remote position, open to applicants in Ukraine, +6 more countries.

📋 Description

• Collaborate with the client and Forward Deployed Executive at the beginning of engagements.

• Gain an in-depth understanding of the client's operations and reimagine them from fundamental principles.

• Achieve working fluency in areas such as insurance underwriting, healthcare revenue cycles, and asset flow.

• Design and implement production GenAI systems within customer environments.

• Develop and enhance production RAG systems.

• Create evaluation harnesses prior to feature deployment; establish success criteria, instrumentation, and evaluation-driven design.

• Write production code encompassing AI, backend services, and data pipelines.

• Deploy systems to production on AWS, or GCP/Azure when necessary, utilizing containers, CI/CD, automated testing, monitoring, and ensuring maintainability.

• Begin with existing industry Blueprints and incorporate insights back into them.

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

• Mentor engineers and disseminate knowledge throughout the team.

• Collaborate with an FDX to take ownership of outcomes linked to Business Unit KPIs.

• Oversee the technical direction of proposals and scoping.

• Facilitate adoption and manage change as part of engineering delivery.

• Present outcomes confidently to customer engineers and executives.

• Shape commitments before finalization.

• Transfer completed systems to clients.

⛳️ Requirements

• B2+ English proficiency.

• Comfortable collaborating with distributed, multicultural teams.

• Proactive and self-directed; able to identify issues before they arise.

• Comfortable navigating ambiguity and taking ownership.

• Willing to invest time in understanding and performing the client's role prior to coding.

• Credible with senior stakeholders, including Business Unit heads and CTOs.

• Capable of producing scoped, phased delivery plans that include deliverables, dependencies, risks, and cost estimates.

• Over 7 years of experience in building and operating production systems.

• Strong foundational knowledge in AI/ML and the ability to analyze model failure modes.

• Designed and deployed production LLM applications and agentic workflows.

• Experience with multi-step workflows, graph-based orchestration, tool utilization, state management, and partial-failure recovery.

• Familiarity with LLM APIs such as Anthropic, AWS Bedrock, or OpenAI and agent frameworks.

• Expertise in building and optimizing production RAG systems.

• Strong engineering fundamentals; adept at navigating unfamiliar codebases or programming languages.

• Proficient in Python and/or TypeScript.

• Experience in making and justifying architectural trade-off decisions.

• Hands-on experience with AWS production services, including Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar.

• Familiarity with containers, ECS or Kubernetes, Infrastructure as Code (IaC), and CI/CD for AI pipelines.

• Developed or managed an evaluation suite for a non-deterministic system, including ground truth and release gates.

• Experience with model and agent monitoring and drift detection.

• Skills in cost and latency optimization, including model tiering and caching.

• Hands-on production experience with the Claude ecosystem, including Claude Code, CLAUDE.md, hooks, and skills files.

• Understanding of MCP and its advantages over REST integration.

• Nice to have: experience as a founder, CTO, or in engineering leadership roles.

• Nice to have: experience in financial services, insurance, or healthcare sectors.

• Nice to have: experience in consulting, professional services, or embedded customer-facing delivery.

• Nice to have: familiarity with A2A knowledge.

• Nice to have: AWS and Claude Code certifications.

• Nice to have: experience with CI/CD pipelines using GitHub Actions or GitLab CI.

• Nice to have: experience with 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.

• Opportunities for conference attendance.

• Career advancement and active development for engineers.

• Access to the latest AI tools and premium subscriptions.

• Long-term B2B collaboration.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and public holidays.

• Provision of equipment and necessary technology for a comfortable, productive work environment.