FDE AI/Solutions Architect, AI, Python, Data

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

📋 Description

• Collaborate with the client and Forward Deployed Executive at the beginning of engagement to learn and reimagine the function from fundamental concepts.

• Attain a working fluency in areas such as insurance underwriting, healthcare revenue cycle, and asset flow.

• Design and deploy production GenAI systems within customer environments.

• Implement and enhance production RAG systems.

• Develop evaluation harnesses, establish success criteria, instrument systems, and utilize evaluations to inform design decisions.

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

• Deploy systems to production on AWS or GCP/Azure as necessary, utilizing containers, CI/CD, automated testing, monitoring, and ensuring a maintainable handover.

• Begin with existing blueprints and incorporate field learnings back into them.

• Lead architecture reviews, create technical design documents, contribute to standards, mentor engineers, and disseminate knowledge.

• Collaborate with an FDX responsible for Business Unit KPIs and ensure alignment of technical work with outcomes.

• Take charge of the technical direction for proposals and scoping.

• Foster adoption and manage change effectively.

• Present results convincingly to customer engineers and executives.

• Shape commitments prior to finalization.

⛳️ Requirements

• Proficient in B2+ English.

• Self-motivated and proactive; capable of identifying issues before they are brought to your attention.

• Comfortable navigating ambiguity and taking ownership.

• Willing to understand and engage in the client's work prior to coding.

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

• Ability to create scoped, phased delivery plans detailing deliverables, dependencies, risks, and cost estimates.

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

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

• Experience in designing and deploying production LLM applications and agentic workflows.

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

• Experience with LLM APIs like Anthropic, AWS Bedrock, or OpenAI and agent frameworks.

• Proven experience in building and refining production RAG systems.

• Strong engineering principles; proficient in Python and/or TypeScript.

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

• In-depth hands-on experience with AWS production tools, including Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar technologies.

• Cloud-native delivery experience utilizing containers, ECS or Kubernetes, IaC, and CI/CD in 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.

• Knowledge of cost and latency management, including model tiering and caching.

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

• Understanding of MCP, including why an agent may prefer it over REST integration.

• Suitability for B2B collaboration.

🏝️ Benefits

• Remote-friendly work 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 opportunities.

• Private medical insurance or a budget for medical expenses.

• Paid sick leave, vacation, and recognized public holidays.

• Provision of equipment and all necessary technology for efficient and productive work.