Forward Deployed Engineer AI/ Solutions Architect (AI, Python/Data)

📋 Description

• Take the seat: Sit with the client and the Forward Deployed Executive at the start of an
• Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset
• Design and ship production GenAI systems into the customer’s environment (cloud-native data
• Build the evaluation harness before you build the feature. Define what working means, instrument
• Write production code across the stack — AI, backend services, data pipelines. We choose tools to
• Take systems to production on AWS (GCP or Azure where the customer requires it): containerised

🎯 Requirements

• 7+ years building and running production systems.
• Solid AI/ML foundations. You understand what the models do well enough to reason about failure
• Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs
• Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management
• Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
• Experience building and optimizing RAG systems in production.

🎁 Benefits

• The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from
• A forward-deployed model working in small, senior teams alongside Principal Architects and Forward
• A growing AI delivery practice where you help build the tooling and frameworks, not just use them.
• Remote-friendly culture.
• Internal training programs with full support for Claude, AWS, and other professional
• Career growth; we actively develop our engineers.