Software Engineer, Forward Deployed AI Solutions

What you'll do

• Translate customer goals into clear system requirements for security, privacy, reliability, and scalability.
• Partner directly with customers to analyze current workflows, data quality, and adoption blockers.
• Create and maintain solution architecture artifacts including data flow diagrams and integration plans.
• Prototype and validate workflows with end users to de-risk approaches and prove product-market fit.
• Drive projects from technical discovery through implementation, production launch, and operational handoff.
• Ensure deployed workflows are reliable, measurable, and successfully adopted by customer teams.
• Convert successful deployments into reusable patterns, components, and playbooks for future projects.

What we're looking for

• Experience shipping production software in high-ownership environments.
• Ability to work directly with enterprise customers from discovery through production implementation.
• Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering.
• Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs.
• Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar.
• Ability to design secure, scalable systems and produce clear technical documentation.
• Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns.
• Experience building LLM systems, including RAG, agents, monitoring, and evals.
• Willingness to travel up to ~50% as needed.
• Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting (preferred).