AI Engineer

• Embed with strategic customers as a technical partner, working from problem discovery to solution implementation and customer adoption.
• Architect, build, deploy, and operate agentic Generative AI systems: APIs, data processing ETL pipelines, integration layers, Retrieval Augmented Generation, and context engineering.
• Work in cloud, on-prem, and edge/air-gapped environments to ensure software can run where the mission demands.
• Prototype and deploy systems leveraging the core products and design patterns of the Unicorn Delivery Service (UDS); bring back insights from the field for continuous product improvement.
• Scope, sequence, and lead delivery of solutions: define living roadmaps, set priorities, trade off speed vs quality vs scope, work across internal teams and customer stakeholders to drive clarity and remove blockers early.
• Codify reusable patterns for mission environments: build tools, internal frameworks, playbooks so future deployments are faster, safer, and repeatable.
• Act as the technical face to customer leadership: communicate effectively with both technical and non-technical stakeholders, build trust, manage expectations, and ensure successful scale and mission adoption. This is a customer-facing role.
• Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.

Forward Deployed AI Engineer

AI Engineer II

AI Engineer

Staff AI Engineer

Forward Deployed AI Engineer, Customer Adoption and Innovation

Director, AI Engineering – Operations