Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
What you'll do:
Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications.
Prototype in code. Ship working React/TypeScript implementations, not mockups — then land them in production with the product teams.
Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces.
Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces.
Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions.
Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership.
Establish reusable design patterns and a component vocabulary for AI applications across the organization.
Drive adoption: instrument what you ship, watch real usage, and iterate daily.
Required qualifications:
12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product.
Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes.
Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft.
Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management.
Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events.
Experience running user research and usability testing, and acting on the results.
Strong software hygiene: Git, code review, testing, CI/CD.
Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply.
Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS).
This role requires travel to a Shield AI location 1-3 times per quarter
Preferred qualifications:
Experience designing developer tools, IDEs, or engineering workflow products.
Data visualization experience (D3, WebGL, dashboards); geospatial a plus.
Experience building or maintaining a design system.
Experience designing debugging/inspection UIs for generative AI systems.
Experience with Electron (or similar).
Experience with user experience design for video games or interactive media.
Experience designing for "low code" or "no code" systems.
Comfort reading C++ and/or Python and/or Go.