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Shield AI

Staff Field Solutions Engineer (R5523)

Washington, DC

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hirly's read of this role

Seniority
Lead / management
Country
US
Work mode
Remote-friendly
First seen by hirly
11 Sept 2026

Derived automatically from the posting.

the posting

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, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. 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 .

Job Description:

Shield AI is hiring a Field Solutions Engineer, Hivemind to support technical sales, customer engagements, demonstrations, and capture activities for Hivemind, Shield AI’s autonomy solution for intelligent, mission-capable unmanned systems.

Hivemind enables autonomous operation across complex mission environments, allowing aircraft and other robotic systems to perceive, decide, coordinate, and execute with reduced operator burden. This role will serve as a customer-facing technical expert for Hivemind, helping defense and security customers understand how autonomy can solve operational problems, improve mission outcomes, and integrate into existing and future force structures.

The Field Solutions Engineer will translate customer mission needs, CONOPs, operational constraints, and platform integration considerations into credible, technically feasible Hivemind solution concepts. This includes supporting customer discovery, technical briefings, demonstrations, RFIs, RFPs, white papers, technical interchange meetings, and customer-specific solution development.

Success requires technical credibility, strong communication, product truth, and the ability to connect Hivemind’s autonomy capabilities to real customer missions across varied operational environments.

Original posting on Shield AI's site ↗

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