June 10, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
- Bachelors degree, Civil Engineering or Architecture degree highly preferred, from a college or university accredited by the Accreditation Board for Engineering and Technology (ABET) and 8+ years of experience in design and construction of commercial or institutional facilities or a Masters degree and 6+ years of relevant experience.
Maintain a deep working knowledge of the Facilities tech stack (Autodesk Construction Cloud, Revit, Kahua, and proprietary system) to build solutions that fit how people actually work Communicate impact to leadership in business terms - dollars, days, headcount equivalents - not just technical metrics Qualifications Required Qualifications & Skills 7+ years in a technical role - software development, product ownership, technical program management, or similar Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field; OR equivalent practical, hands-on experience in lieu of a degree Demonstrated experience building enterprise apps with AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code, OpenAI Coxed, and equivalent) Working knowledge of prompt and skill engineering, AI agent design and orchestration, and LLM application development Ability to connect systems via APIs and configure workflow automations end-to-end Strong UI/UX instincts - can produce functional, clean interfaces without a design team Excellent communication skills; equally comfortable in a whiteboard session with leadership or a working session with ops teams Self-directed; thrives in ambiguous environments and can quantify and communicate the business impact of technical work in terms of cost savings, time reduction, and operational efficiency Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid Pay Disclosure The salary range for this role is USD 125,800-157,200 for Georgia based applicants. Responsibilities Build & Deploy Design, build, and deploy internal applications, agents, and multi-step automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting the highest-cost manual processes across the Facilities org, such as project reporting, cost tracking, change order management, schedule forecasting, document review, cross-functional coordination, and vendor coordination Connect Facilities platforms (ACC, Procore, Kahua, FOS, Databricks) via APIs and MCP integrations to create seamless, intelligent workflows that unify siloed data and eliminate duplicate work Stand up production-ready enterprise solutions where speed and simplicity are prioritized over engineering complexity.