AI/ML Solutions Architect

Role overview Lead the technical direction of AI and machine learning initiatives focused on predictive logistics and condition based maintenance for U.S. military services. Guide work from early design through operational delivery, connecting architecture decisions to equipment availability and readiness goals while coordinating across engineering teams and government stakeholders.

Responsibilities - Set architecture and technical guidance for AI/ML programs supporting maintenance and logistics. - Coordinate dependencies and align specialist teams across complex, multi-team efforts. - Translate mission needs into clear technical plans, and explain engineering constraints and risks to stakeholders. - Make tradeoffs that keep delivery moving while balancing technical quality and program timelines. - Mentor technical staff and improve team decision-making and delivery effectiveness. - Keep delivered systems focused on practical outcomes such as fleet maintenance and asset availability.

Requirements - Active Secret security clearance; candidates must already hold one. - 10+ years in technical leadership, software engineering, or data architecture, with a focus on AI/ML systems. - Demonstrated ability to design and oversee complex data and machine learning workflows in Databricks. - Experience leading across teams through influence and building agreement on technical direction. - Strong judgment in high-stakes technical decisions and tradeoffs. - Clear communication with engineering teams and senior government stakeholders.

Nice to have - Familiarity with the War Data Platform, formerly known as Advana, or the BLADE environment. - Experience in military logistics, condition based maintenance, or defense sustainment. - A master’s or doctoral degree in computer science, AI/ML, or a related quantitative field.

Benefits and work setup - Listed base salary range: $190,000–$225,000 per year; actual pay depends on qualifications, clearance, location, and other factors. - Eligible employees may receive benefits and performance-based or other incentive compensation.