Standard Job Description

Responsible for developing, integrating, and deploying autonomy and artificial intelligence algorithms for mission systems, supporting the technology development life cycle from requirements generation through development, integration, and testing, as well as research in some organizations.Develops, integrates, and implements algorithms to enable perception, motion/mission planning, controls, etc. functionality in LM products and platforms; Translates requirements and applies requirements to development code, integrating autonomy, AI or machine learning algorithms to LM products and platforms; Determines software methods to best acquire and execute knowledge; Implements algorithms into software to train systems to recognize patterns and perform specific functions; Responsible for various phases of developing and maintaining autonomy software from requirements generation, software design and development to integration, testing, troubleshooting and debugging, and implementation; Review test outcomes, conducts troubleshooting, and works to debug issues; Develops human-machine interface scenarios, breaking missions into tasks; Documents interface requirements and implements human-machine interfaces

You will be responsible for advancing AI‑driven engineering automation across the defense acquisition lifecycle.

Your responsibilities will include:

• Define and own the product roadmap, translating sustainment and design engineer needs into a defensible software architecture. Govern the core data ontology and direct the AI‑powered software development effort. Lead research and development of machine‑learning, knowledge‑representation, and deep‑learning models that automate the creation of engineering and sustainment work products. Collaborate with cross‑functional teams— software, ontology, simulation, UI/UX, test, and external partners—to ensure seamless integration and validation. Deliver prototypes through operational release, optimizing performance, security, and compliance for defense and commercial customers. Serves as the senior algorithm and AI research expert with current knowledge of modern machine learning research and contributes to the inception of ideas that drive development cycles from research, through prototype and test, for a major project or a component of a major project.

• Govern the core data ontology and direct the AI‑powered software development effort.

• Lead research and development of machine‑learning, knowledge‑representation, and deep‑learning models that automate the creation of engineering and sustainment work products.

• Collaborate with cross‑functional teams— software, ontology, simulation, UI/UX, test, and external partners—to ensure seamless integration and validation.

• Deliver prototypes through operational release, optimizing performance, security, and compliance for defense and commercial customers.

• Serves as the senior algorithm and AI research expert with current knowledge of modern machine learning research and contributes to the inception of ideas that drive development cycles from research, through prototype and test, for a major project or a component of a major project.

Basic Qualifications

• Must hold a Final DoD Secret clearance prior to start.

• Holds a Bachelors degree in a related disciple, or equivalent combination of education and experience.

• Demonstrated experience working with cross functional teams (i.e. engineering, finance, program management, sustainment). Demonstrated experience in project leadership in delivering proven results in partnership with multiple stakeholders.

• Demonstrated experience with artificial intelligence (AI) research, implementation, software development, and/or application of large language models in sustainment or engineering context.

• Demonstrated experience with military logistics, sustainment, supply chain management, inventory management, and/or warehousing to deliver and/or sustain aerospace products.

Desired Skills

• An advanced degree in computer science, artificial intelligence, knowledge or data engineering, systems engineering, or a related technical discipline, together with an active peer reviewed publication record, is highly desirable given the research dimension of this role.

• Demonstrated leadership with self-starter driver; Proven ability to influence others.

• DoD acquisition and proposal experience across a System Life Cycle.

• Experience with data ontology and knowledge architecture.

• Experience in product ownership and solution development.

• Experience in Computer Aided Design (CAD) Modeling.

• Experience in the Sustainment phase of the Life Cycle.

• Experience effectively briefing Senior and Executive Level Leadership.

• Experience supporting a major IT system modernization projects like Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) or Product Lifecycle Management (PLM).

• Demonstrated ability to work independently; Analytical thinker with a demonstrated ability of solving complex problems with require ingenuity and innovation.