Artificial Intelligence​/Machine Learning Engineer; Pending Award

Pipeline Requisition – Proposal (Anticipated Start: September 2026)

Location: Wright Patterson Air Force Base, Dayton, OH (subject to award)

Contract Type: Proposal Pipeline – Positions contingent upon contract award

We are building a talent pipeline in support of an upcoming contract proposal to provide advisory and assistance services to Air Force Life Cycle Management Center (AFLCMC) to support the National Air and Space Intelligence Center (NASIC) mission areas including engineering, analysis, information technology and cyber security, with anticipated work beginning in September 2026.

This position will support NASIC’s production of technical intelligence; modernize capabilities; support intelligence community collaboration and Department of War (DoW) mission needs. Work will be performed on-site at Wright Patterson Air Force Base, Dayton, OH, pending award.

• Ability to obtain and maintain a DoD security clearance (Secret or TS/SCI depending on role)
• Strong background directly aligned with the technical or analytical specialty area
• Strong analytical, communication, and writing skills
• For some roles, advanced degrees (MS/PhD) are preferred

• Experience supporting DoW, interagency, or national security missions is highly desirable
• Experience with in the National Air and Space Intelligence Center (NASIC) community.

The Artificial Intelligence/Machine Learning (AI/ML) Engineer provides engineering support to deliver secure, low‑risk technical solutions and effective program execution, including the integration of intelligent automation, AI, and machine learning. Responsibilities include developing and managing programs to guide digital transformation to cloud computing environments and the implementation of intelligent automation, AI and ML capabilities. The engineer leads programs that guide the application of hardware, software, and policy to modernize and adapt legacy systems for hybrid classified cloud environments.

Additionally, the engineer develops and oversees programs that enable the adoption and operationalization of IA/AI/ML solutions, ensuring alignment with mission priorities, data strategies, and security requirements.

• Bachelor’s degree in computer science/engineering or related discipline
• Minimum 5 years of related experience.
• Requires proficiency in complete software development lifecycle.
• 3+ years of experience in AI/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, Tensor Flow, or Keras
• Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
• Experience applying AI/ML research to develop AI/ML solutions
• Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
• Requires good oral and written communication skills, interpersonal skills, including ability to adapt and work effectively in a variety of configurations independently, as a member of a team, and in a matrix reporting environment.
• Requires ability to prioritize tasks, show considerable initiative, resolve conflicts and handle complaints.

Founded in 1998, Design Interactive (DI) is a small business dedicated to optimizing and enhancing human performance by utilizing cutting‑edge technology, pioneering research, and focusing on digital transformation. We deliver end‑to‑end solutions—Human Factors & Human Systems Integration, UX/UI Design & Human-Centered Design, Digital Transformation, Applied Research & Technology Development, Data Science & Advanced Analytics, Artificial Intelligence & Machine Learning (AI/ML), Life Cycle Software Development, and System & Software Integration.

DI solves high impact performance challenges across both defense and commercial industries.

We Empower People with Innovative Technology.

We’re committed to an inclusive and diverse workplace where every individual feels valued and respected. We provide equal opportunities to all candidates, regardless of background or identity.

We encourage applications from candidates of all backgrounds, experiences, and abilities—including those from underrepresented communities in technology.