AI Solutions Engineer - JobID-0027

Innovative Defense TechnologiesArlington, VA
Onsite

About The Position

Innovative Defense Technologies (IDT) is seeking an AI Solutions Engineer to join their DevSecOps team. This role involves identifying, prototyping, and guiding the adoption of AI-enabled solutions across the business, focusing on evaluating emerging AI technologies, rapidly prototyping solutions, and integrating AI capabilities into internal workflows to improve efficiency and outcomes. The position requires collaboration with various internal teams including DevSecOps Security, Program Management, Compliance, Software Development & Testing, Systems Engineering, and Business Operations. The successful candidate will work with mid-to-senior level independence, driving solutions from concept to implementation while ensuring alignment with IDT’s mission, security requirements, and business objectives. This is an on-site position requiring at least 3 days in office, located in Arlington, VA or Mt. Laurel, NJ. Applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.

Requirements

  • 5–8 years of professional software or technical experience.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
  • U.S. citizenship.
  • Ability to obtain/maintain an active Secret U.S. Security Clearance.
  • Strong understanding of modern AI technologies—particularly large language models (LLMs), generative AI tools, and AI-assisted development workflows—and practical approaches for integrating them into real-world systems.
  • Experience designing and implementing technical solutions that leverage AI technologies to improve productivity, automation, or decision-making.
  • Ability to rapidly prototype and evaluate new technologies to determine their potential value to the organization.
  • Understanding of secure software development practices and AI-specific security considerations.
  • Familiarity working within environments that require strong security and compliance controls.
  • Strong problem-solving skills and the ability to independently define requirements, scope initiatives, and deliver practical solutions.
  • Strong communication skills, including the ability to explain complex technical concepts to diverse audiences.
  • Demonstrated ability to collaborate across engineering, security, compliance, and business teams.
  • Comfortable balancing innovation with security, compliance, and operational constraints.

Nice To Haves

  • Familiarity with MLOps practices such as model lifecycle management, monitoring, and CI/CD integration.
  • Experience integrating AI capabilities into DevSecOps or CI/CD pipelines.
  • Hands-on experience deploying AI-enabled tools or applications into production environments.
  • Experience working with generative AI technologies, large language models, or natural language processing tools.
  • Knowledge of NIST, DISA STIGs, RMF, or other compliance frameworks relevant to AI deployments in regulated environments.
  • Experience working in defense, government, or other mission-critical domains.
  • Experience evaluating emerging technologies and guiding organizational adoption.
  • Understanding of change management strategies for introducing new technologies into established workflows.

Responsibilities

  • Identify opportunities to apply AI technologies to improve productivity, decision-making, and automation across engineering and business functions.
  • Research, evaluate, and prototype AI tools, frameworks, and platforms to address internal operational challenges.
  • Design and implement practical AI-enabled solutions that integrate into existing workflows and systems.
  • Rapidly develop proof-of-concepts to validate potential AI solutions before broader adoption.
  • Collaborate with internal stakeholders across engineering, security, program management, and business teams to understand problems and deliver impactful solutions.
  • Integrate AI capabilities into existing development and operational processes while ensuring usability, reliability, and maintainability.
  • Support internal adoption of AI technologies by providing guidance, demonstrations, and knowledge sharing.
  • Stay informed on emerging AI trends, platforms, and best practices to help guide IDT’s internal AI strategy.
  • Document AI solution architectures, prototypes, and lessons learned to support knowledge sharing across the organization.
  • Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, particularly in sensitive and classified environments.
  • Continuously evaluate and refine AI adoption strategies to align with evolving business needs and technology landscapes.

Benefits

  • Competitive pay
  • Generous benefits package
  • Competitive PTO
  • Paid holidays
  • 401(k) with immediate vesting and matching
  • 9/80 optional schedule (2nd and 4th Friday off every month)
  • Tuition Assistance Reimbursement Program
  • Professional Development Resources
  • Pre-Tax Commuter Benefits
  • Organization-Wide Monthly Tech Connect Events
  • Annual Employee Recognition Awards
  • Regular Social Events and Catered Lunches
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