Innovative Defense Technologies (IDT) · 1 day ago
AI Solutions Engineer
Innovative Defense Technologies (IDT) is seeking an AI Solutions Engineer to join their DevSecOps team, focusing on AI adoption within multiple internal organizations. The role involves identifying opportunities for AI integration, prototyping solutions, and collaborating with stakeholders to enhance productivity and decision-making in mission-critical environments.
Information TechnologySoftware
Responsibilities
Identify opportunities to leverage AI/ML technologies across diverse internal organizations
Define and execute AI adoption initiatives with measurable business and operational impact
Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs
Collaborate with internal stakeholders to design, develop, and implement AI-based solutions
Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements
Develop and maintain proof-of-concepts and production-ready solutions for internal use
Stay informed on AI trends, tools, and best practices; share knowledge and provide training as needed
Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth
Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments
Continuously evaluate and improve AI adoption strategies to align with evolving business goals and technology landscapes
Qualification
Required
5-8 years of professional software/technical experience, and 3+ years in an AI Engineering related role
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience
Ability to travel 10% of the time as needed
U.S. citizenship
Strong understanding of AI concepts and practical deployment patterns
Demonstrated ability to scope requirements for engineering solutions that meet business challenges using AI with measurable outcomes
Experience in engineering solutions that integrate AI models into production workflows to improve User Experience and productivity
Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments—to support multiple deployment environments
Understanding of secure software development practices and AI-specific security risks as they pertain to a full SDLC
Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
Strong communication skills — ability to collaborate and explain complex concepts to diverse audiences, and synthesize details into actionable recommendations and implementations
Cross-functional collaboration — builds strong relationships across engineering, security, compliance, etc
Experience modernizing technologies by conducting rapid prototyping and building POCs
Risk-aware decision-making — balances innovation with compliance and security needs
Preferred
Familiarity with MLOps (model monitoring, CI/CD, model versioning)
Familiarity with embedding AI into DevSecOps CI/CD pipelines
Hands-on experience deploying AI/ML solutions into production environments
Knowledge of NIST, DISA STIGs, or other industry compliance frameworks relevant to AI deployments in regulated environments
Familiarity with natural language processing (NLP) and generative AI tools
Understanding of change management strategies to support technology adoption
Prior experience in defense, government, or other mission-critical domains
Benefits
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