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# Senior AI Solutions Engineer - JobID-0287

- **Company:** Innovative Defense Technologies
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $135,000.0 - $273,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Natural Language Processing, Software Engineering, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Devsecops
- **Published:** September 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9156183/senior-ai-solutions-engineer-jobid-0287

## About the Role

* 7+ 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 travel up to 10% as needed
 * Strong understanding and experience in applying 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
 * Lead 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

What Makes You Stand Out:

 * Knowledge of Naval tactical systems like Aegis, SSDS, SLQ-32, or other similar systems
 * 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 800-53, DISA STIGs and Risk Management Framework processes, or other compliance frameworks specifically on AI systems
 * 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
 * Demonstrated ability to mentor and guide junior engineers.

## Description

What You Will Do:

 * 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
 * Implement practical AI-enabled solutions that integrate into existing workflows and systems
 * 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
 * Guide the organization on emerging AI trends, platforms, and best practices
 * 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


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