Lead AI Solutions Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking a creative, inventive Artificial Intelligence (AI) Engineer in support of the Report Authoring and Dissemination (RAD) team. In this high-impact role, you will bridge AI innovation and operational reality by working side-by-side with software and system engineers to design, prototype, and integrate agentic AI capabilities directly into the existing RAD architecture. Rather than training models from scratch, your focus will be applying existing state-of-the-art Large Language Models (LLMs) to solve real mission challenges. You will construct agentic solutions—coordinated networks of AI agents and engineered prompts—that transform manual workflows into automated, high-throughput reporting, directly empowering intelligence operations.

Requirements

  • ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
  • Proven experience applying existing Large Language Models (LLMs) to practical operational workflows and business logic.
  • Hands-on experience designing and deploying agentic solutions, multi-agent frameworks, and complex prompt engineering strategies.
  • Strong capability to design, prototype, and integrate automated AI capabilities that replace or streamline manual tasks.
  • Ability to work closely with systems and software engineering teams to seamlessly integrate AI features into existing, complex system architectures.
  • Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 7 + years of professional software engineering experience OR High School Diploma / GED , PLUS 11 + years of hands-on technical software development experience in lieu of a degree.

Nice To Haves

  • Familiarity or experience with intelligence reporting, authoring frameworks, or dissemination workflows.
  • Experience with frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar agent orchestration tools.
  • Proficiency building and consuming RESTful APIs or web services to support AI backend integration.

Responsibilities

  • Design, prototype, and integrate agentic AI capabilities directly into the existing RAD architecture.
  • Apply existing state-of-the-art Large Language Models (LLMs) to solve real mission challenges.
  • Construct agentic solutions—coordinated networks of AI agents and engineered prompts—that transform manual workflows into automated, high-throughput reporting.
  • Work side-by-side with software and system engineers to integrate AI features into existing, complex system architectures.

Benefits

  • Discretionary bonus compensation
  • Comprehensive benefits package
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