AI Engineer

At Leidos, you’ll contribute to AI solutions that serve critical national and global missions—ranging from defense and intelligence to healthcare, energy, and space exploration. Our work emphasizes Trusted Mission AI: systems that are transparent, ethical, resilient, and accountable. You’ll collaborate with multidisciplinary teams to transition AI research into operational environments where accuracy, security, and reliability are non‑negotiable. Joining Leidos means applying your expertise to solve some of the most complex and meaningful challenges of our time.

We are looking for a motivated AI engineer who wants to work on challenging problems in a variety of domains – including enterprise IT, health, defense, intelligence, and energy – to get results that apply and go beyond the state of the art for measurably better outcomes.

We apply our knowledge, capabilities, and experience to develop and deploy Trusted Mission AI – AI that deserves to be trusted by system owners, end users, and the public – to be helpful, harmless, and honest. We are looking for a researcher that is expert in envisioning, developing, and securing AI agents using generative AI and LLM‑based tools to transform and add value to human workflows.

The AI Engineer will collaborate with Agentic AI Scientists to build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities. As a member of the Leidos AI Accelerator, they will be tasked at different times with both R&D as well as customer‑facing goals, to speed the transition of novel applied research and solutions development into impact on contract.

The tasks of the AI Engineer will include creating software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems. They will utilize a combination of open‑source models, agentic tools, and large proprietary commercial models. They will be developing novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.

They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles. They should expect they may conduct research, develop prototypes, evaluate and document results, potentially through publication and presentation at conferences and other public forums. They should also expect they may be part of a team developing solutions for deployment into operational environments, or for integration into mission systems.

They should be a self‑starter while also working well within the team, collaborating and sharing discoveries and seeking feedback.

Multiple openings at various levels. The various position’s minimum education and experience requirements are as follows:

• T1:
  Bachelor's degree in Computer Science, Engineering or related field and relevant experience
• T2:
  Bachelor's degree in Computer Science, Engineering or related field and 2+ years of relevant experience, or a Masters degree with relevant experience
• T3:
  Bachelor's degree in Computer Science, Engineering or related field and 4+ years of directly applicable experience, or a Masters degree and 2+ years of directly applicable experience

• Self‑starter with a high degree of intellectual curiosity
• Proficiency in applying technical principles, theories, and concepts in the field
• Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi‑agent collaboration and coordination, and tool usage patterns including API integration, retrieval‑augmented generation (RAG), and memory/context management
• Solid understanding and hands‑on experience with generative AI models including prompt engineering, chain‑of‑thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
• Ability to effectively guide junior engineers in applying standard practices and resolving…