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.

Primary Responsibilities

• 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.
• Support multiple programs with both R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.
• Create 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.
• Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.
• Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
• Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.

Multiple openings at various levels with minimum education and experience requirements as follows:

• Level 2: Bachelor's degree in Computer Science, Engineering or related field and 2+ years of relevant experience, or a Masters degree with relevant experience
• Level 3: 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

Basic Qualifications

• 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 problems of moderate complexity
• Working knowledge of Large Language Models (LLMs) and agent frameworks such as Lang Chain, Lang Graph, CrewAI, A2A, MCP, or Auto Gen
• Experience using vector databases (e.g., Pinecone, Weaviate, FAISS)
• Proficiency in modern software languages—preferably, Python
• Experience with the Software Development Lifecycle (SDLC), including Dev Sec Ops practices
• Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes)
• US citizenship is required and able to obtain a Secret clearance

Preferred Qualifications

• Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems
• Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments
• Familiarity with evaluation and observability tools for AI agents, such as Lang Smith, OpenAI Evals, or custom telemetry systems
• Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI
• Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools
• Hands-on GPU programming experience for ML workloads using CUDA, Py Torch, or Tensor Flow, including optimization for performance and efficiency.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

February 6, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $69,550.00 - $125,725.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.