Senior AI Engineer

At Leidos, you’ll help build AI solutions for critical missions across defense, intelligence, healthcare, energy, and space. Our focus is Trusted Mission AI - systems that are transparent, secure, resilient, and accountable. You’ll work with multidisciplinary teams to transition advanced AI research into operational environments where reliability and performance matter most. We are seeking a Senior AI Engineer to design, develop, and deploy agentic AI systems that transform human workflows and deliver measurable mission impact. This role combines applied research, production engineering, and customer engagement to operationalize next-generation AI capabilities. This role is ideal for engineers who want to apply advanced AI capabilities to high-impact, mission-critical problems while shaping the future of Trusted Mission AI What You’ll Do: Build and deploy AI agents that automate and optimize complex workflows Develop production-grade AI pipelines using Python and modern AI frameworks Integrate LLMs, tools, APIs, retrieval systems, and external services into scalable agent architectures Support testing, debugging, deployment, monitoring, and observability of AI systems Develop secure, reliable, and ethical agentic workflows with built-in guardrails and evaluation strategies Collaborate with AI scientists, engineers, and mission stakeholders to transition R&D into operational solutions Evaluate AI systems for accuracy, performance, safety, and mission effectiveness Contribute to research prototypes, technical publications, and conference presentations as applicable Required Qualifications: Bachelor's degree with 6+ years of relevant experience Experience with LLMs and agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MCP, or A2A Ability to design tool-using AI agents with API integration, RAG, and memory/context management Experience with vector databases such as Pinecone, Weaviate, or FAISS Strong Python development skills and experience building modular, production-ready AI systems Experience with SDLC and DevSecOps practices Experience deploying applications in containerized or virtualized environments (Docker, Kubernetes, VMware) Strong communication skills and ability to work directly with end users and non-technical stakeholders Self-starter with strong collaboration and problem-solving skills US citizenship is required and able to obtain Secret clearance or higher Preferred Qualifications: Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar AI platforms Strong understanding of prompt engineering, NLP, semantic search, summarization, and entity extraction Experience building autonomous or multi-agent AI systems with planning, execution, and reflection loops Familiarity with AI evaluation and observability tools such as LangSmith or OpenAI Evals Experience implementing AI safety, guardrails, and bias mitigation strategies GPU/ML optimization experience with CUDA, PyTorch, or TensorFlow Experience integrating AI systems with streaming pipelines and real-time decision environments Scripting experience with Bash, PowerShell, or equivalent automation tools LeidosAI 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: January 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 $107,900.00 - $195,050.00 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.