AI Engineer

We’re seeking motivated mid-level AI engineers to solve complex problems across enterprise IT, defense, intelligence, health, and energy domains. This role centers on designing, deploying, and securing generative AI and agentic AI systems that improve workflows and unlock new operational capabilities. 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 secure, transparent, resilient, and accountable. You’ll work with multidisciplinary teams to transition cutting-edge AI research into operational environments where accuracy, security, and reliability are essential. Primary Responsibilities: Partner with Agentic AI scientists and engineers to design, build, and deploy AI agents that automate and optimize complex workflows. Support both R&D and customer-facing programs, accelerating the transition of applied AI research into operational impact. Develop software and infrastructure for agent communication, API integration, orchestration, monitoring, testing, and deployment. Build and maintain agentic workflows using open-source and commercial LLMs, agent frameworks, and retrieval systems. Design approaches for evaluating and securing AI agents, ensuring reliability, performance, and trustworthy outcomes. Ensure AI systems align with ethical, transparency, fairness, and security principles. Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field with 4+ years of directly related experience in AI / Automation / MLOps. Strong intellectual curiosity and ability to work independently. Experience developing agentic AI systems, including planning–execution–reflection loops, multi-agent coordination, tool use, API integration, RAG, and memory/context management. Hands-on experience with generative AI and NLP techniques including prompt engineering, semantic search, summarization, and entity extraction. Working knowledge of LLMs and frameworks such as LangChain, LangGraph, CrewAI, AutoGen, MCP, or A2A. Experience with vector databases such as Pinecone, Weaviate, or FAISS. Proficiency in Python and modern software engineering practices. Familiarity with SDLC and DevSecOps methodologies. Experience deploying applications in containerized or virtualized environments such as Docker, Kubernetes, or VMware. Ability to mentor junior engineers and contribute within collaborative technical teams. U.S. citizenship required with ability to obtain a Secret clearance. Preferred Qualifications: Experience implementing AI safety, guardrails, and bias-mitigation strategies for autonomous and multi-agent systems. Familiarity integrating AI agents with cloud-native systems, streaming pipelines, and real-time operational environments. Experience with AI evaluation and observability tools such as LangSmith or OpenAI Evals. Experience integrating AI services such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or NIMS. Proficiency with Linux Bash, PowerShell, or similar automation tools. Experience optimizing ML workloads using CUDA, PyTorch, or TensorFlow. 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. Apply To This Job