Agentic AI Scientist

<h3>📋 Description</h3> • Leidos is hiring an Agentic AI Scientist to develop and deploy Trusted Mission AI; work with a team to design agentic workflows; ensure ethical guidelines; publish results; deploy into operational environments • Create AI agents to plan, act, assess, and deliver measurable outcomes; extend to enterprise IT, health, defense, intelligence, and energy domains • Collaborate with multidisciplinary teams to transition AI research into operational environments with accuracy, security, and reliability • The role includes R&D and customer-facing goals within the Leidos AI Accelerator; transition research into impact on contract • Self-starter who works well within a team and shares discoveries; multiple openings at various levels <h3>🎯 Requirements</h3> • Practical understanding of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen • Practical 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 • Skilled in data exploration using Python-based tools (e.g., Pandas, NumPy, Jupyter) • Self-starter with a high degree of intellectual curiosity • Proficiency in Python and Machine Learning libraries such as Tensorflow • Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented generation (RAG), and memory/context management • Hands-on experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI • Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) • Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency • Expertise in designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multi-agent systems • Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi-agent collaboration, and coordination at scale • Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems • Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments <h3>🏖️ Benefits</h3> • Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave and Retirement