Senior Agentic AI Scientist

Job Description: • Create AI agents to plan, act, assess, and deliver measurable outcomes • Design, implement and deploy agentic workflows to automate and optimize labor-intensive workflows and empower the human workforce • Work as part of Leidos AI Accelerator on R&D and customer-facing goals to transition research into contract impact • Fine-tune and optimize generative models, potentially applying domain adaptation with supervised and unsupervised approaches • Develop using a combination of open source models, agentic tools, large proprietary commercial models, and small language models • Develop novel approaches to securing agentic workflows and evaluating results for accuracy, performance, and impact • Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles • Conduct research, develop prototypes, perform applied research, evaluate and document results, and potentially publish/present findings • Contribute to teams developing solutions for deployment into operational environments or integration into mission systems • Collaborate with multidisciplinary teams and present complex AI outputs to non-technical stakeholders Requirements: • Multiple openings from Mid to Senior levels with varying minimums: T3: Bachelor's degree in Computer Science, Engineering or related field and 4+ years of relevant experience, or a Masters degree with 2+ years of experience • T4: Bachelor's degree in Computer Science, Engineering or related field and 8+ years of relevant experience, or a Masters degree with 6+ years of experience • T5: Bachelor's degree in Computer Science, Engineering or related field and 12+ years of relevant experience, or a Masters degree with 10+ years of experience • T6: Master’s degree in Computer Science, Engineering or related field and 15+ years of relevant experience, or a Doctorate degree with 13+ years of experience • Practical experience with 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) • Strong communication skills with the ability to present complex AI outputs in an accessible manner to non-technical stakeholders • Experience working with end users to streamline workflows and produce applied solutions • Self-starter with a high degree of intellectual curiosity • Proficiency in Python and Machine Learning libraries such as Tensorflow • Ability to obtain a Secret clearance • Preferred: Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented generation (RAG), and memory/context management • Preferred: Hands-on experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI • Preferred: Experience deploying into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) • Preferred: Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency • Preferred: Expertise in designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multi-agent systems • Preferred: Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi-agent collaboration, and coordination at scale • Preferred: Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems • Preferred: Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments Benefits: • competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement • Competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement (more details available on company site) Apply tot his job