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# Senior AI/ML Engineer

- **Company:** Leidos, Inc.
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Release Management, Tensorflow, Management of Software Versions, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Containerization, Information Technology, HuggingFace, Machine Learning Operations, GPT
- **Published:** September 16, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88342077/1

## About the Role

* Must be able and willing to obtain and maintain a DoD Secret Clearance (U.S. Citizenship required)
 * Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field and 8+ years of experience.
 * 5+ years of relevant experience working with AI/ML, including hands-on production integration of LLMs/VLMs
 * Proven track record managing agentic AI systems through a full lifecycle
 * Strong experience with agentic frameworks and patterns (MCP, tool/function calling, etc.)
 * Familiarity with model documentation practices (model cards, versioned model registries) and AI governance requirements in regulated environments
 * Proficiency with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers)
 * Experience with prompt engineering and evaluation methodologies for generative AI
 * Understanding of deployment practices (containerization, APIs, CI/CD, versioning for ML/agentic systems)
 * Ability to lead the development of technical solutions for AI/ML or agentic systems and mentor other team members
 * Strong written and verbal communication skills, * Active DoD SECRET clearance or above.
 * Experience applying mLLMs and VLMs
 * Experience with MLOps/AgentOps tooling (MLflow, etc.)
 * Familiarity with vector databases and RAG architectures
 * Experience fine-tuning transformer-based models
 * Experience with cloud/government cloud environments (AWS, Azure, GovCloud, IL levels)
 * Experience presenting technical strategies to leadership or customers

## Description

* Lead the integration of LLMs, VLMs, and mLLMs into existing software products and platforms
 * Design and execute fine-tuning strategies for pretrained models (LoRA, QLoRA, RLHF/DPO)
 * Architect agentic AI solutions: agent/skill design, MCP tool/server integrations, and multi-agent orchestration workflows
 * Set organizational standards for prompt engineering to optimize agent reasoning and output quality
 * Lead the development of test harnesses, evaluation suites, and red-teaming/adversarial testing for agentic systems prior to production release
 * Own end-to-end deployment and operations of agentic AI systems - CI/CD, monitoring, versioning and rollback, and lifecycle management
 * Collaborate with software engineers, product owners, security, and data teams to align capabilities with product and compliance requirements
 * Present architectures and lifecycle strategies to technical leadership and stakeholders


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