Senior AI/ML Engineer — Agentic AI & LLM Architect

Leidos; Huntsville (AL); On-site; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Senior AI/ML Engineer in the Defense Systems portfolio to integrate LLMs, VLMs, and mLLMs into production software and design agentic AI solutions. You will lead fine-tuning, tool integrations, and multi-agent orchestration while ensuring secure, compliant deployments.

Responsibilities include building test harnesses, conducting adversarial testing, and delivering end-to-end CI/CD for agentic systems, working with cross-functional teams and stakeholders.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, ML, or related field with 8+ years of experience.
• 5+ years of AI/ML experience with hands-on production integration of LLMs/VLMs
• Proven track record managing agentic AI systems through a full lifecycle
• 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
• Familiarity with model documentation practices and AI governance in regulated environments

Responsibilities

• 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 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 adversarial testing for agentic systems
• Own end-to-end deployment and operations of agentic AI systems – CI/CD, monitoring, versioning and rollback
• 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

Skills

Python

PyTorch

TensorFlow

Hugging Face Transformers

LLMs

Agentic AI

CI/CD

AI governance

Education

Bachelor’s degree in Computer Science, Data Science, ML

Tools

MCP framework

Tool/function calling

RAG architectures

Job description

Leidos is seeking a Senior AI/ML Engineer in the Defense Systems portfolio to integrate LLMs, VLMs, and mLLMs into production software and design agentic AI solutions. You will lead fine-tuning, tool integrations, and multi-agent orchestration while ensuring secure, compliant deployments.

Responsibilities include building test harnesses, conducting adversarial testing, and delivering end-to-end CI/CD for agentic systems, working with cross-functional teams and stakeholders.