Senior AIML Engineer

Looking for an opportunity to make an impact

At Leidos we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers success. We empower our teams contribute to our communities and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers our people and our community. Our Mission Vision and Values guide the way we do business.

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Leidos Defense Systems Advanced Sensors and Protective Technologies Portfolio is seeking a talented Senior AI/ML Engineer to integrate generative AI and agentic AI systems into existing software products. Working within a multidisciplinary team this role spans the evaluation and integration of large language models (LLMs) vision-language models (VLMs) and multimodal LLMs (mLLMs) as well as the design and governance of agentic AI solutions.

The Advanced Sensors and Protective Technologies portfolio develops and evaluates EO/IR sensor systems and protective capabilities that enhance threat detection survivability and mission effectiveness. This includes safeguarding missioncritical systems through advanced microelectronic hardware assurance to ensure components remain trusted and secure. We advance sensor system technologies and hardware assurance through realworld testing modeling and simulation and performance analysis to support the transition of emerging capabilities into operational systems.

If this sounds like the kind of environment where you can thrive keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems solutions and services covering land sea air space and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT large-scale intelligence systems command and control geospatial and data analytics cybersecurity logistics training and intelligence analysis and operations support. Our team is solving the worlds toughest security challenges for customers with cant fail missions. To explore and learn more click here!

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Primary 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: 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

Basic Qualifications.

• Must be able and willing to obtain and maintain a DoD Secret Clearance (U.S. Citizenship required)
• Bachelors 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

Preferred Qualifications.

• 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

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand 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.