Senior Principal Data Scientist / AI-ML SME (Analytic Superiority)

Leidos LLC; Geraghty Village (MD); On-site; USD 154,000 - 278,000; Full time

Job summary

Leidos is seeking an AI/ML Subject Matter Expert to serve as Technical Closer for the COSS 3.0 program at Fort Meade, MD. You will architect cross‑platform AI frameworks and deploy workloads across AWS SageMaker, Vertex AI, Azure Government, and bare‑metal enclaves.

You will mentor senior technologists, push production‑grade AI into multi‑cloud and air‑gapped mission enclaves, and support both defensive and offensive cyber operations with advanced tooling.

Qualifications

• Total technical experience of 15+ years in software engineering, data science, or distributed systems.
• 5+ years focused on ML engineering, deep learning, or LLM optimization.
• 3–5 years in the DoD/IC cyber ecosystem with tools that map vulnerabilities or accelerate targeting cycles.

Responsibilities

• Architect and deploy cross‑platform AI/ML pipelines across cloud and on‑prem environments.
• Mentor senior technologists and drive production‑grade AI into mission enclaves.
• Integrate AI tools with cyber security platforms to enable defensive and offensive operations.

Skills

ML Engineering

DL/LLM

Cloud Platforms

Security Enclaves

Python/Go/Rust

Ray distributed

MLOps

C/C++

Education

Master’s Degree or PhD in Data Science/AI/CS

Tools

LangGraph

CrewAI

AutoGPT

PyTorch

TensorFlow

NVIDIA TensorRT

Triton

Milvus/Qdrant/Pinecone

Apache Kafka/Spark

LangChain

Cortex/XSOAR

Job description

Mission Overview

The Leidos Intel Sector is looking for a premier AI/ML Subject Matter Expert (SME) to serve as a Technical Closer for our COSS 3.0 program supporting USCYBERCOM and the Cyber National Mission Force (CNMF) at Fort Meade, MD. In this elite role, you will architect and engineer the cross-platform AI frameworks required to achieve absolute analytic superiority. You will compress both defensive cyber operations (identifying network vulnerabilities and gaps) and offensive operations (vulnerability discovery and automated targeting) from days down to minutes. As a Technical Closer, you will mentor senior technologists by example—working “fingers‑on‑keyboard” to solve the command's most complex technical roadblocks and pushing production‑grade AI directly into multi‑cloud, hybrid, and air‑gapped mission enclaves.

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

Core Technical Requirements

• Platform-Agnostic Infrastructure & MLOps: Architect, deploy, and scale distributed AI workloads across any environment required, including AWS SageMaker, Google Vertex AI, Azure Government, and bare‑metal, air‑gapped server racks.
• Agentic AI & Cyber Automation: Deploy and optimize tools like LangGraph, CrewAI, or AutoGPT to automate cyber threat identification and offensive target generation at wire speed.
• Low‑Level Model Engineering & Optimization: Fine‑tune open‑source large language models (e.g., Llama 3, Mistral) inside secure enclaves using PyTorch or TensorFlow. Utilize NVIDIA TensorRT, Triton Inference Server, vLLM, and quantization libraries (bitsandbytes) to compress models for high‑throughput execution under strict hardware constraints.
• Advanced RAG Architectures: Direct the engineering of enterprise Retrieval‑Augmented Generation (RAG) stacks using LangChain paired with high‑performance vector databases like Milvus, Qdrant, or Pinecone.
• Autonomous Cyber Integration: Connect intelligent agents directly into security orchestration platforms (e.g., Palo Alto Cortex XSIAM/XSOAR) to trigger automated network defense actions and ingest massive, real‑time PCAP and telemetry streams via Apache Kafka/Spark.
• Polyglot Engineering: Demonstrate engineering mastery in Python, Go, Rust, and C/C++ to build ultra‑fast cyber tools, write optimized GPU kernels, and interface with distributed frameworks like Ray.

Mission & Domain Expertise Dual‑Spectrum Operations

• Proven capability to support both Defensive Cyber Operations (DCO) (log parsing, behavioral threat hunting, anomaly detection) and Offensive Cyber Operations (OCO) (automated vulnerability discovery, exploit generation, payload optimization).
• Mission Platform Orchestration: Experience integrating custom AI/ML pipelines into unified mission systems and high‑value data streams found across Project Maven, Palantir Foundry, and tactical command frameworks.

Required Experience & Background

• Total Technical Experience: 15+ years of hands‑on experience in software engineering, data science, or distributed systems.
• Core AI/ML Focus: 5+ years of specialized experience in Machine Learning Engineering, deep learning, or LLM optimization.
• DoD/IC Ecosystem: 3–5 years working within the DoD/IC cyber ecosystem, specifically building tools that map vulnerabilities or accelerate targeting cycles.
• Clearance: Active TS/SCI with Polygraph.
• Work Location: On‑site at Fort Meade, MD (SCIF environment).
• Preferred Certifications & Military Equivalency Industry Certifications: Google Cloud Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, or NVIDIA Generative AI/LLM Associate.
• Cyber Mission Force (CMF) Equivalency: Prior certification as a CMF Exploitation Analyst (EA), Digital Network Analyst (DNA), or specialized technical experience as an Army 17A/170A, Navy 181X, or Air Force 17D/17S.

Educational Background

• Primary Requirement: Master’s Degree or PhD in Data Science, Artificial Intelligence, Computer Science, Mathematics, or a related quantitative field. Additional years of experience may be considered in lieu of degree.

Pay Range

Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and 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.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

Leidos will never ask you to provide payment‑related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment‑related information or any other personal information, please report the email to [e-mail].

Commitment and Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Original Posting

July 16, 2026

For U.S. Positions

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $17.2 billion for the fiscal year ended January2, 2026. For more information, visit www.Leidos.com.