Generative Artificial Intelligence
Role details
Job location
Tech stack
Job description
Equities PineCone LangChain Langgraph TensorFlow Market Data Data Science Apache Maven Vector Database Ancient History Computer Science Machine Learning Network Analysis Amazon Web Services Information Sciences LLaMA (Language Model) API System Integration Artificial Intelligence Go (Programming Language) Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence PyTorch (Machine Learning Library) Counter Intelligence Polygraph (CI Clearance) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), Leidos Cyber & Information Sciences Division of the Cyber & Analytics Business Area is seeking an AI & Analytic Systems SME to serve as a Technical Closer for our COSS 3.0 program. You will architect the frameworks that achieve analytic superiority and actively perform the engineering required to push AI capabilities into production. You are expected to mentor senior technologists by example-working "fingers-on-keyboard" to solve the command's most complex technical roadblocks., 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. Related Jobs Data Scientist SME AI/ML Leidos Ft Meade, MDOn-Site CrewAI Equities PineCone LangChain Langgraph TensorFlow Market Data Data Science Apache Maven Vector Database Ancient History Computer Science Machine Learning Network Analysis Amazon Web Services Information Sciences LLaMA (Language Model) API System Integration Artificial Intelligence Go (Programming Language) Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence PyTorch (Machine Learning Library) Counter Intelligence Polygraph (CI Clearance) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Journeyman Data Scientist Leidos Gaithersburg, MDOn-Site Power BI Equities Dashboard DevSecOps Leadership Management Statistics TensorFlow Mathematics Scalability Market Data Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Responsible AI Microsoft Azure Problem Solving Data Governance Sprint Planning Data Encryption Ancient History Computer Science Machine Learning Data Engineering Product Planning Agile Methodology Performance Metric Data Visualization Data Preprocessing Amazon Web Services Predictive Modeling Feature Engineering Software Development Statistical Analysis Statistical Modeling Top Secret Clearance Programming Languages Descriptive Analytics Artificial Intelligence Pandas (Python Package) Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Generative Artificial Intelligence PyTorch (Machine Learning Library) Application Programming Interface (API) Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0
Salesforce Developer Journeyman Data Scientist Leidos Gaithersburg, MD*On-Site Power BI Equities Dashboard DevSecOps Leadership Management Statistics TensorFlow Mathematics Scalability Market Data Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Responsible AI Microsoft Azure Problem Solving Data Governance Sprint Planning Data Encryption Ancient History Computer Science Machine Learning Data Engineering Product Planning Agile Methodology Performance Metric Data Visualization Data Preprocessing Amazon Web Services Predictive Modeling Feature Engineering Software Development Statistical Analysis Statistical Modeling Programming Languages Descriptive Analytics Artificial Intelligence Pandas (Python Package) Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Machine Learning Frameworks Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process Generative Artificial Intelligence PyTorch (Machine Learning Library) Application Programming Interface (API) Tableau (Business Intelligence Software) +0
Requirements
- Agentic AI Frameworks: Expertise in deploying LangGraph, CrewAI, or AutoGPT to scale network defense at "wire speed."
- Model Engineering: Hands-on fine-tuning of open-source models (Llama 3, Mistral) in air-gapped enclaves using PyTorch or TensorFlow.
- Technical Closing: Direct engineering of Retrieval-Augmented Generation (RAG) stacks using LangChain and vector databases (Milvus or Pinecone).
- Mission Orchestration: Proficiency in unified mission systems (e.g., Kudu Dynamic, TACMS, Maven Support Systems) with custom API integration skills.
- Scripting: Mastery of Python, Go, and Bash.
Preferred Certifications & Experience
- Google Professional ML Engineer, AWS Machine Learning Specialty, or NVIDIA Generative AI/LLM Associate.
- Military Equivalency: CMF Work Role Certification (Exploitation/Network Analyst) or experience as a 170A/17A.
Years of Experience
- Total Experience: 12-15+ years in technical roles.
- AI/ML Focus: 5+ years specifically in Machine Learning Engineering or Data Science. The "Technical Closer" label implies you aren't just managing the project; you are the person who steps in to fix the code when the senior engineers get stuck.
- Domain Expertise: 3-5 years working within the IC/DoD (Intelligence Community/Dept. of Defense) ecosystem, specifically with systems like Maven or TACMS.
Educational Background
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Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.
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The requirement to fine-tune models (Llama 3, Mistral) using PyTorch/TensorFlow in air-gapped enclaves requires a deep understanding of hardware constraints and model weights that usually comes from advanced academic or special.
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Experience Substitution: A Bachelor's degree with an additional 5+ years (totaling 15-20) of high-level engineering experience can often substitute for a Master's, especially if backed by the "Military Equivalency" noted in the description.
Clearance Requirement
- TS/SCI with CI Poly required.
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.
Benefits & conditions
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 at www.leidos.com/careers/pay-benefits .