Artificial Intelligence (AI) Engineer

Teamwork Research Equities DevSecOps Innovation Algorithms Statistics Agentic AI Mathematics Market Data Data Science Observability Cyber Security Microsoft Azure Social Sciences Active Learning Ancient History Computer Science Machine Learning Data Engineering Advanced Analytics Operationalization Hardware Platforms Intelligence Agency Statistical Analysis Top Secret Clearance Predictive Analytics Explainable AI (XAI) Supply Chain Analysis Intelligence Analysis Artificial Intelligence Social Network Analysis Creative Problem Solving Product Family Engineering Python (Programming Language) Field-Programmable Gate Array (FPGA) Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * Support the development and operationalization of AI and agentic AI systems in production mission environments.

• Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
• Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
• Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
• Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA)., Gitlab Jupyter PySpark Equities Operations Management Governance Purchasing Kubernetes Upskilling Market Data AWS Amplify AWS Bedrock Cryptography Data Modeling Elasticsearch AWS SageMaker Key Management Version Control Ancient History Agile Methodology Docker (Software) Rapid Prototyping Analytical Method Workflow Management Technology Research Time Off Management Security Engineering Software Engineering Atlassian Confluence Signals Intelligence Prototype Development Cloud-Native Computing Artificial Intelligence Java (Programming Language) Computer Network Operations Git (Version Control System) Scrum (Software Development) Hugging Face (NLP Framework) React.js (Javascript Library) Python (Programming Language) Front End (Software Engineering) Object-Oriented Programming (OOP) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Automation with Python Senior Artificial Intelligence (AI) Engineer (SWE-3) Leidos Ft Meade, MD*On-Site JIRA Gitlab Jupyter PySpark Equities Operations Management Governance Purchasing Kubernetes Upskilling Market Data AWS Amplify AWS Bedrock Cryptography Data Modeling Elasticsearch AWS SageMaker Key Management Version Control Ancient History Agile Methodology Docker (Software) Rapid Prototyping Analytical Method Workflow Management Technology Research Time Off Management Security Engineering Software Engineering Atlassian Confluence Signals Intelligence Prototype Development Cloud-Native Computing Artificial Intelligence Java (Programming Language) Computer Network Operations Git (Version Control System) Scrum (Software Development) Hugging Face (NLP Framework) React.js (Javascript Library) Python (Programming Language) Front End (Software Engineering) Object-Oriented Programming (OOP) Amazon Elastic Kubernetes Service Application Programming Interface (API) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Automation with Python Senior AI Integration Engineer Leidos Alexandria, VA*On-Site CrewAI Planning Auditing Equities PineCone Weaviate Telemetry Analytics DevSecOps LangChain AI Agents Semantics Langgraph Management Kubernetes Mitigation TensorFlow Agentic AI Scalability Market Data Nvidia CUDA Coordinating Azure OpenAI Data Storage Promulgation Data Analysis Microservices Observability Cyber Security CompTIA Cloud+ Data Pipelines Decision Making AI/ML Inference Vector Database Ancient History Computer Science Machine Learning Model Validation Product Planning Security Controls Docker (Software) Technical Standard Prompt Engineering Workflow Management Systems Engineering Information Systems User Interface (UI) GIAC Certifications Multi-Agent Systems User Experience (UX) Top Secret Clearance Systems Architecture Cloud-Native Computing API System Integration Artificial Intelligence Large Language Modeling Cyber Security Policies Named Entity Recognition Product Family Engineering Site Reliability Engineering Continuous Improvement Process Retrieval Augmented Generation Enterprise System Architecture Enterprise Application Software Machine Learning Model Training Microsoft Certified Professional Natural Language Processing (NLP) Generative Artificial Intelligence PyTorch (Machine Learning Library) National Incident Management Systems Application Programming Interface (API) Systems Security Certified Practitioner GIAC Security Essentials Certification (GSEC) GIAC Global Industrial Cyber Security Professional Top Secret-Sensitive Compartmented Information (TS/SCI Clearance)

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path., * Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/ Relevant experience may be substituted for a degree.

• 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master’s).
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
• Track record of creative problem solving, active learning, and mission-focused outcomes.
• Experience with the following:
• AI/ML production engineering
• LLMOps / MLOps
• RAG architectures
• AI orchestration frameworks
• Kubernetes-based AI deployments
• Open AI-compatible APIs
• Python development
• GPU inference optimization, * Experience supporting military or intelligence community customers.
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
• Familiarity with the following technologies
• LangGraph
• Semantic Kernel
• vLLM
• Ollama
• Ray
• NVIDIA GPU ecosystems
• Vector databases

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 .

Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level., 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., 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 $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .