Artificial Intelligence (AI) Engineer
Role details
Job location
Tech stack
Job description
Auditing Equities Metadata Pipelines Operations Scalability Market Data Claude Code Test Automation Vector Database Ancient History Data Engineering Agile Methodology Data Preprocessing Systems Engineering Technical Leadership Performance Profiling Research And Development Internet Of Things (IoT) Rust (Programming Language) Computer Network Operations Git (Version Control System) Python (Programming Language) Retrieval Augmented Generation Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * Mission Focus: Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines. Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption. Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
- Technical Proficiency: Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems. Support security assessments and authority to operate (ATO) processes., Gitlab Jupyter PySpark Equities Operations Management Governance Kubernetes Market Data AWS Amplify AWS Bedrock Data Modeling Elasticsearch AWS SageMaker Version Control Ancient History Agile Methodology Docker (Software) Workflow Management Atlassian Confluence Cloud-Native Computing Artificial Intelligence Research And Development Internet Of Things (IoT) 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 Senior Artificial Intelligence (AI) Engineer (SWE-3) Leidos
Odenton, MD*On-Site
JIRA Gitlab Jupyter PySpark Equities Operations Management Governance Kubernetes Market Data AWS Amplify AWS Bedrock Data Modeling Elasticsearch AWS SageMaker Version Control Ancient History Agile Methodology Docker (Software) Workflow Management Atlassian Confluence Cloud-Native Computing Artificial Intelligence Research And Development Internet Of Things (IoT) 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), 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
Requirements
- Qualifications: Bachelor's degree plus five (5) years of relevant experience or equivalent. Proficiency in Python, LLM integration, and data engineering. Experience with static analyzers, RAG framework, and relational and vector databases. Familiarization with Agile, Git, Jira, and Confluence.
- Security Clearance: Active TS/SCI with Polygraph required.
- Desirable Skills: Familiarization with RUST, Claude Code, Codex, and CI/CD.
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 .