AI Engineer

• Mission Focus: Collaborate with mission stakeholders, analysts, data scientists, and engineers to understand operational challenges and translate requirements into effective AI/ML solutions. Design and develop capabilities for knowledge extraction, information discovery, summarization, decision support, workflow automation, and analysis of structured and unstructured data. Build solutions capable of processing large, complex, and potentially multilingual datasets while ensuring that AI-generated results are relevant, traceable, and useful to mission users., 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 Senior AI Engineer (SWE-3) Leidos

Linthicum Heights, MD*On-Site

JIRA Tooling Planning Auditing Equities Metadata Claude AI Pipelines Operations Purchasing Mitigation Upskilling Scalability Market Data Claude Code Cryptography Key Management Test Automation Vector Database Ancient History Machine Learning Data Engineering Agile Methodology Rapid Prototyping Analytical Method Data Preprocessing Systems Engineering Technology Research Time Off Management Security Engineering Software Engineering Technical Leadership Signals Intelligence Emerging Technologies Performance Profiling Prototype Development Artificial Intelligence Vulnerability Management Rust (Programming Language) Computer Network Operations Git (Version Control System) Python (Programming Language) Retrieval Augmented Generation Large Language Model Fine-Tuning Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

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Power BI Equities Statistics Mathematics Cleanliness Market Data Data Science Data Modeling Data Processing Ancient History Computer Science Machine Learning Cyber Operations Malware Analysis Data Intelligence Data Visualization Workflow Management Operations Research Advanced Mathematics Signals Intelligence Technical Requirements Artificial Intelligence Large Language Modeling C (Programming Language) C++ (Programming Language) Probability And Statistics Python (Programming Language) Tableau (Business Intelligence Software) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Senior AI Engineer Leidos

Ft Meade, MD*On-Site

Equities Metadata Chunking Operations Management Purchasing Upskilling Agentic AI Scalability Market Data Coordinating Benchmarking Cryptography

Metadata Chunking Operations Management Purchasing Upskilling Agentic AI Scalability Market Data Coordinating Benchmarking Cryptography Tokenization Deep Learning Task Planning Data Ingestion Key Management Data Pipelines Hallucinations Data Validation Ancient History Computer Science Machine Learning Business Metrics Rapid Prototyping Unstructured Data Analytical Method Performance Metric Feature Extraction Prompt Engineering Workflow Management Workflow Automation Technology Research Multi-Agent Systems Time Off Management Security Engineering Signals Intelligence Information Discovery Prototype Development Packaging And Labeling Artificial Intelligence Large Language Modeling Knowledge-Based Systems Artificial Neural Networks Computer Network Operations Hyperparameter Optimization Python (Programming Language), Seeking motivated Senior AI Engineers to support high-impact mission opportunities applying Artificial Intelligence and Machine Learning to complex data and analytic challenges. Engineers will work with mission stakeholders to translate operational needs into secure, scalable AI capabilities spanning machine learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and advanced knowledge systems. The ideal candidate combines strong AI/ML fundamentals with hands-on engineering experience and understands how to evaluate, deploy, secure, and sustain AI capabilities throughout their lifecycle., * Technical Proficiency: Design, develop, integrate, test, and optimize AI/ML applications using Python and modern AI frameworks. Apply supervised, unsupervised, semi-supervised, and deep learning techniques, including classification, clustering, recommendation approaches, neural networks, and transformer architectures. Develop LLM applications using prompt engineering, embeddings, context management, chunking, and retrieval techniques. Design RAG architectures incorporating document ingestion, vector search, metadata, reranking, and hybrid semantic/keyword retrieval. Develop agentic AI workflows capable of task planning, tool use, multi-step execution, workflow automation, and multi-agent coordination. Build data pipelines supporting preprocessing, feature extraction, data validation, deduplication, labeling, and augmentation. Optimize models through model selection, fine-tuning, hyperparameter tuning, benchmarking, and latency-versus-accuracy analysis.

• Qualifications: Bachelor’s degree in computer science, plus 8-years of relevant experience or equivalent. Strong proficiency with Python and demonstrated experience designing or developing AI/ML solutions. Understanding of the complete AI lifecycle from data ingestion and model development through deployment, monitoring, and sustainment.
• Security Clearance: Active TS/SCI with Polygraph required to be considered for this role.
• Desirable Skills: Knowledge of customer corporate tools, data repositories, and secure mission computing environments is highly desirable. Experience with Large Language Models and Generative AI, including tokenization, embeddings, attention concepts, prompt engineering, context management, and LLM interfaces. Experience developing or integrating RAG, vector search, or knowledge retrieval systems. Understanding of machine learning and statistical fundamentals, model training and validation, performance metrics, bias/variance considerations, and experimentation. Experience evaluating AI systems for accuracy, relevance, groundedness, hallucination, robustness, and scalability., Deep Learning Task Planning Data Ingestion Key Management Data Pipelines Hallucinations Data Validation Ancient History Computer Science Machine Learning Business Metrics Rapid Prototyping Unstructured Data Analytical Method Performance Metric Feature Extraction Prompt Engineering Workflow Management Workflow Automation Technology Research Multi-Agent Systems Time Off Management Security Engineering Signals Intelligence Information Discovery Prototype Development Packaging And Labeling Artificial Intelligence Large Language Modeling Knowledge-Based Systems Artificial Neural Networks Computer Network Operations Hyperparameter Optimization Python (Programming Language)

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 .

Leidos has new and exciting opportunities for a Senior AI Engineers in our Intel Sector. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!, 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 .