Senior AI Engineer

CACI International Inc

. Design, develop, and implement enhancements to OIG Chat and pilot AI applications .

Posted 9/23/2026full-timeUnited StatesSenior💰 $114,600 - $252,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in developing AI/ML applications, particularly with large language models and generative AI, while ensuring compliance with data governance policies and secure coding practices. Proficient in collaborating with cross-functional teams to design and implement AI solutions for federal government and investigative applications.

Highest-signal resume keywords

AI/ML Application DevelopmentLarge Language Models (LLMs)Azure OpenAIPython ProgrammingData Governance Compliance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI/ML Application DevelopmentPrompt EngineeringSecure Coding PracticesModel VersioningAnomaly DetectionNLPText AnalyticsEntity ExtractionSentiment AnalysisInvestigative Analytics

Tools & Technologies

Azure AI FoundryLangChainSemantic KernelHugging FaceTensorFlowPyTorchScikit-learn

Industry Keywords

Federal Government ApplicationsLaw EnforcementNational SecuritySensitive Data HandlingRAG ArchitecturesVector DatabasesSemantic SearchKnowledge Graph Integration

Tech Stack

Tools & technologies

AzurePythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design, develop, and implement enhancements to OIG Chat and pilot AI applications
Develop model routing architectures, API patterns, prompt handling logic, and integrations with Azure OpenAI, Azure AI Foundry, and approved AI services
Implement AI guardrails, safety controls, logging mechanisms, and model access patterns
Design and build AI/ML pipelines consuming governed enterprise datasets
Ensure data lineage, quality, and compliance with data governance policies
Develop AI-assisted analysis for investigative hotline data, case records, and federal datasets
Support trend identification, anomaly detection, link analysis, and pattern recognition
Implement model versioning, monitoring, performance tracking, and automated validation
Support pilot applications for eDiscovery, translation, transcription, and investigative analytics
Conduct iterative prototyping and testing against limited datasets
Develop secure coding practices for AI applications
Provide prompting guidance, AI-enabled workflows, demonstrations, troubleshooting guides, and training content
Collaborate with Government stakeholders, data engineers, platform teams, and security specialists within an Agile delivery framework

Requirements

What you’ll need

Bachelor's degree + 15 years of experience in artificial intelligence, machine learning, software engineering, or related field; equivalencies considered (Master's + 12 years; 21 years with no degree; AA + 17 years)
Extensive hands-on experience developing AI/ML applications
Deep expertise in large language models (LLMs), generative AI, and prompt engineering
Experience with Azure OpenAI, Azure AI services, or equivalent enterprise AI platforms in production environments
Strong programming skills in Python
Experience with LangChain, Semantic Kernel, Hugging Face, TensorFlow, PyTorch, and scikit-learn
Ability to design and implement secure, governed AI solutions including guardrails, validation frameworks, monitoring, and integration with enterprise data platforms
Experience developing AI solutions for federal government, law enforcement, investigative, or national security applications
Understanding of sensitive data handling requirements
Experience with RAG architectures, vector databases, semantic search, and knowledge graph integration
Background in NLP, text analytics, entity extraction, sentiment analysis, or investigative analytics use cases

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities