Senior AI Engineer

CACI International•Washington, DC

3d•$114,600 - $252,100

About The Position

CACI is seeking an accomplished Senior AI Engineer to support the Department of Homeland Security (DHS) Office of the Inspector General (OIG). This role offers a unique opportunity to architect and develop cutting-edge artificial intelligence solutions that directly strengthen national security oversight through investigative, audit, and inspection operations. As a Senior AI Engineer, you will design, develop, and deploy AI-powered applications and capabilities that transform how federal oversight professionals analyze complex datasets. You will lead the technical implementation of OIGChat—a large language model-based assistant—build AI pipelines that consume governed enterprise data, and develop mission-specific applications for investigative analytics, eDiscovery, and pattern detection. From designing model routing architectures to implementing guardrails and validation frameworks, you will ensure AI solutions are secure, explainable, and mission-effective. Working within Azure Government and Commercial environments, you will shape the technical foundation of AI capabilities on a transformational program of national importance. Join us to make a meaningful impact by bringing next-generation AI to federal oversight missions.

Requirements

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, with deep expertise in large language models (LLMs), generative AI, and prompt engineering
Proven experience with Azure OpenAI, Azure AI services, or equivalent enterprise AI platforms (AWS Bedrock, Google Vertex AI) in production environments
Strong programming skills in Python with experience in AI/ML frameworks (LangChain, Semantic Kernel, Hugging Face, TensorFlow, PyTorch, scikit-learn)
Demonstrated ability to design and implement secure, governed AI solutions including guardrails, validation frameworks, monitoring, and integration with enterprise data platforms

Nice To Haves

Experience developing AI solutions for federal government, law enforcement, investigative, or national security applications with understanding of sensitive data handling requirements
Hands-on experience with RAG (Retrieval-Augmented Generation) architectures, vector databases, semantic search, and knowledge graph integration
Background in natural language processing (NLP), text analytics, entity extraction, sentiment analysis, or investigative analytics use cases

Responsibilities

Design, develop, and implement enhancements to OIG Chat and pilot AI applications, including model routing architectures, API patterns, prompt handling logic, and integration with Azure Open AI, Azure AI Foundry, and approved AI services
Implement comprehensive AI guardrails, safety controls, logging mechanisms, and model access patterns to prevent data leakage, unauthorized use, and ensure outputs meet quality and security standards
Design and build AI/ML model pipelines that consume governed datasets from the enterprise data platform, ensuring data lineage, quality, and compliance with data governance policies
Develop AI-assisted analysis capabilities for investigative hotline data, case records, and federal datasets to support trend identification, anomaly detection, link analysis, and pattern recognition
Implement machine learning features including model versioning, monitoring, performance tracking, and automated validation to support production AI operations
Support development and deployment of pilot AI applications for eDiscovery, translation, transcription, and specialized investigative analytics use cases
Conduct iterative prototyping and testing against limited datasets to validate AI approaches prior to enterprise implementation, including output validation frameworks
Develop secure coding practices for AI applications, including input validation, error handling, sensitive data protection, and integration with security controls
Provide technical expertise for prompting guidance, AI-enabled workflows, use case demonstrations, troubleshooting guides, and training content to support user adoption
Collaborate with Government stakeholders, data engineers, platform teams, and security specialists to integrate AI capabilities within Agile delivery framework