Note: The job is a remote job and is open to candidates in USA. CACI International Inc. is seeking an AI Engineering Lead to support the Department of Homeland Security Office of the Inspector General. The role provides technical leadership for enterprise AI transformation, including architecture, model governance, responsible AI, secure cloud implementation, and delivery of mission-specific AI applications from prototype through production.
Responsibilities
- Provide technical leadership and architectural direction for all AI capabilities, including OIGChat, pilot applications, and enterprise AI platform services across Azure Government and Commercial environments
- Oversee secure, governed access to Government-approved AI models (Azure OpenAI, Azure AI Foundry, commercial LLM providers), including model selection, routing architecture, API management, and integration patterns
- Lead design, development, and architecture of mission-specific AI applications for investigative analytics, hotline analysis, eDiscovery, and oversight use cases from concept through production
- Establish and enforce model governance, cost management, and responsible AI frameworks, including usage monitoring, token consumption tracking, dashboards, thresholds, alerts, and guardrails to prevent unauthorized use, excessive cost, and data leakage
- Define and implement AI/ML architecture patterns that ensure all model access consumes governed, authoritative datasets from the enterprise data platform in compliance with data governance, classification, and quality policies
- Lead solution architecture and prototyping efforts, providing expert guidance on complex AI problem sets, technical feasibility assessments, and level-of-effort estimates
- Coordinate AI workload requirements and scalability planning across infrastructure, data, and application layers to support current and future AI use cases
- Lead and coordinate AI engineering and data science resources, including surge support for specialized technical analysis, model development, validation, and production deployment
- Support model auditing, explainability, bias detection, and compliance with federal AI requirements and DHS OIG data governance policies
- Collaborate with Government leadership, platform engineers, security specialists, and product teams to align AI capabilities with mission priorities, Agile delivery processes, and enterprise architecture standards
Skills
- 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)
- Proven technical leadership experience architecting and delivering enterprise-scale AI/ML solutions, with demonstrated ability to lead engineering teams and coordinate cross-functional efforts
- Deep expertise in large language models (LLMs), generative AI, Azure OpenAI/Azure AI services, and enterprise AI platforms with understanding of model governance, responsible AI, and production ML operations
- Extensive experience designing AI architectures, including RAG (Retrieval-Augmented Generation), model routing, API patterns, guardrails, monitoring, cost optimization, and integration with enterprise data platforms
- Strong background in AI/ML frameworks (LangChain, Semantic Kernel, TensorFlow, PyTorch), Python development, and cloud-native AI services with ability to provide hands-on technical guidance
- Experience leading AI initiatives in federal government, law enforcement, investigative, or national security environments with understanding of sensitive data handling, ATO processes, and compliance requirements
- Hands-on experience with MLOps, model lifecycle management, AI governance frameworks, and production AI monitoring and observability tools
- Background in investigative analytics, fraud detection, text analytics, NLP, or mission-driven AI applications supporting oversight, audit, or law enforcement functions
Benefits
- A unique flexible time off benefit
- Robust learning resources
- Healthcare benefits
- Wellness benefits
- Financial benefits
- Retirement benefits
- Family support benefits
- Continuing education benefits
- Time off benefits
- Learning and development opportunities
Company Overview
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