AI Engineering Lead

CACI International Inc

. Provide technical leadership and architectural direction for AI capabilities including OIGChat, pilot applications, and enterprise AI platform services .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI architecture and engineering, with a focus on large language models, generative AI, and enterprise AI platforms. Proven ability to lead cross-functional teams and implement governance frameworks for responsible AI in compliance with federal standards.

Highest-signal resume keywords

Technical LeadershipAI/ML Architecture DesignLarge Language Models (LLMs)Azure AI ServicesModel Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Artificial IntelligenceMachine LearningSoftware EngineeringModel Lifecycle ManagementMLOpsInvestigative AnalyticsText AnalyticsNatural Language Processing (NLP)PythonTensorFlow

Soft Skills

CollaborationLeadershipCommunication

Tools & Technologies

Azure OpenAILangChainSemantic KernelPyTorchCloud-Native AI Services

Industry Keywords

Federal GovernmentLaw EnforcementCompliance RequirementsSensitive Data HandlingAI Governance Frameworks

Tech Stack

Tools & technologies

AzureCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Provide technical leadership and architectural direction for AI capabilities including OIGChat, pilot applications, and enterprise AI platform services
Oversee secure, governed access to government-approved AI models across Azure Government and Commercial environments
Lead design, development, and architecture of 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
Implement usage monitoring, token tracking, dashboards, thresholds, alerts, and guardrails
Define AI/ML architecture patterns using governed, authoritative enterprise datasets
Lead solution architecture and prototyping, technical feasibility assessments, and level-of-effort estimates
Coordinate AI workload requirements and scalability planning across infrastructure, data, and application layers
Lead AI engineering and data science resources, including 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 on mission priorities, Agile delivery, and enterprise architecture standards

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)
Proven technical leadership experience architecting and delivering enterprise-scale AI/ML solutions
Experience leading engineering teams and coordinating cross-functional efforts
Deep expertise in large language models (LLMs), generative AI, Azure OpenAI, Azure AI services, and enterprise AI platforms
Understanding of model governance, responsible AI, and production ML operations
Extensive experience designing AI architectures, including RAG, model routing, API patterns, guardrails, monitoring, cost optimization, and enterprise data platform integration
Strong background in LangChain, Semantic Kernel, TensorFlow, PyTorch, Python, and cloud-native AI services
Desired: Experience leading AI initiatives in federal government, law enforcement, investigative, or national security environments
Desired: Experience with sensitive data handling, ATO processes, and compliance requirements
Desired: Hands-on experience with MLOps, model lifecycle management, AI governance frameworks, and production AI monitoring and observability tools
Desired: Background in investigative analytics, fraud detection, text analytics, NLP, or mission-driven AI applications supporting oversight, audit, or law enforcement functions

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