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CACI

Provides government contracting technology and services

AI Engineering Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeWashington, DC, USA$103.8k - $218.1kHybrid

About the Job

Requirements

  • Must be able to obtain and maintain a public trust to begin employment.
  • A Bachelor's degree and 15 years of experience in artificial intelligence, machine learning, software engineering, or a related field; equivalencies considered include a Master's degree and 12 years, 21 years with no degree, or an associate degree and 17 years.
  • Demonstrated experience designing, building, and supporting production software that integrates AI models with enterprise applications, data, and APIs.
  • Experience developing AI or agent-based applications with LangChain, Microsoft Agent Framework, or comparable frameworks, and ability to explain framework design choices and tradeoffs.
  • Strong software engineering background in Python, APIs, microservices, automated testing, version control, and continuous integration and continuous delivery (CI/CD).
  • Experience with generative AI patterns such as retrieval-augmented generation (RAG), prompt and context design, tool calling, agent workflows, and model or application evaluation.
  • Experience deploying or operating AI-enabled applications in a cloud environment, preferably Microsoft Azure and Azure OpenAI or Azure AI services.
  • Experience establishing or applying security controls for AI applications, including identity and access management, authorization-aware data retrieval, privacy protections, and secure handling of sensitive information.
  • Experience leading multidisciplinary teams, setting priorities, reviewing technical work, coaching staff, and coordinating delivery with product, cybersecurity, data, and operations stakeholders.

Responsibilities

  • Lead, mentor, and coordinate a multidisciplinary team that may include AI and software engineers, data engineers, product or business analysts, user experience specialists, and DevSecOps staff.
  • Provide technical direction for AI applications and agentic solutions, including architecture, design patterns, framework selection, integration, testing, deployment, and ongoing operations.
  • Guide development using industry-standard agentic frameworks.
  • Lead implementation of retrieval-augmented generation (RAG), tool and API integrations, agent workflows, and other capabilities that connect AI models to authorized enterprise data and business processes.
  • Translate mission objectives and user needs into technical approaches, product backlogs, user stories, acceptance criteria, and a sequenced delivery roadmap.
  • Establish engineering standards for Python and API development, reusable components, code review, automated testing, CI/CD, documentation, and secure software delivery.
  • Direct evaluation of AI system quality, including accuracy, relevance, grounding, safety, and performance; use test data and user feedback to guide improvements.
  • Establish monitoring and observability for application health, model behavior, latency, usage, and cost; lead troubleshooting and continuous improvement.
  • Coordinate with cybersecurity, data governance, infrastructure, cloud, product, and mission stakeholders to address access controls, privacy, security, and operational requirements.
  • Manage team priorities, staffing and skill alignment, delivery dependencies, risks, and progress reporting; communicate decisions and issues to technical and nontechnical stakeholders.
  • Promote responsible AI practices, including appropriate human review, traceable outputs, data protection, and clear handling of uncertainty and failure conditions.
  • Contribute to the development of AI safety and alignment policies and procedures to ensure ethical, controllable, and aligned artificial intelligence systems and agents.

Desired Qualifications

  • Experience leading AI initiatives in federal government, law enforcement, investigative, or national security environments, with understanding of sensitive data handling, Authority to Operate (ATO) processes, and compliance requirements.
  • Hands-on experience with MLOps, model lifecycle management, AI governance frameworks, and production AI monitoring and observability tools.
  • Familiarity with AI safety frameworks such as the NIST AI Safety Framework to support implementation of alignment controls in artificial intelligence large language models (LLMs) and agents.
  • Ability to communicate technical concepts, risks, options, and recommendations clearly to engineering teams and executive or mission stakeholders.

About the Company

CACI

Provides government contracting technology and services

CACI International Inc. provides technology and professional services to U.S. government clients, focusing on national security and modernization. It earns most of its revenue through long-term government contracts that fund engineering, intelligence, logistics, cybersecurity, data analytics, and IT solutions for defense, intelligence, and federal civilian agencies. Its products and services work by delivering specialized technical expertise, secure systems, and mission-support capabilities that help agencies run operations more efficiently and securely. CACI differentiates itself through its deep domain knowledge in national security, a proven track record of delivering high-quality, reliable solutions, and a skilled workforce that can execute complex, long-duration contracts. The company’s goal is to be a trusted partner for government modernization needs by providing advanced technology solutions and mission support that enhance national security and operational effectiveness.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1962

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