AI Engineer
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 16, 2026. CACI International scores D on the Alion truth index.
The Opportunity:
We are seeking an AI Engineer to design, develop, test, and support AI-enabled applications and agent-based solutions to support the United States Secret Service (USSS) contract supporting the Department of Homeland Security. The engineer will work across the software development lifecycle, translating mission and user needs into secure, reliable capabilities that integrate AI models with enterprise data, applications, and workflows. The work may use frameworks such as LangChain and Microsoft Agent Framework, along with cloud-based AI services and established software engineering practices.
The AI Engineer will collaborate with product, functional, data, cybersecurity, and infrastructure teams to develop practical solutions that meet user needs and enterprise requirements. The role includes building and evaluating capabilities such as retrieval-augmented generation (RAG), tool and API integrations, and agent workflows; improving system quality through testing and user feedback; and supporting deployment, monitoring, and continuous improvement.
Responsibilities:
The Opportunity:
We are seeking an AI Engineer to design, develop, test, and support AI-enabled applications and agent-based solutions to support the United States Secret Service (USSS) contract supporting the Department of Homeland Security. The engineer will work across the software development lifecycle, translating mission and user needs into secure, reliable capabilities that integrate AI models with enterprise data, applications, and workflows. The work may use frameworks such as LangChain and Microsoft Agent Framework, along with cloud-based AI services and established software engineering practices.
The AI Engineer will collaborate with product, functional, data, cybersecurity, and infrastructure teams to develop practical solutions that meet user needs and enterprise requirements. The role includes building and evaluating capabilities such as retrieval-augmented generation (RAG), tool and API integrations, and agent workflows; improving system quality through testing and user feedback; and supporting deployment, monitoring, and continuous improvement.
Responsibilities:
- Design, develop, test, document, and maintain AI-enabled applications and services.
- Implement AI and agent workflows using LangChain, Microsoft Agent Framework, or other suitable frameworks and services.
- Develop RAG capabilities, including data ingestion, retrieval, grounding, and integration with authorized enterprise information sources.
- Integrate AI models with APIs, enterprise applications, and business workflows, including appropriate tool use and human review.
- Work with product owners, users, and functional specialists to understand needs and translate them into technical designs, user stories, and acceptance criteria.
- Develop and maintain application components, APIs, and services using Python and established software engineering practices.
- Create and execute automated tests and evaluations to assess accuracy, relevance, grounding, safety, and performance.
- Troubleshoot application and model behavior; use test results, telemetry, and user feedback to improve solution quality.
- Support deployment and operations, including CI/CD, monitoring, documentation, incident resolution, and ongoing maintenance.
- Apply security and privacy requirements, including identity and access controls, authorization-aware retrieval, and protection of sensitive data.
- Collaborate with data, cloud, cybersecurity, DevSecOps, and software engineering teams to integrate solutions into the enterprise environment.
- Contribute reusable components, technical documentation, and engineering practices that improve consistency and maintainability.
- Familiarity with AI safety frameworks such as the NIST AI Safety Framework to support implementation of alignment controls in artificial intelligence LLMs and agents
- Contribute to the development of the AI Safety/Alignment policies, procedures, etc., for ensuring ethical, controllable, and aligned artificial intelligence systems and agents Qualifications: Required:
- Bachelor's degree + 10 years of experience in artificial intelligence, machine learning, software engineering, or related field; equivalencies considered (Master's + 7 years; 16 years with no degree; AA + 12 years)
- At least five years of experience in software engineering, application development, AI/ML engineering, or a related technical field.
- Demonstrated experience developing software applications or services using Python and APIs.
- Hands-on experience building generative AI or machine learning applications that integrate models with data, applications, or workflows.
- Experience using LangChain, Microsoft Agent Framework, or a comparable framework to build AI or agent-based capabilities.
- Understanding of RAG, prompt and context design, model or application evaluation, and integration with enterprise data.
- Experience with automated testing, version control, and CI/CD practices.
- Familiarity with cloud-based application development and deployment; experience with Microsoft Azure is preferred.
- Understanding of secure software development and the need to protect sensitive information and restrict access to enterprise data.
- Ability to work collaboratively with technical teams, product staff, and functional stakeholders, and to communicate technical work clearly. Desired:
- Experience developing production applications using both LangChain and Microsoft Agent Framework.
- Experience with LangGraph or other approaches for building stateful, multi-step agent workflows.
- Experience with Azure OpenAI, Azure AI services, or Azure AI Foundry.
- Experience implementing authorization-aware RAG, data filtering, and access controls for retrieval and tool use.
- Experience with AI evaluation methods, test sets, tracing, observability, and monitoring for quality, latency, and cost.
- Experience integrating AI applications with enterprise systems, microservices, and web interfaces.
- Familiarity with responsible AI practices, including human review, explainability, and safe handling of uncertain or unsupported outputs.
- Relevant cloud, AI, or software engineering certifications.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$120,800 - $265,800CACI is an Equal Opportunity Employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.