Six Figure Work

AI Engineer

CACI

Company websitecaci.com (CACI, opens in new tab)

Base salary $105,100  to $231,100

Employer-published annual base salary, USD. Advertised base range in United States

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  • LocationUnited States
  • WorkplaceRemote
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

Job Title: AI EngineerJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start:Employee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Local* * *

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.

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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.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$105,100-$231,100

CACI 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.

Source: CACI on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($105,100) is above 4% of the 3,615 Data & ML roles nationwide listed on this site; 2 others list the same floor. Their median floor is $170,000; the middle half runs from $138,905 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live CACI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live CACI roles with the nearest advertised base floor
RolePublished base
AI Engineer (this listing)$105,100 - $231,100
SAP Functional Consultant – Procure to Pay (PTP) / Materials Management (MM)$105,100 - $231,100
Exploitation Analyst (EA)$105,100 - $231,100
Cloud Infrastructure Systems Administrator- LINUX Admin$105,100 - $231,100
Oracle Fusion Cloud HCM Functional (SME)$105,100 - $231,100
Senior Principal Software Developer$105,100 - $231,100
Momentum Financials Technical Subject Matter Expert$105,100 - $231,100

Same $100K to $400K scale as every card. All CACI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. fields changed
  3. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-21
Where this pay comes from

Location as the employer wrote it: 999 REMOTE

$105,100-$231,100

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.