Artificial Intelligence Engineer

CACI International; Ashburn (GA); On-site; USD 104,000 - 218,000; Full time

Job summary

CACI International, in Ashburn, VA, seeks a Senior Artificial Intelligence Engineer to design, build, and deploy LLMs and agentic AI within Palantir’s Army Vantage for DoW networks. You’ll collaborate with data scientists, engineers, and product teams in an Agile Scrum environment to deliver scalable AI solutions.

You will integrate AI models with Ontology, datasets, and pipelines across Vantage, ADVANA, and related platforms, while maintaining strong security and compliance practices.

Qualifications

• Proven experience building and deploying LLMs in production.

Responsibilities

• Architect, train, and fine-tune LLMs for enterprise use cases within the Vantage platform.

Skills

LLMs deployment

Agentic AI

Python

PyTorch

TensorFlow

Palantir Vantage

ADVANA

Data modeling

Ontology design

Agile Scrum

Communication

Education

B.S./M.S. in CS/IS/InfoSec

Tools

Palantir Vantage

ADVANA

Databricks

Job description

Job Title: Artificial Intelligence Engineer

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

The Opportunity:

CACI’s Agile Solution Factory (ASF) is hiring a Senior Artificial Intelligence (AI) Engineer to drive the development of Large Language Models (LLMs) and agentic AI solutions within Palantir’s Army Vantage. In this role, you will design, build, and deploy advanced AI systems that leverage the power of Vantage’s data integration, analytics, and operational capabilities. You will also support and integrate other AI capabilities built within the Department of the War (DoW) network, such as ADVANA, ensuring interoperability and maximizing impact across platforms.

ASF programs thrive in a culture of innovation and are constantly seeking individuals who can bring creative ideas to solve complex problems, both technical and procedural, to the team. The ability to be adaptable and to work constructively with a technically diverse and geographically separated team is crucial.

You will work as an integral part of an Agile Scrum team – a highly productive team of technical professionals who thrive on supporting the customer’s mission and growth objectives through Agile software development. You will work in close collaboration with team members and other stakeholders within Agile methodologies.

More About the Role

The ideal candidate will have experience building real-world AI applications using LLMs, agents, APIs, and workflows. You will be able to integrate AI models into products and production systems, and have experience with prompt engineering, RAG pipelines, and orchestration. As an Agile Scrum team member, you will work with stakeholders to refine requirements, track your work on an agile board and ensure user needs are met within standards. You will report on progress of assigned work at developer team sessions.

Responsibilities

• Architect, train, and fine-tune LLMs for enterprise use cases within the Vantage platform.
• Develop agentic AI systems that can autonomously reason, plan, and act on complex data workflows.
• Integrate AI models with Palantir Ontology, datasets, and operational pipelines.
• Collaborate with data scientists, engineers, and product teams to deliver scalable AI solutions.
• Support and enhance AI capabilities across the DoW network, including platforms like Vantage and ADVANA.
• Stay current with advancements in generative AI, LLMs, and agentic architectures, and apply best practices to Vantage and DoW deployments.
• Develop content and present briefings to senior government leaders.
• Manage and respond to user tickets.
• Lead Integrated Product Teams (IPT).

Qualifications

Required:

• Must be a U.S. Citizen, with an active secret DoD security clearance (ability to attain interim will be considered).
• College degree (B.S., M.S.) in Information Assurance, Computer Science, Management Information Systems, or a related discipline. Experience will be considered in lieu of education.
• Minimum of 7 years related technical experience.
• Good written and verbal communication skills.
• Strong collaboration skills and desire to work within a team.
• Highly responsible, team-oriented individual with very strong work ethic, and a self-starter.
• Ability to work in a fast paced, constantly changing environment.
• Solution-based thinker; capable of resolving complex technical challenges.
• Experience and comfort working on a Scrumban team in an Agile environment.
• Works well with limited oversight.

Required Technical Skills

• Proven experience building and deploying LLMs (e.g., GPT, Llama, PaLM) in production environments.
• Strong background in agentic AI, autonomous agents, or multi-agent systems.
• Proficiency with Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
• Experience working with Palantir Vantage, ADVANA, or similar data analytics platforms is highly desirable.
• Familiarity with data modeling, ontology design, and pipeline orchestration in Vantage and/or ADVANA.
• Excellent problem-solving and communication skills.
• Experience developing or launching an Agentic AI solution for an organization preferable the DoW

These Qualifications Would Be Nice to Have

• Prior work integrating AI/ML models with enterprise data platforms, especially within government or DoW networks.
• Experience with prompt engineering, retrieval-augmented generation (RAG), or AI workflow automation.
• Knowledge of security, compliance, and responsible AI practices in enterprise settings.
• Experience with DoW (DoD) ADVANA.
• Experience with Palantir MAVEN.
• Experience developing in Army 365 (A365).
• Azure Data/AI stack familiarity (Azure Databricks, Synapse, or Data Factory).
• Experience developing and maintaining applications using Microsoft Power Platform suite (Model-driven and Canvas App, Power BI, Power Automate, Power Pages/Portals, Portal Management MDA, Power Apps Pipeline) in an Azure environment.
• Experience developing with Databricks.
• Experience with designing and implementing data models in Microsoft 365.

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:

$103,800 - $218,100

CACI is anEqualOpportunity 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 otherprotectedcharacteristic.