Artificial Intelligence & Cloud Engineer

Posted Yesterday
Be an Early Applicant
Norfolk, VA, USA
In-Office
99K-207K Annually
Senior level
Information Technology • Consulting • Defense
The Role
Design, build, and scale production AI systems and cloud infrastructure. Architect multi-agent flows, implement RAG pipelines and semantic search, manage vector DBs and preprocessing, and deploy secure AI microservices in cloud. Collaborate with cross-functional teams and enforce security/privacy best practices for LLMs.
Summary Generated by Built In
Job Title: Artificial Intelligence & Cloud Engineer

Job Category: Engineering

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:

We are seeking an AI and Cloud Engineer to design, build, and scale our next-generation intelligent systems. In this role, you will bridge the gap between advanced artificial intelligence and robust cloud infrastructure. You will be part of a team responsible for architecting complex multi-agent flows, implementing enterprise-grade retrieval systems, and ensuring the secure deployment of AI workloads in cloud in systems that will grow to serve approximately 40,000 users. The ideal candidate is a self-motivated technical leader who thrives in agile environments and adapts quickly to emerging AI technologies.

Responsibilities:

  • Architect and implement scalable multi-agent systems using advanced routing and hierarchical design patterns.

  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation pipelines and semantic search systems.

  • Design and manage data preprocessing workflows, chunking strategies, and vector database infrastructure.

  • Deploy, secure, and monitor AI applications and microservices within cloud environments.

  • Collaborate closely with data scientists, UI/UX designers, and subject matter experts to integrate AI features into user-facing products.

  • Establish and enforce security best practices for large language model implementations and data privacy.

Qualifications Required

Experience and Education

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

  • 7+ years of professional software engineering experience, with at least 2 years dedicated to production AI, ML, or NLP development.

Technical Skills

  • Proven experience building multi-agent systems using frameworks like LangGraph, AutoGen, or equivalent tools.

  • Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.

  • Strong programming proficiency in a programing language similar to Python, and experience building robust RESTful APIs.

  • Hands-on experience deploying and managing cloud services within AWS or OCI.

  • Proficiency working with Linux operating systems and command-line interfaces.

  • Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.

Security and Compliance

  • Active Secret Security Clearance.

  • Current CompTIA SEC+ Certificate, or higher.

  • Experience proven knowledge of security best practices for AI systems, including model guardrails and secure data handling.

Professional Attributes

  • Experience working in an Agile development environment across cross-functional teams.

  • Strong problem-solving abilities and a track record of rapidly learning and adopting emerging AI disciplines.

Preferred Qualifications

  • Experience with NAVSEA Cyber RMF Processes and System Security Hardening.

  • Familiarity with secondary languages such as Rust, Go, or JavaScript for system optimization.

  • Relevant industry recognized Cloud certifications, such as AWS Certified Machine Learning – Specialty or OCI AI credentials.

  • Experience with open-source LLM evaluation and observability frameworks.


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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.

The proposed salary range for this position is:

$98,500-$206,800

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.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or related technical field.
  • 7+ years professional software engineering experience.
  • At least 2 years production AI, ML, or NLP development experience.
  • Experience building multi-agent systems using frameworks like LangGraph or AutoGen.
  • Deep understanding of RAG architecture, vector databases, embedding techniques, and information retrieval systems.
  • Strong programming proficiency in a language similar to Python (Python preferred).
  • Experience building robust RESTful APIs.
  • Hands-on experience deploying and managing cloud services in AWS or OCI.
  • Proficiency with Linux and command-line interfaces.
  • Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques.
  • Active Secret security clearance.
  • Current CompTIA Security+ (SEC+) certificate or higher.
  • Experience with security best practices for AI systems, including model guardrails and secure data handling.
  • Experience working in an Agile development environment across cross-functional teams.
  • Familiarity with NAVSEA Cyber RMF Processes and system hardening.
  • Familiarity with secondary languages such as Rust, Go, or JavaScript.
  • Relevant cloud certifications (e.g., AWS Certified Machine Learning - Specialty or OCI AI credentials).
  • Experience with open-source LLM evaluation and observability frameworks.

CACI International Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CACI International Inc and has not been reviewed or approved by CACI International Inc.

  • Healthcare Strength Pay is supported by a broad set of health-plan options across multiple national carriers, with telemedicine and tax-advantaged accounts included. Dental and vision choices are also described as multi-option, which strengthens overall coverage breadth.
  • Leave & Time Off Breadth Flexible Time Off is available for many salaried-exempt roles, while hourly roles accrue PTO, creating multiple time-off pathways by employment class. Paid disability coverage, fixed holidays, and paid leave programs (including parental leave and other leave types) further round out time-off and leave coverage.
  • Retirement Support Retirement support includes a 401(k) match structure described as 50% up to 8% of pay (effective 4%) and an Employee Stock Purchase Plan with a discount. Tuition reimbursement and certification support also add to the overall rewards package that complements core retirement benefits.

CACI International Inc Insights

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The Company
HQ: Reston, VA
17,673 Employees
Year Founded: 1962

What We Do

CACI’s approximately 23,000 talented employees are vigilant in providing the unique expertise and distinctive technology that address our customers’ greatest enterprise and mission challenges. Our culture of good character, innovation, and excellence drives our success and earns us recognition as a Fortune World's Most Admired Company. As a member of the Fortune 1000 Largest Companies, the Russell 1000 Index, and the S&P MidCap 400 Index, we consistently deliver strong shareholder value. Visit us at www.caci.com.

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