AI Engineer

Phase2 Technology; Arlington (VA); On-site; USD 77,600 - 176,000; Full time

Job summary

Phase2 Technology in Arlington, VA is seeking an AI Engineer to design, train, and deploy ML models across enterprise and defense-oriented projects. You will work with ML engineers, architects, and stakeholders to build agentic solutions that scale on legacy and modern systems.

The role emphasizes practical ML deployment, familiarity with LLMs, embeddings, and APIs, and collaboration across teams. A Bachelor's degree and security clearance are required, with opportunities to grow in a

Qualifications

• 2+ years of ML engineering in software or data roles.
• Experience building AI-enabled features using LLMs, embeddings, or APIs.
• Familiarity with LangChain or LlamaIndex.
• Proficiency in Python, containers, and CI/CD.
• Experience with cloud AI services (AWS/Azure/GCP).
• Experience with vector databases like OpenSearch or Weaviate.
• Experience building backend services and RESTful APIs.
• Ability to follow code reviews and document work.

Responsibilities

• Develop, train, test, deploy ML models across platforms.
• Collaborate with architects, engineers, and stakeholders to deliver solutions.
• Advance ML strategy for Global Defense and enterprise contexts.
• Maintain and improve AI-enabled features and tooling.

Skills

ML engineering experience

LLMs / embeddings

Prompt engineering

Python

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree

Master's degree preferred

Tools

LangChain / LlamaIndex

OpenAI / Anthropic APIs

Docker

RESTful APIs

Vector DB (OpenSearch / Weaviate)

Job description

AI Engineer

As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer‑focused solution. We need your technical knowledge and desire to problem‑solve to support help architect, build, and deploy intelligent, agentic solutions that work across legacy infrastructure, modern platforms, and various stakeholder needs. As a machine learning engineer on our Global Defense team, you'll train, test, deploy, and maintain models that learn from data.

In this role, you'll contribute to the direction of mission‑critical solutions by applying best‑fit ML algorithms and technologies. You'll grow within a talented team of machine learning engineers across the company and collaborate with senior architects, platform leads, and business stakeholders to deliver world‑class solutions to solve meaningful problems across enterprise and mission environments. You'll gain exposure to next‑generation tooling, including LLMs, RAG pipelines, and AI agents, while contributing to high‑impact efforts that demand both technical skill and strategic insight. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real‑world challenges and define ML strategy for Global Defense.

Join us. The world can't wait.

You Have:

• 2+ years of experience with machine learning engineering in software engineering or data engineering roles
• Experience building AI‑enabled features or prototypes using LLMs, embeddings, or 3rd party APIs, including OpenAI or Anthropic
• Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including LangChain or LlamaIndex
• Experience with application containerization, CI/CD deployments, and Python
• Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services
• Experience with a vector database or search framework, including OpenSearch or Weaviate
• Experience developing backend services and building or consuming RESTful APIs
• Ability to follow code review practices, document work, and maintain clean and reusable code
• Secret clearance
• Bachelor's degree

Nice if you have:

• Experience with AI-assisted development such as Cursor, Cline, Windsurf, or Claude Code
• Experience with AI agent frameworks, including LangChain or LlamaIndex
• Experience with open‑source AI projects such as Ollama or personal projects using generative AI
• Experience with Git, CI/CD workflows, or containerization tools such as Docker
• Bachelor's degree in Computer Science or Engineering preferred; Master's degree in Computer Science or Engineering a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Equal Opportunity Employer. Booz Allen is an affirmative action and equal opportunity employer. Employment is not based on race, color, religion, gender, sexual orientation, protected veteran status, disability, or any other basis protected by applicable law.