AI Engineer

Remote Work:

Hybrid

Job Number:

R0244899

Location:

Washington,DC,US

AI Engineer

The Opportunity:

We're looking for an AI Engineer to design, build, and operate production-grade AI systems at scale to own the full lifecycle of agentic applications and ML solutions, from data pipelines and model development to evaluation, observability, and performance optimization.

You'll own production AI/ML solutions end to end by building and deploying applications like multi-agent systems in cloud environments. You'll ensure systems are observable and performant, implementing tracing, metrics, and optimizing latency, caching, and retrieval, while designing and evaluating RAG pipelines, applying traditional ML where appropriate, and using AI-assisted coding tools to accelerate delivery.

Join us. The world can't wait.

You Have:

• 3+ years of experience building production systems and applications, including AI/ML applications

• 2+ years of experience developing Generative AI applications using LLMs, RAG frameworks, and vector stores

• Experience designing and building APIs and services with FastAPI, Flask, or Node.js

• Experience working in cloud-native environments like AWS and Azure and developing scalable solutions with cloud services like Bedrock/AI Foundry, SageMaker/AI Studio, EKS/ECS, S3, IAM, CloudWatch

• Experience with agent orchestration frameworks, such as LangGraph and Strands, and tool or function calling patterns

• Experience implementing observability such as OpenTelemetry, Datadog, or CloudWatch and performance metrics pipelines with dashboards

• Experience using AI-assisted coding tools such as Copilot, Codex, and Claude Code for complex development tasks

• Experience deploying models, agents, or applications via CI/CD

• Ability to obtain a Secret clearance

• Bachelor's degree in CS, Engineering, or STEM field

Nice If You Have:

• Experience supporting DoW clients or other federal mission environments

• Experience with advanced agentic patterns including prompt caching, guardrails, agentic memory, Model Context Protocol (MCP), and agentic deployment strategies

• Experience with end-to-end chatbot or agent to agent (A2A) development

• Experience with enterprise data and ML platforms such as Databricks or Snowflake

• Experience in creating and managing large data processing pipelines

• Master’s degree

Clearance:

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

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 $99,000.00 to $225,000.00 (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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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.