AI Engineer

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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, Sage Maker/AI Studio, EKS/ECS, S3, IAM, Cloud Watch

Experience with agent orchestration frameworks, such as Lang Graph and Strands, and tool or function calling patterns

Experience implementing observability such as Open Telemetry, Datadog, or Cloud Watch 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

Clearance:

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

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 $ (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.

AI Engineer

The Opportunity:

W…