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. 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 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. 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.