Base Career helps you apply smarter for this job.
Key skills for this role
As an AI Engineer, you will integrate AI-enabled capabilities into existing sof tware systems by connecting models, inference endpoints, and orchestration components to production applications. You will implement AI features using established integration and sof tware engineering patterns, ensuring these capabilities operate reliably, securely, and efficiently within distributed systems. You’ll contribute to evaluation and monitoring approaches, refine integration workflows, and collaborate with cross-functional teams to deliver scalable AI functionality. Your work will help bring AI from concept into real-world environments through thoughtful, well-structured engineering.
Join us. The world can’t wait.
3+ years of experience building and maintaining production sof tware systems in Python
Experience integrating external services or APIs into distributed systems
Experience implementing inference request flows, including handling latency, token limits, and batching strategies
Experience writing integration tests for multi-service environments
Experience integrating large language models into production services, including managing inference requests, model responses, and error-handling flows
Knowledge of HTTP API design patterns, including authentication mechanisms such as OAuth2, API keys, or JWT
Knowledge of containerization and CI / CD pipelines
Ability to travel up to 25% of the time
TS/SCI clearance with a polygraph
Bachelor’s degree in CS, Engineering, or Data Science
Experience with message queues or event streaming, including Kafka, and SQS or SNS, and patterns for idempotency and handling out-of-order or duplicate events
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Springfield, USA
, USA
Dayton, USA
Dayton, USA
Aurora, USA
, USA
, USA
Arlington, USA
Experience implementing resilience patterns such as retries with backoff, timeouts, and circuit breakers, to ensure reliable system behavior
Experience with cloud AI platform tooling such as AWS Bedrock AgentCore, Google Gemini Enterprise Agent Platform, or Micro sof t Foundry Agent Service
Experience with Docker, Kubernetes, or Infrastructure-as-Code tooling
Experience with multi-step agentic workflows or orchestration concepts and how they integrate into existing systems
Experience with agent memory concepts such as session-level and persistent state, and how they relate to application logic
Experience with orchestration frameworks for AI-enabled systems such as LangGraph, CrewAI, or AutoGen, and supporting data stores such as Redis and Postgres
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.
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.
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.
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.
Consulting and technology services for government and commercial clients
Visit company websiteJobs and hiring trendsUSD 112800-257000 yearly / year
Full-time
Mid · 3+ years experience
Onsite
Apply faster on company sites with our extension.