AI/ML Engineer and AI Shared Service Developer
About The Position
AI/ML Engineer and AI Shared Service Developer The Opportunity: As an experienced AI/ML Engineer, you will help develop and operationalize a secure, scalable, production-grade AI library of reusable solutions and shared services that advance the deployment of common AI solutions across the federal government. You will work closely with solution architects and product owners to deliver high-impact AI/ML solutions across a broad range of use cases. In this role, you will design and build, shared services using platforms built on Databricks, Amazon Bedrock, and custom AI/ML models. You will develop AI solutions to accelerate and improve system security, core business functionality such as document processing and virtual agents, and AIOps to streamline cloud and data platform operations. You will work closely with cloud engineers, SRE, and data engineers to develop use cases, prototype solutions, and deploy agents across the cloud infrastructure. You will build and operate production-grade ML pipelines with strong MLOps practices—including versioning, CI/CD, monitoring, drift detection, explainability, and fairness—and integrate with shared enterprise services using API-first and event-driven patterns. You will also harden the platform to meet security and compliance requirements, including ATO, produce architecture and operational documentation, and collaborate closely with product, fraud, and case management teams in an Agile delivery environment. Due to the nature of work performed within this facility, U.S. citizenship is required. Join us. The world can’t wait.
Requirements
- 5+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods
- 5+ years of experience in software development with programming languages, technologies, tools, or web development stacks such as JavaScript, Python, or Scala
- Experience with Amazon Bedrock and Databricks for developing AI solutions
- Experience with agentic coding solutions including GitHub Copilot
- Experience with API-first and event-driven integration patterns, including secure service-to-service communication
- Experience working in Agile delivery environments, collaborating with product owners, SMEs, and engineering teams
- Knowledge of responsible AI practices, including explainability, fairness, and bias assessment
- Ability to design and document architecture artifacts, data contracts, and operational runbooks
- Public Trust
- Bachelor's degree or 5+ years of experience in software engineering in lieu of a degree
Nice To Haves
- Experience building, deploying, and operating production
- Experience with ML models, including supervised, unsupervised, and anomaly detection, including techniques for imbalanced datasets
- Experience with integrating custom AI models into enterprise workflows
- Experience in enterprise modernization programs, including cloud migration, microservices, API strategy, and DevSecOps
Benefits
- health
- life
- disability
- financial
- retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
