Responsibilities
- Help design, build, and deploy AI-based applications and proof-of-concept systems using platforms such as AWS Bedrock, Azure OpenAI, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or comparable technologies
- Create and evaluate prompt engineering methods, retrieval-augmented generation (RAG) pipelines, and AI agent functionalities
- Assist in connecting AI systems with APIs, enterprise platforms, and cloud-based services
- Develop and manage cloud environments on AWS and Microsoft Azure
- Support infrastructure provisioning using Infrastructure-as-Code solutions including Terraform, AWS CDK, or Bicep
- Help deploy containerized applications via ECS, EKS, or AKS
- Engage in continuous integration and continuous delivery (CI/CD) processes and cloud automation projects
- Support senior team members in resolving technical issues related to cloud infrastructure, AI models, and data integration
- Help create reusable templates, accelerators, and reference designs
- Take part in fast-paced prototyping initiatives that showcase tangible benefits for federal agencies
- Work with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams to deliver integrated solutions
- Contribute to technical documentation, system architecture diagrams, and internal knowledge-sharing efforts
- Keep up with advancements in artificial intelligence, machine learning, and cloud computing
Benefits
- Comprehensive medical, dental, and vision coverage
- 401(k) plan with employer matching contributions
- Paid time off and paid federal holidays
- Reimbursement for professional development and industry certifications
- Opportunities for career advancement and mentorship
Work Arrangement
Hybrid
Other
- Applicants must be able to obtain and maintain a public trust level security clearance
- This position does not offer visa sponsorship
Not available
