Wyetech
Software Engineer 3
About this role
Senior AI Engineer role at Wyetech supporting federal government missions, responsible for designing and deploying mission-critical AI and analytics solutions with rigorous governance and compliance requirements. The position requires expertise in AI governance frameworks, cloud-native platforms, and modern development practices to deliver auditable, policy-aligned solutions in a highly regulated environment.
What you'll do
- Design, develop, and deploy mission-critical AI and analytics solutions within governed federal environments
- Implement and enforce analytic governance (AVG) and AI governance frameworks (AAA) across all models, data, and workflows
- Integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock
- Build front-end experiences using React, AWS Amplify, and related technologies
- Manage model and code versioning using Git, GitLab, Hugging Face, and Bailo
- Drive AI solutions from concept through production deployment with agile methodologies (Scrum/Kanban)
What they're looking for
- AI and machine learning model development
- Analytic and AI governance frameworks (AVG, AAA)
- Cloud platforms (AWS SageMaker, AWS EKS, AWS Bedrock)
- API integration (OpenAI, AWS services)
- React and front-end development
- Git, GitLab, and model versioning systems
- Agile methodologies (Scrum, Kanban, Jira, Confluence)
- Compliance and auditable solution design
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Wyetech
Wyetech builds cloud infrastructure, cybersecurity solutions, and advanced software systems for federal government clients, leveraging AWS, Kubernetes, machine learning, and cyber range technologies. The company is hiring Cloud Platform Engineers, DevOps Engineers, Software Engineers, and Test Engineers to develop and maintain these mission-critical systems.
View all jobs at WyetechLikely interview questions
- Describe your experience implementing AI governance frameworks and ensuring model compliance in regulated environments.
- How have you integrated third-party AI APIs like OpenAI or AWS Bedrock into production systems, and what governance challenges did you encounter?