Wyetech
Software Engineer 3
About this role
Wyetech seeks a Senior AI Engineer to design and deploy mission-critical AI solutions for federal government customers in a highly regulated environment. You'll implement governance frameworks, integrate advanced AI capabilities through APIs, and build scalable cloud-native applications while ensuring compliance and auditability.
What you'll do
- Design and develop AI/analytics solutions with strict governance and compliance requirements
- Implement analytic and AI governance frameworks (AVG, AAA) across models and workflows
- Integrate advanced AI capabilities using OpenAI, AWS Bedrock, and similar platforms
- Build front-end experiences with React, AWS Amplify, and modern web technologies
- Deploy and manage solutions on cloud-native platforms (AWS SageMaker, EKS, container systems)
- Drive solutions from concept through production deployment using agile methodologies (Scrum/Kanban)
What they're looking for
- AI/machine learning model development and governance
- AWS services (SageMaker, EKS, Bedrock, Amplify)
- Python or similar languages for analytics
- React and front-end development
- Git, GitLab, and model management platforms (Hugging Face, Bailo)
- Governance frameworks and compliance (AVG, AAA)
- Agile delivery (Scrum, Kanban, Jira, Confluence)
- API integration and cloud architecture
Benefits
- Award-winning corporate culture
- World-class employee experience
- Work on mission-critical federal projects
- Opportunities to solve real-world problems
- Collaborative, technology-forward environment
- Industry-competitive total rewards package
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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 in highly regulated environments and how you ensured model auditability.
- Walk us through a complex AI project you deployed end-to-end: what were the governance challenges and how did you address them?