Develop scalable software for a CMS platform, including AI-driven capabilities, and improve backend performance. Own CI/CD and infrastructure automation, containerization, automated testing, debugging, and security and code-quality gates while collaborating with human-centered design experts.
You will design and manage robust data frameworks, including building secure repositories and automated reporting pipelines. Additionally, you will serve as the primary point of contact for government clients, ensuring data integrity and reliable communication.
The role involves conducting user research and usability testing to inform the design of an enterprise AI platform. You will translate research insights into wireframes and prototypes while ensuring accessibility compliance and supporting customer engagement.
Design and maintain robust automated test frameworks for web applications, APIs, and AI-driven features. Develop automated pipelines for model validation, bias detection, and drift monitoring within an AI/ML platform.
You will write and maintain automated tests for an enterprise AI platform while supporting CI/CD pipelines. Additionally, you will investigate failures, report bugs, and collaborate with senior testers to learn performance and accessibility testing.
Lead the support operations for enterprise AI services while providing white-glove assistance to senior stakeholders and the Administrator’s office. Manage the support queue, mentor staff, maintain documentation, and facilitate feedback loops between leadership and technical teams.
Provide Tier 1-2 technical support for enterprise AI tools to agency stakeholders via multiple communication channels. Diagnose software issues, manage knowledge base documentation, and act as a feedback loop between users and engineering teams.
You will produce and maintain technical documentation, SOPs, and user guides for an enterprise AI platform while ensuring compliance with Section 508 and plain-language standards. Additionally, you will build and format recurring reports to ensure data governance activity is clear and accessible.
The engineer will manage the enterprise AI platform by implementing monitoring, metrics, and dashboards to ensure system health and visibility. They will also automate governance and performance reporting while enforcing operational guardrails using infrastructure as code.
