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Design, implement, and deliver scalable features for Workday's Machine Learning Runtime platform, collaborating with teams to enhance efficiency.

The role involves maintaining and automating a Kubernetes platform, ensuring high availability, scalability, and security while collaborating with development teams for deployment and compliance.

Responsible for the success of deploying Workday solutions to customers, ensuring satisfaction, driving adoption, and managing executive relationships, with a focus on customer retention.

The Enterprise Architect leads complex platform strategies, analyzing systems and integrations, and collaborates across teams to enhance customer experiences while providing expert guidance on technology differentiation.

Lead a team of Customer Success Managers to drive adoption and retention for AI-enabled products. Oversee execution strategies and partner cross-departmentally to enhance customer value and engagement.

The Product Manager will define the technical product roadmap and enhance customer experience by collaborating with stakeholders and development teams. Responsibilities include driving product vision, guiding solution design, and advocating for customer needs.

Develop and implement scalable ML Runtime Inference applications. Collaborate with Data Scientists and ML Engineers to enhance development efficiency and performance, while maintaining infrastructure as code and CI/CD pipelines.

As System Owner, manage the lifecycle of federal information systems, ensuring compliance with security policies while coordinating cross-functional teams to address risks and future technology integrations.

As a Data Scientist, you'll design and implement ML solutions, analyze data, and enhance statistical models to inform product decisions for Workday's platform.

Seeking a Full Stack Engineer to develop the Platform Consumption Console, creating user-facing experiences and backend services, integrating AI into HR and Finance workflows while managing data and billing challenges.