As a Senior Software Engineer on the AI Platform, you will lead infrastructure initiatives and develop scalable systems for AI features, collaborating with cross-functional teams.

The Specialized Customer Success Manager for CLM is responsible for driving customer adoption and value realization for AI-powered contract lifecycle management workflows, managing relationships, and collaborating cross-functionally.

Design and implement backend services for AI agent applications, focusing on distributed systems and Kubernetes deployment, while improving system performance and developer experiences.

We seek a Machine Learning Engineer to develop, deploy, and optimize advanced ML systems, focusing on AI Agent evaluation and optimization across complex environments.

As a Machine Learning Engineer, you will develop and optimize AI models and systems, focusing on Information Retrieval and Natural Language Processing while working with exclusive datasets to deliver valuable solutions for customers.

The role involves designing, developing, and deploying scalable machine learning models and AI systems, focusing on end-to-end ownership of the ML lifecycle, collaborating cross-functionally, advocating for technical excellence, and mentoring junior engineers while championing Responsible AI practices.

The role involves leading quality assurance by automating tests, enhancing platform scalability, mentoring SDETs, and collaborating with engineering teams on a SaaS contract management platform.

Manage complex HCM and ERP implementations, focusing on Financials, HCM, and Payroll, while collaborating with teams to ensure project success.

Lead a team of engineers developing the Agent Platform for AI agents. Responsibilities include roadmap execution, system design, best practices, and team development.

As a Principal Product Manager, you will lead the vision, strategy, and execution for AI-driven Contract Intelligence and Analytics, enhancing enterprise customer engagement with cutting-edge solutions.

The role involves managing a software engineering team, collaborating with product and design teams, and driving AI initiatives for contract management solutions.

The role involves architecting Agentic AI products, driving optimization algorithms, developing AI frameworks, and managing the full ML lifecycle while collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

The role focuses on leading enterprise architecture initiatives. Responsibilities include designing systems and processes that drive efficiency and innovation, aligning technology with the company's strategic goals.

Provide hands-on consulting for Workday Financials Spend Management post go-live, optimizing customer processes and ensuring efficient use of financial systems.

The Sr. Product Advisor will implement Talent Management solutions focusing on Learning, driving deployment efficiency, and collaborating with Product and Sales teams for new offerings.

The Machine Learning Engineer will design and build core ML systems for AI agents, managing their lifecycle, from design to deployment, and ensuring scalability and reliability.

Design, build, and enhance personalized employee journeys within Workday. Focus on front-end and contribute to backend services, ensuring high-quality user experiences.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

The role involves developing AI technology for contract management, analyzing contracts, collaborating with teams, and automating processes.