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Embed with client teams to deploy, scale, and operationalize enterprise AI platforms and agentic systems. Own end-to-end production outcomes, design secure governed AI architectures, rapidly prototype to production, and build reusable patterns and playbooks to transfer capability to clients.

As a Workday Advanced Compensation and Benefits Consultant, you will assist clients in transforming HR processes, implementing Workday solutions, leading workshops, managing project workstreams, and ensuring client satisfaction through innovation and best practices.

As a Workday Talent & Performance Lead, you'll guide clients in optimizing their HR processes using Workday technology. Key responsibilities include leading implementation projects, collaborating on solutions, conducting workshops, and innovating methods.

Embed with client teams to design, deploy, and scale production AI platforms end-to-end. Deliver measurable business outcomes via rapid prototyping, productionization, governance, and stakeholder alignment while building reusable playbooks and patterns.

Design and deliver BI solutions using Databricks and Power BI: gather requirements, prepare and transform data, build dashboards and semantic models, collaborate with engineers and stakeholders, ensure data quality, and support testing, documentation, and deployment in Azure-based environments.

The role involves SAP implementation and consulting, focusing on technical and functional domains. Responsibilities include designing, configuring, and managing SAP solutions and supporting global transformation initiatives.

Design, build, and deploy production-grade agentic AI systems: multi-agent orchestration, RAG pipelines, LLM provider integration, LLMOps (eval harnesses, prompt versioning, observability), cloud-native deployment, and reusable patterns while embedding with client engineering teams to measure and improve agent accuracy, latency, safety, and cost.

The Workday Recruiting Lead advises clients on HCM and Recruiting solutions, leads workstreams, manages stakeholder relationships, and innovates solutions within Workday.

Design, build, and deploy production-grade multi-agent AI systems for enterprise clients. Own RAG pipelines, multi-LLM integration, LLMOps (eval, prompt governance, observability), orchestration frameworks, and lead client engineering engagements and engineering teams.

The role involves gathering requirements, developing AI solutions, mentoring a team, and fostering client relationships while delivering projects effectively.