Value Engineering and Outcomes Engineer

Job Responsibilities

• Use Case Structuring, Challenge & Readiness: Partner with business domain teams and RDT AI teams (such as Applied AI) to clarify, structure, and constructively challenge AI and HPC use cases, assessing readiness, dependencies, and feasibility across data, infrastructure, and platform constraints; ensure use cases are technically viable and aligned with platform capabilities before execution, identify gaps early and guide teams toward executable pathways.
• Workload Translation, Architecture & Platform Routing: Translate use cases into executable workload designs, including compute, storage, orchestration, and data requirements; define how workloads are deployed across AI Factory, HPC, and hybrid environments; leverage experience with containerized and distributed systems (e.g., Kubernetes, HPC schedulers) to ensure workloads are production‑ready; develop reusable patterns to standardize workload deployment and scaling.
• Platform O...