• Customer requirements gathering, design, and documentation. • Acquire technology stacks for SandcastleCX engagements. • Plan and coordinate customer enablement sessions. • Identify cross-sell and up-sell opportunities. • Build and prove out critical use cases. • Help resolve customer objections and de-risk cloud migration. • Maintain expertise in CX technologies and TTEC Digital offerings

• Lead the technical design and architecture of Oracle Fusion Cloud solutions within the Supply Chain business. • Collaborate with business stakeholders and functional consultants to understand business requirements and translate them into technical designs. • Provide guidance and expertise on the configuration, customization, and extension of Oracle Fusion Cloud applications to meet specific user needs. • Configure, test, and deploy Oracle Cloud Financials modules, supporting all phases of the project lifecycle. • Guide business process optimization and transformation in the context of Oracle Cloud. • Develop solution blueprints, process flows, gap analysis, and technical documentation. • Conduct technical feasibility assessments and provide recommendations for system enhancements, upgrades, and migrations. • Collaborate with development, integration, and security teams to ensure adherence to architectural designs and standards during the development lifecycle. • Troubleshoot complex technical issues related to Oracle Fusion Cloud applications and provide timely resolutions. • Stay up to date with the latest Oracle Fusion Cloud releases, features, and industry trends to provide proactive recommendations and enhancements. • Support cutover, UAT, and production deployment, ensuring business readiness. • Collaborate with project managers, technical teams, and change management leads to ensure successful, on-time deliverables.

• Architect and implement scalable HPC clusters optimized for AI, simulation, and distributed training, leveraging container orchestration frameworks and schedulers (e.g., Kubernetes, Slurm). • Design and integrate GPU-accelerated compute infrastructures featuring NVIDIA Hopper, Blackwell architectures, NVLink/NVSwitch, and InfiniBand/RoCE Interconnects. • Deploy, and manage GPU Operator and Network Operator stacks for automated lifecycle management of GPU and high-speed networking components. • Design and validate cloud HPC environments, focusing on low-latency, high-bandwidth networking, multi-GPU scaling, and efficient workload scheduling. • Lead reference architectures for AI/ML model training, data pipelines, and MLOps integrations using modern observability and CI/CD tooling. • Collaborate with hardware vendors (e.g., NVIDIA) and cloud providers to evaluate and optimize emerging HPC and GPU technologies. • Benchmark system performance, identify bottlenecks, and tune resource utilization across compute, network, and storage tiers. • Provide expert-level technical guidance to customers, internal teams, and partners on HPC architecture patterns, operational excellence reviews and customer engagements

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role We are seeking a highly experienced Senior Physical Design Engineer with a strong background in chip-level implementation and EDA tools. The ideal candidate will have deep expertise in physical design, timing closure, and low-power design. Qualifications