Job Description

Role description

PS Global Competency Center



Hewlett Packard Enterprise



Job Title Lead Solutions Architect AI Infrastructure Private Cloud







We are seeking an experienced Lead Solutions Architect with deep expertise in AIML infrastructure High Performance Computing HPC and container platforms to join our dynamic team focused on delivering HPE Private Cloud AI and Enterprise AI Factory Solutions This role is instrumental in architecting deploying and optimizing private cloud environments that leverage HPEs codeveloped solutions with NVIDIA as well as validated HPE reference architectures to support enterprisegrade AI workloads at scale



The ideal candidate will bring strong technical expertise in AI infrastructure container orchestration platforms and hybrid cloud environments and will play a key role in delivering scalable secure and highperformance AI platform solutions powered by HPE GreenLake and NVIDIA AI Enterprise technologies



Key Responsibilities



1Leadership and Strategy



Provide delivery assurance and serve as the lead design authority to ensure seamless execution of Enterprise grade container platform including Red Hat OpenShift and SUSE Rancher HPE Private Cloud AI and HPCAI solutions fully aligned with customer AIML strategies and business objectives



Align solution architecture with NVIDIA Enterprise AI Factory design principles including modular scalability GPU optimization and hybrid cloud orchestration



Oversee planning risk management and stakeholder alignment throughout the project lifecycle to ensure successful outcomes



2Solution Planning and Design



Architect and optimize endtoend solutions across container orchestration and HPC workload management domains leveraging platforms such as Red Hat OpenShift SUSE Rancher andor workload schedulers like Slurm and Altair PBS Pro



Ensure seamless integration of container and AI platforms with the broader software ecosystem including NVIDIA AI Enterprise as well as opensource DevOps AIML tools and frameworks



3Opportunity assessment



Lead technical responses to RFPs RFIs and customer inquiries ensuring alignment with business and technical requirements



Conduct proofofconcept PoC engagements to validate solution feasibility performance and integration within customer environments



Assess customer infrastructure and workloads to recommend optimal configurations using validated reference architectures from HPE and strategic partners such as Red Hat NVIDIA SUSE along with components from the opensource ecosystem



4Innovation and Research



Stay current with emerging technologies industry trends and best practices across HPC Kubernetes container platforms hybrid cloud and security to inform solution design and innovation



5Customercentric mindset



Act as a trusted advisor to enterprise customers ensuring alignment of AI solutions with business goals



Translate complex technical concepts into value propositions for stakeholders



6Team Collaboration



Collaborate with crossfunctional teams including subject matter experts in infrastructure componentssuch as HPE servers storage networkingand data science teams to ensure cohesive and integrated solution delivery



Mentor technical consultants and contribute to internal knowledge sharing through tech talks and innovation forums



Required Skills



1 HPC AI Infrastructure



Extensive knowledge of HPC technologies and workload scheduler such as Slurm andor Altair PBS Pro



Proficient in HPC cluster management tools including HPE Cluster Management HPCM andor NVIDIA Base Command Manager



Experience with HPC cluster managers like HPE Cluster Management HPCM andor NVIDIA Base Command Manager



Good understanding with highspeed networking stacks InfiniBand Mellanox and performance tuning of HPC components



Solid grasp of highspeed networking technologies such as InfiniBand and Ethernet



2 Containerization Orchestration



Extensive handson experience with containerization technologies such as Docker Podman and Singularity



Proficiency with at least two container orchestration platforms CNCF Kubernetes Red Hat OpenShift SUSE Rancher RKEK3S Canonical Charmed Kubernetes



Strong understanding of GPU technologies including the NVIDIA GPU Operator for Kubernetesbased environments and DCGM Data Center GPU Manager for GPU health and performance monitoring



3Operating Systems Virtualization



Extensive experience in Linux system administration including package management boot process troubleshooting performance tuning and network configuration



Proficient with multiple Linux distributions with handson expertise in at least two of the following RHEL SLES and Ubuntu



Experience with virtualization technologies including KVM and OpenShift Virtualization for deploying and managing virtualized workloads in hybrid cloud environments



4 Cloud DevOps MLOps

Skills

Mandatory Skills :

Architecture Patterns and Styles,Angular,Ansible,Java,JavaScript,Jenkins,Kubernetes,Application Architecture,Application Rearchitecting,Microservices,Node.js,Architectural diagrams,Asp.net,PostgreSQL,PowerShell,.Net Core,SpringBoot,Azure DevOps,Azure Functions,Terraform,Azure Logic Apps,Azure Monitor,Azure Service Bus,Azure SQL,Gitlab,C#,.Net Framework,Azure Cloud Architecture,Azure Frontdoor,Entity Framework (EF/EF Core),Azure App Service,Architectural Patterns

Good to Have Skills :

Architectural diagrams

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 83,000+ talented and entrepreneurial professionals across more than 40 countries, LTIMindtree -- a Larsen & Toubro Group company -- solves the most complex business challenges and delivers transformation at scale. For more information, please visit https://www.ltimindtree.com/. Please also note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTIMindtree for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTIMindtree disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/