Systems Integration Specialist Advisor

Summary: The Senior AI Platform & GPU-as-a-Service Engineer builds and optimizes enterprise AI platforms supporting GenAI, ML, and LLMs. The role involves partnering with cross-functional teams to deliver scalable, secure GPU infrastructure and automation capabilities.

Req ID: 393039

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Systems Integration Specialist Advisor to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Job Description

Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer

The Senior AI Platform & GPU-as-a-Service (GPUaaS) Engineer is responsible for building, operating, automating, and optimizing the enterprise AI Platform & Acceleration Services (AIPAS) capability supporting Artificial Intelligence (AI), Generative AI (GenAI), Machine Learning (ML), Large Language Models (LLMs), High Performance Computing (HPC), and GPU-enabled workloads.

This role will partner with architecture, infrastructure, security, networking, storage, OpenShift Engineering, and Line of Business teams to deliver a production-ready GPU platform that enables scalable and secure AI adoption across the enterprise.

The engineer will support functions ranging from platform engineering, customer onboarding, GPU workload enablement, operational readiness, observability, capacity management, automation, self-service capabilities, and service optimization. The role requires a combination of platform engineering expertise, operational experience, automation skills, and customer engagement capabilities.

The ideal candidate is comfortable operating across infrastructure, platforms, AI workloads, automation, and operations while helping transform GPU infrastructure into an enterprise GPU-as-a-Service offering.

Job Requirements

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline (or equivalent experience).

Experience

Required

• 5+ years of Platform Engineering, Infrastructure Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or related experience
• 3+ years of Kubernetes and/or OpenShift experience
• Experience operating and supporting enterprise production platforms
• Experience automating infrastructure and platform services
• Experience supporting highly available and distributed systems
• Familiarity with Machine Learning
• Familiarity with Large Language Models in both Inferencing and Fine Tuning scenarios
• Experience working across multiple technology teams, including infrastructure, security, application, and operations teams
• Experience with NVIDIA GPU infrastructure

Preferred

• 7+ years of enterprise engineering experience
• Experience with OpenShift AI platforms
• Experience with Python, CUDA and Golang
• Experience in highly regulated enterprise environments (Financial Services preferred)
• Experience implementing self-service platform capabilities
• Experience building operational and executive reporting solutions

Core Competencies

• Strong troubleshooting and analytical skills
• Customer-focused mindset
• Strong verbal and written communication skills
• Ability to translate business requirements into technical solutions
• Ability to work independently and lead technical initiatives
• Strong collaboration and stakeholder management skills
• Automation-first mindset
• Continuous improvement and operational excellence focus

Skill Set

Must-Have Skills

Platform Engineering

• Red Hat OpenShift (OCP)
• Kubernetes administration and operations
• Linux administration
• Enterprise compute, storage, and networking
• Container platform management
• Production platform operations

Automation & DevOps

• Ansible
• Terraform
• Infrastructure-as-Code (IaC)
• Git/GitHub
• CI/CD pipelines
• Python and/or Bash scripting

Operations & Reliability

• Production support
• Monitoring and alerting
• Incident, Problem, and Change Management
• Root Cause Analysis (RCA)
• Disaster Recovery concepts
• Runbook development

Observability & Capacity Management

• Prometheus
• Grafana
• Splunk or equivalent monitoring platforms
• Capacity planning and forecasting
• Utilization reporting
• Dashboard development
• SLA/SLO reporting

Security & Governance

• RBAC and IAM
• Kubernetes/OpenShift security
• Secrets management
• Vulnerability management
• Security and compliance controls
• Enterprise governance processes

Customer Enablement

• Customer onboarding
• Technical discovery and requirements gathering
• Technical documentation
• Cross-functional collaboration
• Customer-facing engineering support

Should-Have Skills

AI & GPU Platforms

• OpenShift AI
• NVIDIA GPU technologies
• GPU workload onboarding
• AI/ML platform operations
• LLM and GenAI environments
• Model training and inference platforms
• GPU sizing and capacity planning

Advanced Automation

• GitOps (ArgoCD)
• API integration
• Workflow automation
• Self-service platform development
• ServiceNow integration

Enterprise Integration

• Active Directory integration
• Enterprise networking
• Enterprise storage platforms
• Certificate management
• GitHub Enterprise
• ServiceNow
• Confluence

Reporting & Analytics

• Executive dashboards
• Capacity analytics
• Consumption reporting
• Service health reporting
• Operational KPI reporting

Nice-to-Have Skills

NVIDIA & Accelerated Computing

• Nvidia Enterprise-Class GPU Experience
• NVIDIA AI Enterprise
• NVIDIA GPU Operator
• CUDA
• NCCL
• TensorRT
• NVIDIA DCGM

HPC & Large-Scale GPU Environments

• NVIDIA SuperPod experience
• HPC platforms
• Multi-cluster GPU environments
• Distributed training environments
• GPU fabric technologies

AI/ML Engineering

• MLOps
• Kubeflow
• KServe
• JupyterHub
• Model registries
• Deep Learning frameworks

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Platform Optimization

• GPU performance tuning
• GPU utilization optimization
• MIG (Multi-Instance GPU)
• Multi-tenant GPU architectures
• Cost optimization

Product & Service Management

• Service catalog development
• Platform product ownership
• Customer experience management
• Adoption analytics
• Roadmap planning
• Chargeback/showback models

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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