Sr Solution Architect

Job description

The AI Platform Architect designs and governs centralized platforms that enable scalable, reusable, and secure AI development and operations across the enterprise. This role focuses on platform capabilities rather than individual solutions. Competency Focus: AI platform engineering, MLOps systems, cloud architecture, enterprise enablement Responsibilities: Architect and define enterprise‑scale, GPU‑accelerated AI platform reference architectures leveraging NVIDIA technologies, Kubernetes, and cloud‑native patterns to support high‑performance, scalable, and resilient AI, ML, and GenAI workloads aligned with strategic business use cases. Establish and govern cloud‑native AI platform standards using Kubernetes and container orchestration best practices, enabling consistent and secure deployment of NVIDIA GPU‑enabled AI workloads across private, public, and hybrid cloud environments, with a strong focus on scalability, reliability, and performance optimization. Define and institutionalize AI model lifecycle management best practices, including model versioning, validation, governance, controlled deployment, observability, and continuous monitoring on GPU‑backed AI platforms to ensure operational stability and auditability. Design and enforce containerization and deployment standards using Docker and Kubernetes for AI workloads, ensuring portability, reproducibility, efficient GPU utilization, and seamless CI/CD and MLOps integration across environments. Partner with Information Security, AI Legal, and Regulatory teams to define and enforce enterprise‑wide security and compliance standards for AI platforms, covering GPU workload isolation, identity and access management, data encryption, audit logging, and regulatory adherence. Monitor and analyze GPU, compute, memory, and storage utilization across AI platforms, recommend cost‑optimization and capacity‑planning strategies, and drive efficiency improvements for AI workloads in cloud and on‑prem environments. Provide regular platform health, performance, and cost reports to key stakeholders. Continuously evaluate and improve AI system performance, optimizing GPU utilization, inference latency, training throughput, and platform stability to ensure AI services deliver maximum efficiency, reliability, and business value. Serve as a key technical advisor to the AI CoE Lead and senior leadership, contributing to the definition of the organization’s AI platform vision and ensuring alignment between NVIDIA‑based AI infrastructure strategy and broader business goals. Collaborate with business and technical stakeholders to identify new AI platform opportunities, uncover high‑value use cases, and design innovative GPU‑accelerated AI solutions that improve operational efficiency, enhance customer experience, and support strategic objectives. Identify, assess, and mitigate architectural, operational, and performance risks associated with deploying and operating AI models on Kubernetes‑based, GPU‑enabled platforms, ensuring reliability and scalability at enterprise scale. Work closely with data scientists, MLOps engineers, network engineers, and application development teams to enable seamless integration of AI models, data pipelines, and GPU‑accelerated services into enterprise applications and workflows. Qualifications & Experience B. Tech/B.E. in Computer Science, Engineering, or Information Technology; Key Responsibilities 1. To provide an overview on high level implementation roadmaps for the proposed solutions. 2. To develop platform specific architecture solutions. 3. To act as an SME in guiding the team in delivering high quality delivery solutions adhering to client requirements/policies. 4. To effectively respond to RFPs. 5. To provide cost and pricing data, recovery principles, patterns and usage. 6. To effectively translate client requirements into technical solutions 7. To identity new opportunities for PaaS/SaaS Solutions across the cloud service providers space Skill Requirements null Other Requirements null Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Consent to all Functional Cookies Functional Cookies Provider Description Enabled Vimeo Vimeo is a video hosting, sharing, and services platform focused on the delivery of video. Opting out of Vimeo cookies will disable your ability to watch or interact with Vimeo videos. Cookie Policy Privacy Policy Terms and Conditions Consent to cookies from provider Vimeo YouTube YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like, and comment on videos. Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos. Cookie Policy Privacy Policy Terms and Conditions Consent to cookies from provider YouTube Advertising Cookies These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies. Consent to all Advertising Cookies Advertising Cookies Provider Description Enabled Google Analytics Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Cookie Information Privacy Policy Terms and Conditions Consent to cookies from provider GoogleAnalytics Google Tag Manager Google Tag Manager is a tag management system for conversion tracking, site analytics, remarketing, and more. Privacy Polic