We use cookies for the best user experience on our website, including to personalize content & offerings, to provide social media features and to analyze traffic. By clicking “Accept All Cookies” you agree to our use of cookies. You can also manage your cookies by clicking on the "Cookie Preferences" and selecting the categories you would like to accept. For more information on how we use cookies please visit our and Modify Cookie Preferences
Reject All Cookies Accept All Cookies
Sr Solution Architect
India
Job Description
Sr Solution Architect
Noida, Uttar Pradesh
Job Summary
AI Architect The Role The AI Architect is responsible for defining, designing, and governing end-to-end artificial intelligence system architectures that align with business objectives, data strategies, and enterprise technology standards. This role provides technical leadership across AI solution lifecycles, from ideation to production, ensuring scalability, security, interoperability, and regulatory compliance. Competency Focus: AI Infrastructure and architecture design, cloud-native architecture, model governance, large-scale distributed systems Keywords: HPC Architect, HPC Architecture and System Design Responsibilities: Architect, deploy, and operate large-scale accelerator clusters, including NVIDIA DGX platforms, discrete NVIDIA and AMD GPUs, and TPU-based systems, ensuring high availability, scalability, and performance. Design and architect high-bandwidth, low-latency interconnect architectures, leveraging technologies such as InfiniBand, NVLink, and RoCE to support distributed AI training and inference workloads. Architect and design end-to-end AI training and inference platforms across on-premises and public cloud environments (Azure, AWS, GCP), incorporating elastic GPU resource orchestration and automated scaling mechanisms. Architect and engineer high-performance, large-scale data delivery and storage solutions, including petabyte-scale object storage and distributed file systems (e.g., VAST Data, WekaIO, DDN) optimized for AI and high-throughput workloads. Design and architect streaming and batch data ingestion pipelines optimized for AI/ML workflows, enabling effective data preprocessing, feature ingestion, and model training at scale. Architect and enforce secure GPU and compute isolation mechanisms, utilizing Kubernetes primitives such as RBAC, namespace isolation, and network policies to ensure multi-tenant security, governance, and compliance. Evaluate, benchmark, and qualify emerging AI hardware platforms and software frameworks, conducting performance, scalability, and cost-efficiency assessments to inform technology adoption decisions. Mentor engineers in AI infra best practices, observability, and capacity management Define the reference architecture for enterprise-wide AI adoption. Understanding on Sovereign AI Qualifications & Experience B. Tech/B.E. in Computer Science, Artificial Intelligence, Data Science, or related discipline; M.
Tech/MS preferred 12+ years in infrastructure/cloud engineering, with 4+ years focused purely on AI/ML systems. Deep expertise in GPU cluster management, distributed compute, and container orchestration. Hands-on experience with Kubernetes for AI workloads, GPU scheduling, and Ray/Kubeflow pipelines. Basic Understanding of LLM training, fine-tuning, quantization, and model optimization. Certifications Required: NVIDIA Certified Associate - AI Infrastructure NVIDIA Professional Certification for AI Networking and AI Infrastructure Certified Kubernetes Administrator Cloud Certification (AWS, Azure, GCP) How You'll Grow At HCLTech, we provide continuous opportunities for you to discover your spark and grow through meaningful, hands-on experiences. We encourage you to collaborate across diverse teams, engage in vendor interactions, and build strong professional networks that br
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
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.
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
Show More Details
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
Show More Details
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.
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.
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
Show More Details
Advertising Cookies Provider Description Enabled
Google Analytics
Google Analytics is a web analytics service offered by Google that tracks and reports website traffic.
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.
Consent to cookies from provider GoogleTagManager
LinkedIn
LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn.
📌 Sr Solution Architect (India)
🏢 HCLTech
📍 India