AI Solution Architect II
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 30, 2026.
Job Summary
Role Summary We are seeking a senior Lead Architect to serve as the CTO Office technical leader for NVIDIA AI Factory and Enterprise AI Infrastructure initiatives. This individual will be the primary technical authority in customer and NVIDIA engagements, capable of leading discussions with CTOs, CIOs, CISOs, AI leaders, and executive stakeholders.The role will focus on designing and scaling AI Factory environments, GPU infrastructure platforms, sovereign AI initiatives, and enterprise AI deployment architectures while helping shape HCLTech's NVIDIA strategy and technical roadmap.
Key Responsibilities
Key ResponsibilitiesTechnical Leadership & Client Engagement Act as the senior technical advisor in strategic client and NVIDIA engagements.Lead architecture discussions with customer executives and technical stakeholders.Support major pursuits by defining AI infrastructure strategy and solution direction.Represent HCLTech in executive briefings, workshops, and industry forums.AI Factory & Solution Architecture Architect end-to-end NVIDIA AI Factory solutions supporting model training, fine-tuning, inference, and enterprise AI deployment.Design scalable and secure AI environments leveraging NVIDIA DGX, HGX, NIM, NeMo, AI Enterprise, and cloud-native platforms.Develop reference architectures, technical proposals, and solution blueprints for large-scale AI transformation programs.Model Customization & Training Design fine-tuning, distillation, post-training, alignment, and domain adaptation strategies.Lead customer engagements around enterprise model development and model modernization.Define reusable approaches for industry-specific model customization.Infrastructure & Platform Strategy Define architectures spanning GPU infrastructure, storage, networking, platform engineering, Kubernetes, MLOps/LLMOps, security, and governance.Design hybrid and multi-cloud AI platforms across Azure, AWS, GCP, and private infrastructure.Guide AI platform operating models covering performance, scalability, observability, security, and FinOps.Practice Development & Innovation Drive the technical roadmap for HCLTech's NVIDIA AI Infrastructure and AI Factory practice.Develop reusable accelerators, reference architectures, AI Factory offerings, and sovereign AI solutions.Mentor architects and engineers while leading enablement and thought leadership initiatives.Delivery Governance Provide architecture oversight for strategic AI infrastructure programs.Ensure solutions align with NVIDIA best practices and enterprise standards.Support troubleshooting and resolution of complex architectural challenges.
Skill Requirements
Experience 15+ years of experience in enterprise architecture, cloud, infrastructure, HPC, AI/ML platforms, or related domains.Experience as a Chief Architect, Principal Architect, Distinguished Engineer, or equivalent senior technical leader.Proven success leading large-scale AI, cloud, data, or infrastructure transformation programs.Technical Expertise Deep expertise in:NVIDIA DGX, HGX, CUDA, AI Enterprise, NIM, NeMo, Triton, and AI Factory architectures.GPU infrastructure, distributed AI training, inference platforms, and enterprise AI deployments.Azure, AWS, GCP, Kubernetes, OpenShift, platform engineering, and cloud-native architectures.MLOps, LLMOps, AI security, governance, observability, and infrastructure operations.
Other Requirements
Leadership & Communication Strong executive presence with experience engaging customer CTOs, CIOs, CISOs, and NVIDIA leadership.Ability to translate complex technical architectures into business outcomes.Proven track record leading global technical teams, influencing stakeholders, and mentoring talent. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field.NVIDIA, cloud, or enterprise architecture certifications are highly desirable.