Alliance Manager I

Experience: 15 to Not Available years

Location: Noida, India

Skills: NVIDIA, GPUs, Jetson, AI software SDKs, Azure, AWS, AI, ML, PyTorch, TensorFlow, ML Ops, cloud architectures, GCP AI services, edge devices, computer vision, edge AI

Job Summary
Role Summary: Asenior Lead Architectwho will function as the CTO for the Physical AI space and expert in NVIDIA. This is the “Tech Anchor” role, ensuring HCLTech can engage client CTOs/CISOs in deep technical discussions from the outset. The architect will design end-to-end solutions that combineNVIDIA technologies with HCL’s services and other partner tech (cloud, data, IoT),effectivelybridging multiple domains. This leader will also guide the practice’s technology roadmap and mentor the team on advanced AI topics.

Key Responsibilities
• Solution Architecture & Design: Lead the architecture of AI solutions for client engagements. This includes understanding requirements, selecting the rightNVIDIA platforms (e.g. GPUs, Jetson, AI software SDKs),and integrating with cloud services (Azure, AWS, etc.) and enterprise systems. Focus on “Physical AI” solutions – e.g. AI for autonomous machines, computer vision, digital twins – while also covering broader AI/ML architectures. Produce reference architectures and technical proposals for complex multi-million dollar solutions.

Skill Requirements
• Cross-Ecosystem Innovation: Work across technology domains and practices – collaborate with other HCLTech units (cloud, IoT, analytics) to develop cross cutting solutions that incorporate NVIDIA technology. For instance, create joint offerings (e.g. AI + 5G edge computing, AI in cybersecurity) to take to market. Stay updated on NVIDIA’s latest innovations (like world models, generative AI for robotics) and evaluate how to leverage them for clients.
• Practice Development:



Define the technical roadmap for the NVIDIA practice – identify capability gaps to fill (tools, labs, training), and guide investments in building IP or solution accelerators. Mentor and upskill team members on advanced AI topics; run internal workshops or tech talks. Represent HCLTech in technical forums or conferences (contributing to thought leadership).

Other Requirements
• Experience: 15+ years in technology/architecture roles withdeep expertisein AI/ML. A proven track record as a Chief Architect, Principal Engineer, or similar senior technical leader for complex solutions (ideally in areas like AI, analytics, or IoT). Experience working with global clients and leading architecture for large programs is required.
• Technical Expertise: Hands-on knowledge of NVIDIA AI technologies(GPUs, CUDA, TensorRT, NVIDIA AI frameworks) as well as broader AI ecosystem tools (PyTorch, TensorFlow, ML Ops platforms). Familiarity with robotics, computer vision, or edge AI (the core of “Physical AI”) is highly desirable. Also proficient in cloud architectures (AWS/Azure GCP AI services, edge devices) and data engineering. Able to quickly learn and work across recent emerging tech.
• Credibility & Communication: Excellent communication skills with the ability to engage atC-level discussing technology strategy and architecture. Demonstrated credibility in front of technical clients; possibly has industry recognition (publications, patents or speaking engagements in AI). Comfortable explaining complex AI concepts in business terms when needed.
• Leadership: Experience leadingcross-functional technical teamsor communities. Passion for mentoring and developing talent. Ability to drive consensus in a matrix environment andinfluence senior stakeholdersinternally and externally.
• Education: Advanced degree in Computer Science, Engineering or related field (MS/PhD preferred), with specialization in AI or related areas. Continuous learning mindset to stay at the cutting edge of tech.

📌 Alliance Manager I (Noida)
🏢 HCL Technologies
📍 Noida