AI Solution Architect II

Job Summary

HCLTech is seeking a globally experienced engineering leader, AI innovator, and platform architect to lead the evolution of VisionX into an industry-leading Physical AI Intelligence Platform.

The selected candidate will serve as the Technology Champion for VisionX and will be responsible for defining platform strategy, AI architecture, research direction, engineering execution, ecosystem partnerships, and industry leadership.

The ideal candidate combines deep expertise in AI systems, Computer Vision, Agentic AI, Enterprise AI Platforms, Physical AI, and Distributed Systems with a proven track record of building large-scale enterprise platforms and high-performing engineering organizations.

This leader will play a critical role in establishing HCLTech as a recognized leader in Physical AI, Agentic AI, Autonomous Operations, and Enterprise AI Platforms.

Key Responsibilities

Platform Vision & Strategy Own the long-term evolution of VisionX as: Enterprise Physical AI Operating System Autonomous Operations Platform Multi-Agent Intelligence Platform Enterprise Perception Platform Video Intelligence Platform AI Decision Platform Responsibilities include: Platform roadmap Technology strategy Product engineering direction Ecosystem growth Platform differentiation AI & Physical AI Leadership Define the architecture and roadmap for: Computer Vision Object Detection Tracking Segmentation Activity Recognition Video Analytics Scene Understanding Video Intelligence Event Intelligence Video Search Video Understanding Multi-Camera Analytics Operational Intelligence Vision Language Models VLM Training VLM Fine-Tuning Vision Reasoning Multimodal Understanding Agentic AI Multi-Agent Systems Autonomous Workflows Planning & Reasoning Enterprise Agents Agent Orchestration Physical AI Perception Systems Edge Intelligence Autonomous Operations Human-in-the-Loop Systems Closed-Loop AI Systems Platform Architecture Leadership Own architecture across: AI Runtime Platform Agent Runtime Model Serving AI Orchestration AI Governance Enterprise Memory Systems Knowledge Graphs GraphRAG Vector Databases Enterprise Knowledge Platforms Event Intelligence Event Processing Event Correlation Operational Intelligence Edge AI Platforms Jetson Edge AI Distributed Inference AI at Scale Cloud Platforms Multi-Cloud AI Infrastructure AI Services Distributed Systems Establish engineering standards, reference architectures, governance, and reusable platform capabilities. Research & Innovation Leadership Lead innovation in: Physical AI Agentic AI Vision Foundation Models Vision Language Models Autonomous Systems Enterprise AI Platforms Multi-Agent Systems Responsibiliti

Skill Requirements

Education Preferred PhD in: Computer Science Artificial Intelligence Computer Vision Machine Learning Robotics Electrical Engineering Distributed Systems Cognitive Systems Computational Intelligence Alternate Qualification MS/MTech with: Distinguished engineering achievements Significant patents Publications Large-scale platform leadership Experience 18+ years industry experience 10+ years engineering leadership Experience leading global organizations Proven track record building enterprise AI platforms Experience managing multi-disciplinary engineering teams Mandatory Technical Expertise Candidate should possess deep expertise in at least four of the following: Computer Vision Detection Tracking Segmentation Action Recognition Video Analytics Generative AI LLMs Fine-Tuning RAG AI Agents Vision Language Models CLIP VILA LLaVA Florence Multimodal Systems Agentic AI Multi-Agent Systems Agent Frameworks Planning Systems Autonomous Workflows Knowledge Systems Knowledge Graphs GraphRAG Semantic Search Enterprise Memory Physical AI Robotics Autonomous Systems Edge Intelligence AI-driven Operations Preferred Skills NVIDIA Ecosystem (Strongly Preferred) NVIDIA Metrop

Other Requirements

1. Optional but valuable: Cadence Certified Design Engineer (CCDE) or equivalent EDA certification.