AI Solution Architect II

Experience: 18 to Not Available years

Location: Noida, India

Skills: 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, NVIDIA Ecosystem, NVIDIA Metropolis, Cadence Certified Design Engineer

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

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 Metropolis

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

📌 AI Solution Architect II (Noida)
🏢 HCL Technologies
📍 Noida