Computer Vision Architect

TCS IAE is redefining the future of industry by embedding intelligence across engineering, manufacturing, asset, and service value chains. Powered by AI, connected ecosystems, and autonomous operations, it transforms insights into action—creating self-optimising, resilient, and intelligent enterprises at scale. By seamlessly converging the physical and digital worlds, TCS IAE is enabling a new era of AI-first enterprises where systems continuously learn, adapt, and evolve—driving measurable outcomes and shaping how industries operate for the future.

Role: Computer vision Architect

Required Technical Skill Set: OpenCV , Image Processing ,Video Analytics , OCR Feature Engineering ,Computer Graphics fundamentals

Desired Experience Range: 14+

Location of Requirement: INDIA

Must-Have: Computer Vision Model, Gen AI

Good-to-Have: Vision Platforms

Role descriptions / Expectations from the Role

1 Solution Architecture

• Design end-to-end Computer Vision solutions from data acquisition to production deployment.
• Define scalable architectures for image, video, and multi-modal AI systems.
• Create high-level and low-level design documents.
• Define AI platform and MLOps architecture for Vision AI workloads.

2 AI Model Development

• Architect solutions using:
• Object Detection
• Image Classification
• Instance Segmentation
• Semantic Segmentation
• OCR & Document AI
• Anomaly Detection
• Human Pose Estimation
• Tracking & Re-identification
• Activity Recognition
• Visual Search

3 Advanced Vision AI

• Design solutions leveraging:
• Vision Language Models (VLM)
• Multimodal AI
• Generative AI for Images/Videos
• Vision-enabled Agents
• Video Understanding Models
• Knowledge Graph integration with Vision AI

4 Platform & Deployment

• Architect edge and cloud deployments.
• Design GPU infrastructure requirements.
• Build scalable inferencing pipelines.
• Define monitoring and governance frameworks

Link: https://www.tcs.com/careers/india/tcs-industrial-autonomy-engineering-careers