NVIDIA_AI_Architect

Tata Consultancy Services Limited; Hyderabad, Pune District, Bengaluru; On-site; INR 3,500,000 - 5,000,000; Full time

Job summary

NVIDIA invites an experienced AI Architect to lead design and implementation of advanced AI solutions using NVIDIA technologies. The role focuses on GPU-accelerated architectures, enterprise-scale deployments, and collaboration with cross-functional teams in manufacturing, mobility, and autonomous systems.

Preferred location is Bangalore. Candidates should have deep expertise in AI/ML frameworks, CUDA, TensorRT, and Triton, with hands-on experience in DGX systems and edge-cloud deployments.

Qualifications

• Experience designing AI architectures for enterprise-scale projects.
• Skilled in GPU-accelerated deployment across edge and cloud.
• Collaborates effectively with data scientists and engineers.

Responsibilities

• Design scalable AI architectures using NVIDIA platforms (CUDA, TensorRT, Triton).
• Optimize deep learning models for GPU acceleration and deploy across edge and cloud.
• Integrate NVIDIA AI solutions with enterprise data platforms and IoT systems.
• Benchmark and fine-tune AI workloads for throughput and latency.
• Define AI strategy leveraging NVIDIA technologies for manufacturing, mobility, and autonomous systems.
• Collaborate with data scientists, software engineers, and stakeholders to deliver end-to-end AI solutions.
• Guide teams on best practices for GPU computing and accelerated computing.

Skills

AI/ML frameworks

GPU acceleration

Leadership

Cloud platforms

Problem solving

Communication

Tools

CUDA

TensorRT

Triton

NVIDIA DGX

Edge computing

Distributed systems

Job description

NVIDIA AI Architect

Role Overview

We are seeking an experienced NVIDIA AI Architect to lead the design and implementation of advanced AI solutions leveraging NVIDIA technologies. This role requires deep expertise in AI/ML frameworks, GPU acceleration, and high-performance computing, combined with strong architectural and leadership skills to drive innovation across enterprise AI initiatives.

Preferred location

Bangalore

Key Responsibilities

• Design and implement scalable AI architectures using NVIDIA platforms (CUDA, TensorRT, Triton Inference Server, DGX systems).
• Optimize deep learning models for GPU acceleration and deploy them efficiently across edge and cloud environments.
• Integrate NVIDIA AI solutions with enterprise data platforms, IoT systems, and digital manufacturing ecosystems.
• Benchmark and fine-tune AI workloads for maximum throughput and minimal latency using NVIDIA tools.
• Define AI strategy leveraging NVIDIA technologies for use cases in manufacturing, mobility, and autonomous systems.
• Collaborate with data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions.
• Guide teams on best practices for GPU computing, AI frameworks, and accelerated computing.

Required Skills & Qualifications

• Strong experience in AI/ML frameworks (TensorFlow, PyTorch) and NVIDIA toolkits (CUDA, TensorRT, Triton).
• Expertise in GPU architecture and parallel computing.
• Hands-on experience with NVIDIA DGX systems, CUDA programming, and accelerated inference pipelines.
• Knowledge of data engineering, MLOps, and cloud platforms (AWS, Azure, GCP).
• Proven track record in AI solution design and deployment for enterprise-scale projects.
• Excellent problem-solving and communication skills.

Preferred Qualifications

• NVIDIA certifications (e.g., NVIDIA AI Advisor, Deep Learning Institute courses).
• Experience in digital manufacturing, autonomous systems, or mobility solutions.
• Familiarity with edge AI deployment and real-time inference.

Why Join Us

Opportunity to work on cutting-edge AI solutions with NVIDIA technologies. Collaborate with global experts in AI, Data, and Digital Transformation. Drive innovation in next-generation manufacturing and mobility ecosystems.