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Senior Technical Systems AI Architect – Agentic AI

NVIDIA

Senior Technical Systems AI Architect – Agentic AI

NVIDIA

China, Shenzhen

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Top Tier compensation with equity

Health, dental, and vision coverage

Remote work flexibility

Learning and development stipend

Flexible PTO policy

Annual team offsites

Required Skills

SQL

PyTorch

TensorFlow

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to architect the future of agentic AI at scale. We Implement AI agents to transform employee productivity and accelerate business impact. As the senior systems architect in Operations, you implement our vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, integration, security, and lifecycle management, ensuring the AI Agents delivers value that are trusted, scalable, and innovative. This is a rare opportunity to define the AI agents for Supply Chain Operations inside one of the world’s most advanced AI companies. If you thrive at the intersection of AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.

What you will be doing:

  • Capture business requirements, translate requirements into functional design, user stories, technical design, drive end to end integration testing, support data set up and issue remediation during UAT, manage development team activities, develop hypercare support model

  • Define and architect AI agents for Supply Chain use cases, using the right frameworks, multi-agent coordination, RAG, deployment, monitoring, and life cycle management.

  • Be hands on in quick proof of concepts development to demonstrate technical feasibility and implement enterprise grade Agentic Supply Chain solutions

  • Partner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s own Ne Mo technologies.

  • Ensure integration with enterprise IT and Operations data sources and Industry’s best Agentic platforms with strong content security focus.

  • Drive architectural decisions across deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, reliable, and efficient solutions.

  • Lead design reviews, develop technical documentation, and guide developers in principles of architecture and code development.

  • Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents.

  • Influence Supply Chain Operations adoption of the platform by partnering with stakeholders across IT, supply chain and serve as a reference adopter providing feedback to strengthen NVIDIA’s ecosystem.

What we need to see:

  • Bachelor’s or Master’s degree in Computer Science or related field (or equivalent experience)

  • 8+ years of demonstrable experience in solutions design

  • Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.

  • Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., Re Act, Lang Chain, AutoGPT-like flows).

  • Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.

  • Technical solution design, Analytical skills, Technical and business process modeling

  • Excellent collaboration skills with the ability to influence cross-functional stakeholders and build trusted partnerships.

  • Ability to communicate complex architectural concepts clearly and inspire confidence across technical and business audiences.

Ways to stand out from the crowd:

  • Hands-on experience with containerized deployments, Kubernetes, and hybrid cloud/on-prem environments.

  • Prototyping skills in Python with ability to build proof-of-concept agent workflows.

  • Experience with NVIDIA AI technologies such as Ne Mo, Ne Mo Guardrails, AIQ, or GPU-optimized inference stacks.

  • Track record of publishing technical papers, architecture patterns, or thought leadership in AI systems.

  • Knowledge of observability tools, telemetry dashboards, and evaluation frameworks for AI agent performance as well as experience solving real-world problems with AI in supply chain domain.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape the agentic AI at scale for NVIDIA’s Supply Chain Operations, we want to hear from you. Apply today!

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

L3

L4

L5

L3 · Data Scientist IC2

0 reports

$177,542

total / year

Base

-

Stock

-

Bonus

-

$150,910

$204,174

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR