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Senior Technical Systems AI Architect – Agentic AI

NVIDIA

Software and Technology Jobs

Senior Technical Systems AI Architect – Agentic AI

full-timePosted: Oct 15, 2025

Job Description

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 AI Technical architect in Operations, you will design, evangelize, and implement the architectural foundations. You will guide the vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, orchestration, integration, security, and lifecycle management of AI agents, 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 Systems architecture, AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.What you will be doing:Define and architect AI agents for Supply Chain use cases, including frameworks for agent orchestration, 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 solutionsPartner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s own NeMo technologiesEnsure 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 mentor engineers, data scientists and solution architects 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 degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred.12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security.Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows).Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards.Solid understanding of security, governance, and compliance for AI in enterprise contexts.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 NeMo, NeMo 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!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 42,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI agent designintermediate
  • AI agent deploymentintermediate
  • AI agent orchestrationintermediate
  • Multi-agent coordinationintermediate
  • RAGintermediate
  • Lifecycle managementintermediate
  • Proof of concepts developmentintermediate
  • LLM evaluationintermediate
  • Agentic frameworksintermediate
  • NVIDIA NeMo technologiesintermediate
  • Enterprise IT integrationintermediate
  • Operations data sources integrationintermediate
  • Content securityintermediate
  • Deployment models (on-prem, cloud, hybrid, containerized)intermediate
  • Design reviewsintermediate
  • Technical documentationintermediate
  • Mentoring engineersintermediate
  • Mentoring data scientistsintermediate
  • Mentoring solution architectsintermediate
  • Architecture principlesintermediate
  • Code developmentintermediate
  • Observabilityintermediate
  • Monitoringintermediate
  • Versioningintermediate
  • Telemetryintermediate
  • Systems architectureintermediate
  • AI innovationintermediate
  • Supply Chain transformationintermediate
  • Decision logics codificationintermediate
  • Decision intelligenceintermediate

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NVIDIA logo

Senior Technical Systems AI Architect – Agentic AI

NVIDIA

Software and Technology Jobs

Senior Technical Systems AI Architect – Agentic AI

full-timePosted: Oct 15, 2025

Job Description

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 AI Technical architect in Operations, you will design, evangelize, and implement the architectural foundations. You will guide the vision for codifying our decision logics, decision intelligence, AI agent design, build and deployment, orchestration, integration, security, and lifecycle management of AI agents, 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 Systems architecture, AI innovation, and Supply Chain transformation, join us and make your mark on the future of agentic AI.What you will be doing:Define and architect AI agents for Supply Chain use cases, including frameworks for agent orchestration, 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 solutionsPartner with Enterprise IT engineering, product, and research teams while evaluating LLMs, agentic frameworks, and NVIDIA’s own NeMo technologiesEnsure 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 mentor engineers, data scientists and solution architects 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 degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred.12+ years of demonstrable experience in software architecture, systems design, or enterprise platform engineering.Deep expertise in architecting large-scale distributed systems with a focus on reliability, performance, and security.Demonstrate proficiency in AI/ML systems, generative AI, or agentic AI frameworks.Familiarity with large language models, RAG pipelines, orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows).Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) with APIs, data connectors, or custom services.Hands-on development of AI agents, frameworks, and tooling, including setting architectural and coding standards.Solid understanding of security, governance, and compliance for AI in enterprise contexts.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 NeMo, NeMo 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!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 42,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI agent designintermediate
  • AI agent deploymentintermediate
  • AI agent orchestrationintermediate
  • Multi-agent coordinationintermediate
  • RAGintermediate
  • Lifecycle managementintermediate
  • Proof of concepts developmentintermediate
  • LLM evaluationintermediate
  • Agentic frameworksintermediate
  • NVIDIA NeMo technologiesintermediate
  • Enterprise IT integrationintermediate
  • Operations data sources integrationintermediate
  • Content securityintermediate
  • Deployment models (on-prem, cloud, hybrid, containerized)intermediate
  • Design reviewsintermediate
  • Technical documentationintermediate
  • Mentoring engineersintermediate
  • Mentoring data scientistsintermediate
  • Mentoring solution architectsintermediate
  • Architecture principlesintermediate
  • Code developmentintermediate
  • Observabilityintermediate
  • Monitoringintermediate
  • Versioningintermediate
  • Telemetryintermediate
  • Systems architectureintermediate
  • AI innovationintermediate
  • Supply Chain transformationintermediate
  • Decision logics codificationintermediate
  • Decision intelligenceintermediate

Target Your Resume for "Senior Technical Systems AI Architect – Agentic AI" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Technical Systems AI Architect – Agentic AI. Takes only 15 seconds!

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Skills matching & gap analysis
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Check Your ATS Score for "Senior Technical Systems AI Architect – Agentic AI" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Technical Systems AI Architect – Agentic AI @ NVIDIA.

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10 Questions
~2 Minutes
Instant Score

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