Full-Time

Principal Enterprise AI Architect

Enterprise AI Platform, Agentic AI

Posted on 2/21/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$272k - $431.3k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Hybrid

Category
AI & Machine Learning (1)
Required Skills
LLM
Sharepoint
Kubernetes
React.js
Workday HRIS
Machine Learning
SAP Products
Docker
RAG
Salesforce
Observability
REST APIs
LangChain
Confluence
Requirements
  • Bachelor’s degree in Computer Science or related field (or equivalent experience); Master’s or PhD preferred
  • 15+ 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
  • Proficiency in AI/ML systems, generative AI, or agentic AI frameworks
  • Familiarity with large language models, Retrieval-Augmented Generation 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
Responsibilities
  • Define and evolve the architecture for NVIDIA’s Enterprise AI Platform, including frameworks for agent orchestration, multi-agent coordination, Retrieval-Augmented Generation, deployment, monitoring, and life cycle management
  • Architect and enable data flywheels that drive continuous improvement of AI agents through evaluation, feedback, and iteration loops
  • Partner with engineering, product, and research teams to shape platform strategy and roadmaps, while evaluating large language models, agentic frameworks, and NVIDIA’s own NeMo and AIQ technologies
  • Ensure integration with enterprise data sources and tools (e.g., ServiceNow, Salesforce, SAP, Workday, Google Drive, SharePoint, Confluence) 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 in principles of architecture and code development
  • Champion observability, monitoring, versioning, and telemetry to ensure trustworthy and auditable AI agents
  • Influence enterprise adoption of the platform by partnering with stakeholders across IT, chip design, supply chain, sales, finance, and HR, and serve as a reference adopter providing feedback to strengthen NVIDIA’s ecosystem
Desired Qualifications
  • 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 information technology, supply chain, or finance domains

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Agentic AI adoption at scale drives major inflection in inference demand globally.
  • Jensen Huang projects $3T-$4T global AI factory buildout through 2030.
  • Data centre networking revenue surged 263% YoY to $10.98B in Q4 FY2026.

What critics are saying

  • Nemotron 3 open weights enable AMD and Intel to replicate NVIDIA's software moat.
  • Insider selling over three months signals executive doubt about sustaining 73% growth.
  • $30B OpenAI investment exposes NVIDIA to catastrophic losses from governance collapse.

What makes NVIDIA unique

  • Vera Rubin launching July 2026 reduces inference token costs tenfold versus Blackwell.
  • Nemotron 3 Nano Omni achieves 9x higher throughput on consumer hardware like RTX 4090.
  • Clear datacenter product roadmap extends through 2028 with Feynman arriving in 2028.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
Apr 14th, 2026
D-Wave CEO claims quantum computers could challenge Nvidia's AI dominance with superior power efficiency

D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.

Yahoo Finance
Apr 14th, 2026
Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.

Yahoo Finance
Apr 14th, 2026
Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.

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