Principal Enterprise AI Agents Architect at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Information Technology, TechnologyIndustries

Requirements

15+ years in enterprise architecture, digital transformation, or intelligent automation, with at least 3+ years working in AI/GenAI
Bachelor’s degree in Computer Science or related field; Master’s or PhD preferred
Proven track record of reimagining enterprise processes and delivering measurable transformation through technology
Proficient in developing and testing AI agent solutions on a practical level and strategic scale
Strong understanding of LLMs, agent frameworks, and enterprise AI platforms
Excellent communication and stakeholder engagement skills, with ability to influence executives and align diverse teams
Experience integrating AI/GenAI solutions with enterprise platforms (e.g., ServiceNow, Salesforce, Workday, ERP, monitoring tools)
Ability to balance visionary strategy with practical execution
Python proficiency required

Responsibilities

Define and evolve the end-to-end architecture for enterprise AI agents that revolutionize IT, employee, and business workflows
Invent and prototype new projects using the latest agentic AI architectures, frameworks, and tools, validate ideas with teams, and scale successful solutions into enterprise deployments
Collaborate with customers to find opportunities, clarify challenges, and establish key performance indicators and success metrics that connect AI agents to quantifiable business results
Lead discovery and envisioning sessions with business and IT leaders to shape future-state processes powered by AI
Build hands-on proofs-of-concept to guide engineering teams toward scalable enterprise implementations
Architect integrations of AI agents with enterprise systems (e.g., IT Service Management, IT Operations Management, HR, finance, supply chain) for end-to-end automation
Establish frameworks for evaluation, observability, and security guardrails to ensure trust, compliance, and safe enterprise adoption
Mentor and inspire teams, driving adoption of AI agent best practices while shaping enterprise-wide roadmaps

Skills

Key technologies and capabilities for this role

PythonAI AgentsAgentic AIEnterprise ArchitecturePrototypingAI IntegrationObservabilitySecurity GuardrailsIT Service ManagementSupply Chain Automation

Questions & Answers

Common questions about this position

What experience level is required for this Principal Enterprise AI Agents Architect role?

The role requires 15+ years in enterprise architecture, digital transformation, or intelligent automation, with at least 3+ years working in AI/GenAI.

What are the key required skills for this position?

Key skills include Python proficiency, strong understanding of LLMs and agent frameworks, experience integrating AI solutions with enterprise platforms like ServiceNow and Salesforce, and excellent communication and stakeholder engagement skills.

What education is needed for this role?

A Bachelor’s degree in Computer Science or related field is required; Master’s or PhD preferred.

Is this position remote or office-based?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates stand out with a proven track record in crafting and implementing AI solutions for enterprises on a large scale.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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