Principal Enterprise AI Agents Architect

Nvidia • Santa Clara, CA

83d • $272,000 - $425,500 • Hybrid

About The Position

Join the Enterprise AI team in NVIDIA IT to drive large-scale process transformation with AI agents. Redesign processes to improve efficiency in employee productivity, IT systems, and supply chain operations through new AI projects. You will work hands-on to prototype with NVIDIA's own Agentic AI platform, building secure, scalable, and trustworthy AI agents that integrate into enterprise systems. In this role, you will partner with stakeholders to frame opportunities, align on KPIs, and lead teams from experimentation to enterprise adoption. This is an outstanding opportunity to merge forward-thinking leadership with practical implementation within one of the top AI companies globally. Come onboard to influence the progress of autonomous AI by driving enterprise change, AI creativity, and collaborating effectively!

Requirements

• 15+ years in enterprise architecture, digital transformation, or intelligent automation, with at least 3+ years working in AI/Gen.
• 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.

Nice To Haves

• Proven track record in crafting and implementing AI solutions for enterprises on a large scale.
• Programming language proficiency in Python, Agentic AI frameworks such as Langchain, Langgraph, CrewAI, hands-on familiarity with LLM models, deep-research models, planning and reasoning frameworks.
• Deep expertise in agent orchestration, reasoning models, and multi-agent communication frameworks.
• Experience in defining and implementing evaluation metrics for AI agents.
• Strong background in enterprise compliance, governance, and AI risk management.
• Recognized thought leadership in AI/GenAI or enterprise transformation (e.g., open-source contributions, papers, patents, talks, blogs).

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. Python proficiency required.
• 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.

Benefits

• Equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees