Job Description

Salary: $272,000 - 425,500 per year Requirements:

• Bachelors degree in Computer Science or related field (or equivalent experience); Masters or PhD preferred.
• 15+ years of proven experience in software architecture, systems design, or enterprise platform engineering.
• Extensive knowledge in architecting large-scale distributed systems with an emphasis on reliability, performance, and security.
• Demonstrated expertise in AI/ML systems, generative AI, or agentic AI frameworks.
• Familiarity with large language models, RAG pipelines, and orchestration frameworks (e.g., ReAct, LangChain, AutoGPT-like flows).
• Experience integrating enterprise platforms (e.g., ERP, CRM, ITSM) using APIs, data connectors, or custom services.
• Practical experience in developing AI agents, frameworks, and tooling, including setting architectural and coding standards.
• Strong understanding of security, governance, and compliance for AI in enterprise settings.
• Excellent collaboration abilities and a knack for influencing cross-functional stakeholders while building trusted relationships.
• Capable of articulating complex architectural concepts clearly to inspire confidence in both technical and business audiences.

• Define and refine the architecture for NVIDIAs Enterprise AI Platform, incorporating frameworks for agent orchestration, multi-agent coordination, RAG, deployment, monitoring, and lifecycle management.
• Design and facilitate data flywheels that enhance the continuous improvement of AI agents via evaluation, feedback, and iterative loops.
• Collaborate with engineering, product, and research teams to shape the platform strategy and roadmaps while assessing LLMs, agentic frameworks, and NVIDIAs own technologies like NeMo and AIQ.
• Ensure seamless integration with enterprise data sources and tools (e.g., ServiceNow, Salesforce, SAP, Workday, GDrive, SharePoint, Confluence), maintaining a strong focus on content security.
• Drive architectural choices across various deployment models (on-prem, cloud, hybrid, containerized) to deliver scalable, dependable, and efficient solutions.
• Lead design reviews, produce technical documentation, and mentor engineers in architectural principles and code development practices.
• Advocate for observability, monitoring, versioning, and telemetry to maintain trustworthy and auditable AI agents.
• Promote enterprise adoption of the platform by partnering with stakeholders across IT, chip design, supply chain, sales, finance, and HR, and act as a reference adopter providing feedback to enhance NVIDIAs ecosystem.

• AI
• Architect
• Cloud
• Confluence
• CRM
• ERP
• ITSM
• React
• SAP
• Salesforce
• Security
• ServiceNow
• SharePoint
• Kubernetes
• Python

More:

We are part of the Enterprise AI & Automation team within NVIDIA IT, leading the charge to architect the future of agentic AI at scale. Our Enterprise AI Platform empowers AI agents to enhance employee productivity and drive significant business impact. As a group, we are committed to designing, promoting, and implementing robust architectural foundations that ensure our solutions are trusted, scalable, and innovative. Were proud to be recognized as one of the technology industrys most sought-after employers, filled with forward-thinking and creative individuals. If you have a passion for making an impact and shaping the landscape of enterprise AI, we would love for you to join our team!

last updated 2 week of 2026

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