Sr Staff AI Engineer Veza

The Access AI team is the customer-obsessed engineering group building the agentic AI and enterprise-scale harness platform that powers agents for Access Management across all Identity Security Products. We build AI as foundational platform infrastructure prioritizing robustness performance safety and real-world customer impact at scale. 

Types of problems youll get to work on 

You will architect build and operate production-grade agentic AI systemsautonomous agents that reason over enterprise data and execute mission-critical identity security actions at Fortune 500 scale. As a tier-one technical leader at the intersection of Agent research and large-scale backend systems you will shape the architectural patterns scalability guardrails and strategic vision for autonomous enterprise security.

Your core focus areas: 

• Agentic architecture. Design and ship multi-agent systems orchestration tool use planning loops memory and failure recovery that operate reliably in production not in notebooks. 
• Enterprise-grounded reasoning. Build agents that leverage Access Graph Access Reviews and permission and risk data to make decisions with context no frontier model has on its own. 
• Trust safety and governance. Own the guardrails: observability human-in-the-loop controls and compliance infrastructure that make autonomous systems safe to deploy at scale. 
• Retrieval and grounding. Work closely with our different product teams platform and graph teams to ensure agents are grounded in accurate low-latency retrieval RAG pipelines semantic search re-ranking and evaluation as a critical dependency of agentic quality. 
• Model integration and evaluation. Integrate frontier models evaluate trade-offs across cost latency and capability for production use cases. 
• Engineering leadership. Raise the technical bar through architecture decisions code reviews and coaching particularly on agentic design patterns and production AI discipline.

Qualifications :

Qualifications

To be successful in this role you have:

• 8 years of software engineering with strong fundamentals in data structures algorithms and distributed systems. 
• Hands-on depth designing shipping and operating agentic systems in production multi-agent orchestration tool calling planning loops memory and failure recovery. Not prototypes. 
• Production-grade Python. Systems language (Go Java or C) is a plus. 
• Working experience with frontier AI SDKs (Anthropic Google or OpenAI) prompt engineering structured outputs and model evaluation in production settings. 
• Familiarity with RAG and retrieval patterns in production vector stores hybrid search and retrieval evaluation metrics. 
• Track record of technical leadership: architecture ownership code quality bar-raising and mentoring engineers on production AI practices. 

Nice to Have 

• Deeper specialization in search and retrieval at scale or MLOps/model observability. 
• Published work or open-source contributions in agentic systems or retrieval. 
• Exposure to LLM fine-tuning or inference optimization in production.

Why join us 

Intelligence is commoditizing. Context and execution are not. With over 30 billion access permissions under management global enterprises in Fortune 500 trust Veza to manage privileged access monitoring non-human identity security access entitlement management and next-generation identity governance we are building the system that makes AI actually work inside the enterprise to secure Enterprises.

Redefining Agentic Identity Governance:

• Agentic Search: Provides natural language context-aware discovery capabilities across complex permission graphs enabling rapid identification of access risks and opportunities.
• Agentic Access Reviews: Streamlines certification processes by using autonomous agents to analyze risk and suggest remediation significantly reducing reviewer fatigue and preventing rubber-stamping by automating User Access Reviews.
• Agentic LCM: Orchestrates end-to-end lifecycle management workflows from provisioning to de-provisioning using intelligent agents to ensure consistency and compliance.
• Agentic Risk insights: Leverages AI to continuously analyze access patterns surfacing  risks before they escalate.
• Agentic NHI and Agent Security: Monitors and secures non-human identities and AI agents by auditing their permissions ownership and resources.

Autonomous Enterprise: Self-driving access management grounded on identity and permission data from different sources context no frontier lab can replicate  

For positions in this location we offer a base pay of $171900 - $300800 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

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Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin age disability gender identity  veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

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Remote Work :

Yes

Employment Type :

Full-time