Job description

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 you’ll get to work on You will architect, build, and operate production-grade agentic AI systems—autonomous 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 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 $171,900 - $300,800 , 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. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. 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 law. In 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 globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Requirements

Must-haves

Types of problems you’ll get to work on
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.
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.
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.
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.
Agentic Search: Provides natural language, context-aware discovery capabilities across complex permission graphs, enabling rapid identification of access risks and opportunities.
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,
Work Personas

Nice-to-haves

Production-grade Python. Systems language (Go, Java, or C++) is a plus.
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.

Application prep

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Platform: smartrecruiters
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Benefits

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Vision

401(K)