Company Description Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem across users, groups, roles, policies, permissions, and resources providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance. Founded in 2020 and headquartered in Redwood City, California, Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza's AI-native Access Graph with ServiceNow's AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry. Job Description We are seeking a Senior Staff Software Engineer to serve as the technical visionary and architect for our multi-agent harness platform, and writing agents for our products. This is a high-leverage, tier-one leadership opportunity operating at the absolute frontier of Agent research and large-scale backend systems engineering. In this role, you won't just implement agents-you will define the architectural patterns, scalability guardrails, and strategic direction for how intelligent, autonomous agents reason, decide, and secure the modern enterprise. What You Will Do - Architect & Vision: Define the technical roadmap and architecture for Access AI Platform, ensuring high availability, low latency, and deterministic reliability. - System Design: Lead the design of advanced agent orchestration layers, multi-agent communication, and sophisticated context/memory management. - Productionize at Scale: Transition cutting-edge LLM capabilities and MCP frameworks from experimental prototypes into hardened, enterprise-grade pipelines within our identity access infrastructure. - Technical Leadership: Act as a force multiplier across the engineering organization. Define engineering excellence, establish robust test/evaluation frameworks for non-deterministic AI systems, and mentor senior and staff-level engineers. - Cross-Functional Influence: Partner closely with Product, Security, and Executive leadership to align technical investments with long-term business strategy, pioneering new capabilities from ideation to global deployment. Qualifications What You Bring - Education: Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field. - Experience: * 10+ years of professional software engineering experience, with a proven track record of technical leadership at a Staff or Senior Staff level. - 2+ years of hands-on experience in architectural design and production deployment of GenAI technologies, multi-agent systems, LLM orchestration frameworks (e.g., LangChain, AutoGen), or Model Context Protocols (MCP). - Technical Mastery: * Expert-level proficiency in Python and Golang (or Java), with deep expertise in distributed systems, microservices architectures, and high-throughput API design. - Deep understanding of Cloud Platforms (AWS, Azure, GCP) with experience designing or integrating with enterprise Identity and Access Management (IAM) environments and security fabrics. - Execution & Ownership: A strong sense of product ownership. You have a history of taking ambiguous, 0-to-1 AI initiatives and scaling them to 1-to-100 enterprise realities. - Communication: Exceptional communication skills with a demonstrated ability to distill complex AI reasoning and architectural trade-offs into clear, strategic narratives for both engineering teams and executive boardrooms. 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. Additional Information 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. 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Role Description We have got a contract opportunity for AI Lead / Lead GenAI Engineer (SAP FICO Functional Background) with one of our clients. The detail of the position is as given below. - Job Title: AI Lead / Lead GenAI Engineer (SAP FICO Functional Background) - Location: Torrance, CA (Remote) - Duration: 6+ Months We are looking for an AI Lead / GenAI Engineer with strong SAP FICO functional expertise to drive AI-powered solutions across finance processes. The role focuses on leveraging Generative AI, LLMs, and automation to optimize SAP FICO operations. Key Responsibilities: - Analyze SAP FICO processes (GL, AP, AR, CO) and identify AI use cases - Design and implement GenAI solutions (LLMs, Prompt Engineering, RAG) - Develop and implement RAG-based solutions using enterprise financial and SAP data - Lead POC development and scale solutions into production environments - Build POCs and scale to production environments - Collaborate with finance stakeholders to translate business requirements into AI-driven workflows and automation strategies - Drive automation in finance processes like reconciliation, reporting, and validation - Integrate AI solutions with SAP (S/4HANA/ECC) using APIs/OData/BTP Qualifications - Strong SAP FICO functional experience (S/4HANA/ECC) - Hands-on exposure to GenAI / LLMs / AI automation - Experience with cloud platforms (AWS/Azure) - Ability to bridge business (finance) and AI solutions

• responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems • collaborating and pairing with other product team members (UX, engineering, and product management) • documenting, reviewing, and ensuring all quality and change control standards are met • writing custom code or scripts to automate infrastructure, monitoring services, and test cases • configuring commercial off the shelf solutions to align with evolving business needs • creating meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • participating in learning activities around modern software design, machine learning, and development core practices • monitoring tools and participating in conversations to encourage collaboration across product teams

• Design, develop, and maintain AI-enabled applications and services using modern software engineering practices. • Build and optimize data pipelines and machine learning workflows that improve performance, reliability, and usability. • Collaborate with product and engineering partners to translate requirements into clear technical solutions. • Write clean, testable code and help establish engineering standards for performance, security, and maintainability. • Monitor deployed systems, troubleshoot issues, and iterate based on real-world feedback and metrics.