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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Staff Software Engineer - AI/ML - Veza - **Company:** ServiceNow - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $171,900.0 - $300,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Software Quality, Code Review, Data Structures, Software Design Patterns, Distributed Systems, Python (Programming Language), Software Engineering, Systems Integration, Multi-Agent Systems, Prompt Engineering, Model Validation, Servicenow - **Published:** August 18, 2026 - **Apply:** https://dejobs.org/x/x/14EC9954FE654274AA677C94EB63BEF1/job/ ## About the Role * 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. ## Description * 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., 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 (https://careers.servicenow.com/life-at-servicenow#workpersonas) . 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., 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. ## Related Videos - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Phel, a native Lisp for PHP](https://www.wearedevelopers.com/videos/791-phel-a-native-lisp-for-php) - [Are Code Reviews Worth It? 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