Senior Staff AI-Native Software Engineer – Agentic Systems

PLATO (Platform Engineering and AI Technology Organization) is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist AI Agents and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure prioritizing robustness performance safety and real-world customer impact at scale. 

Why Join Us 

Intelligence is commoditizing. Context and execution are not. With 85B workflows 6.5T transactions a year and 85% of the Fortune 500 on our platform we are building the system that makes AI actually work inside the enterprise Sense Decide Act Govern. 

You will help build production agentic AI at Fortune 500 scale with real customers real workflows and real consequences. Three problems sit at the frontier of what we do: 

• Autonomous Enterprise (Sense Decide Act). Self-driving business processes across IT HR CRM and finance not a foundation model making guesses. The CMDB Workflow Data Fabric and Knowledge Graph give our agents context no frontier lab can replicate. 
• Omni-channel AI Resolution (Act at Scale). Production AI across voice chat and computer-use agents plus generative UI. Live with multiple Fortune 500 customers today not demos. 
• AI Control Tower (Govern). Automated discovery and governance of AI assets identity entitlements audit-grade compliance. Every agentic system needs this layer; nobody else has it. 

Our blueprint: SENSE (any data) DECIDE (any AI model) ACT (any workflow) GOVERN (identity governance). You will build the substrate that connects all four. 

You identify the right problems before they become roadblocks design for production from day one innovate with discipline and own outcomes end-to-end with equal care for correctness latency cost and customer impact. 

What You Get to Do in This Role 

In this role you will design build and operate production-grade agentic AI systems embedded across ServiceNows platform bringing a consumer-tech mindset to enterprise problems: think in systems ship fast and move frontier AI into production at massive scale. 

• Agentic systems. Design and deploy autonomous agentic architectures multi-agent coordination tool use planning loops memory and failure recovery that operate reliably in production. 
• ServiceNow data moat. Orchestrate agentic workflows that reason over the CMDB Workflow Data Fabric and Knowledge Graph the enterprise context no frontier model can replicate. 
• Trust and safety. Build guardrails observability and human-in-the-loop controls that make agentic systems safe to run at Fortune 500 scale. 
• Search and retrieval. Contribute to the RAG and hybrid search stack ingestion embeddings lexical and semantic retrieval re-ranking grounding and evaluation tuned for precision and low latency across massive enterprise corpora. 
• Frontier model integration. Build with AI-native SDKs (Anthropic Google OpenAI) evaluate trade-offs and integrate models into the Sense Decide Act Govern platform. 
• Platform services. Architect AI-native services embedded into core product workflows so agentic and retrieval primitives are reusable across the platform AI as foundational infrastructure not bolt-on features. 
• Production AI operations. Partner with MLOps and platform teams on CI/CD for models evaluation harnesses and model observability drift quality latency and cost. 
• Engineering leadership. Raise the bar through code reviews architecture and coaching on agentic and production AI practices. 

Qualifications :

To be successful in this role you have:

• 8 years of software engineering experience with strong fundamentals in data structures algorithms software design and distributed systems. 
• Hands-on depth designing shipping and operating agentic systems in production multi-agent orchestration tool and function calling planning loops memory failure recovery and agent evaluation. 
• Proven track record shipping and operating AI systems in real-world production environments not prototypes. 
• Production-grade proficiency in Python; working knowledge of a systems language (Go Java or C) is a plus. 
• Demonstrated depth with AI-native SDKs (Anthropic Google or OpenAI) prompt engineering structured outputs and frontier-model evaluation patterns. 
• Working experience with RAG and retrieval in production vector databases (Pinecone Weaviate Milvus or pgvector) lexical search (Elasticsearch or OpenSearch) and evaluation discipline (NDCG MRR  faithfulness). 
• Nice to Have 
• Deeper specialization in any of: search and retrieval at scale distributed training and inference MLOps and model observability (MLflow Kubernetes Docker) or conversational and voice AI experiences. 
• CS or ML degree or equivalent with published work or open-source contributions in agentic systems retrieval or MLOps. 
• Hands-on experience with modern AI engineering tools (Cursor Claude Code Windsurf or equivalents) and exposure to LLM / SLM fine-tuning multimodal AI or inference optimization (Triton ONNX) in production. 

For positions in this location we offer a base pay of $201300 - $352300 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 creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status 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

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. . 

Remote Work :

No

Employment Type :

Full-time