Senior AI-Native Software Engineer – Agentic Systems

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.

In this role, you will design, build, and operate production-grade agentic AI systems embedded across Service Now’s 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.

• Service Now 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.

• 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 Open Search), and evaluation discipline (NDCG, MRR, recall@k, 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.

We offer a base pay of $201,300 - $352,300
, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive OTE incentive compensation structure. Notice 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…