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ServiceNow Himalayas · Posted yesterday

Senior Staff Software Engineer - AI/ML - Veza

USD 171900-300800 Full time Remote

Senior AI Software Engineer Sr. Staff AI Engineer Sr. Staff Machine Learning Engineer Senior Staff Machine Learning Engineer
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Indexed description

Role Overview

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.

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.

Why It Might Be a Fit

You will define the architectural patterns, scalability guardrails, and strategic direction for how intelligent, autonomous agents reason, decide, and secure the modern enterprise. You will 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.

Requirements

  • 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)
  • 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

Benefits

  • health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • matching donations
  • flexible time away plan
  • family leave programs

Originally posted on Himalayas

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