[Remote] Senior Staff Software Engineer - AI/ML - Veza
Note: The job is a remote job and is open to candidates in USA. ServiceNow is a company focused on identity security and is seeking a Senior Staff Software Engineer to serve as the technical visionary and architect for their multi-agent harness platform. The role involves defining architectural patterns for intelligent agents and leading the design and productionization of advanced systems.
Responsibilities
- Define the technical roadmap and architecture for Access AI Platform, ensuring high availability, low latency, and deterministic reliability
- Lead the design of advanced agent orchestration layers, multi-agent communication, and sophisticated context/memory management
- Transition cutting-edge LLM capabilities and MCP frameworks from experimental prototypes into hardened, enterprise-grade pipelines within our identity access infrastructure
- 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
- 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
Skills
- Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related technical field
- 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
- 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
- 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
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans
- Flexible spending accounts
- A 401(k) Plan with company match
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs
Company Overview
Company H1B Sponsorship