Senior Staff Software Engineer - AI/ML - Veza

ServiceNow, a leader in digital workflows, is seeking a Senior Staff Software Engineer for their AI/ML division at Veza. This role involves defining the architectural patterns and strategic direction for intelligent, autonomous agents while leading the design of advanced systems and collaborating with cross-functional teams.

Responsibilities:

• 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
• Technical Leadership: 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
• Cross-Functional Influence: 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

Requirements:

• 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