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Strong Tier-1 brand, metro role, generalist senior title, and broad AI/backend requirements.
Requires enterprise SaaS, CRM/workplace domain knowledge and AI-native engineering, limiting cross-industry transferability.
Explicit 10+ years plus mandatory AI-native, architecture, and verification experience makes filters strict.
Own architecture and technical design of Workplace Service Delivery capabilities including employee & customer self-service, request workflows, and integrations across enterprise deployments.
Translate product requirements and ambiguous problem statements into precise, agent-ready specifications, driving AI coding agents to generate and verify software across multiple parallel workstreams.
Design and maintain verification harnesses and guardrails for AI-generated code ensuring correctness, security, performance, and reliability in production, including monitoring and mitigating AI-specific risks.
Minimum 8 years related experience with Bachelor's degree or equivalent; JD states 10+ years experience designing scalable enterprise software is expected.
Demonstrated experience delivering production systems using AI-native engineering methods (agentic coding, AI-assisted workflows, autonomous agents).
Proficiency in software architecture, system design, data modeling, testing, and AI/ML fundamentals relevant to production AI systems.
Not explicitly mentioned: specific notice period or strict location requirement.
Experienced in enterprise workflow domains like CRM, ITSM, workplace service delivery, with strong architectural judgment in AI-native environments.
Proven ability to decompose complex problems into precise, testable specs suitable for AI-driven development and to build automated verification frameworks.
Comfortable collaborating with cross-functional teams across time zones and influencing product vision with clear decisions under uncertainty.