Principal Architect - DEX & AI

• 10+ years in enterprise infrastructure, digital workplace, software/platform engineering or architecture, with evidence of both technical leadership and hands-on delivery.
• Strong coding and integration skills using Python, JavaScript/TypeScript or similar languages, REST APIs, authentication standards, and automation tools; comfortable testing and debugging solutions independently.
• Practical experience building AI-enabled applications, agentic workflows, or advanced automation; understanding of LLM APIs, knowledge retrieval, tool use, evaluation, and operational safeguards.
• Broad technical understanding of identity, SaaS collaboration, endpoint management, and ESM, including Google Workspace, Slack, Atlassian, and the integration patterns between them.
• Sound judgment about access controls, data protection, auditability, observability, software quality and service support in an enterprise environment.
• Ability to turn ambiguous needs into working solutions, lead cross-team design decisions and communicate trade-offs without relying on formal authority.

• Delivery experience with Gemini Enterprise, Google Cloud AI services, enterprise search, or comparable agent development platforms.
• Familiarity with SOC 2/ISO 27001 controls and secure engineering practices such as source control, code review, CI/CD, and secrets management.
• Experience building scalable, reusable integrations and working with engineering and business teams in a growing global organization.

Initial priorities: Establish shared standards across workplace platforms and deliver practical agentic AI and automation solutions, with clear security controls, testing, and operational ownership.

• Develop and maintain reference architecture for Digital Employee Experience (DEX), spanning collaboration, endpoint services, identity dependencies, enterprise service management (ESM), automation and AI.
• Architect and help implement integrations across Google Workspace, Slack, Atlassian, ESM and endpoint platforms; resolve cross-platform design challenges with the engineering and security teams.
• Establish reusable patterns for identity, APIs, access, observability, integration and automation; maintain clear technical standards and architecture decisions.
• Contribute to endpoint and workplace technology standards and practical IT policies in partnership with the support, security, and procurement teams.

• Personally design, build, and test agentic AI solutions, including enterprise knowledge retrieval, tool/API integrations, workflow orchestration, and approved actions; work with delivery teams to move useful solutions into production.
• Develop and troubleshoot agents, connectors, scripts and automation that work with Google Workspace, Slack, Atlassian, ESM and other approved business systems; deliver tested, documented and supportable code.
• Define and implement safeguards for agent permissions, data access, sensitive information, approval points, audit logging, and solution evaluation in partnership with Security, Legal, and service owners.
• Help select and implement Gemini Enterprise and other approved AI capabilities; assess technical feasibility, reliability, operating costs, and measurable employee benefit.

• Stay directly involved in solution development beyond AI when needed, including proof-of-concept builds, APIs, custom integrations, workflow automation, and complex production troubleshooting.
• Review high-risk changes, major incidents, and recurring employee experience issues; diagnose root causes and help engineers implement durable fixes.
• Lead design and code reviews, mentor engineers, and explain technical trade-offs to IT leadership, while enabling platform teams to operate solutions long term.