Required Qualifications:
• 10+ years of software engineering, platform engineering, architecture, or closely related experience.
• Experience operating at a Principal Engineer, Principal Architect, Staff+, or equivalent senior technical leadership level.
• Proven experience building, scaling, or leading enterprise software or data platforms.
• Strong software engineering foundation with architectural and systems-thinking depth.
• Demonstrated experience with agentic AI development, agent architecture, and agent optimization in real-world solutions.
• Strong understanding of agent ecosystems, orchestration patterns, platform tradeoffs, and enterprise adoption considerations.
• Hands-on experience delivering and supporting solutions in Google Cloud Platform production environments.
• Experience with enterprise data platforms, including data ingestion, data access, governance, and knowledge management patterns.
• Experience shaping product vision, defining technical strategy, and building cross-functional roadmaps.
• Ability to translate ambiguous business needs into clear technical direction and executable initiatives.
• Excellent communication, stakeholder management, prioritization, and influencing skills.
• Ability to engage credibly as a peer with architects, principal engineers, senior developers, business leaders, and executives.
Preferred Qualifications:
• Google Cloud certification, ideally Professional Cloud Architect, Professional Data Engineer, Professional Machine Learning Engineer, or another relevant professional-level credential.
• Working awareness of Google Agent Development Kit (ADK) concepts and the broader Google AI ecosystem. Deep ADK specialization is not required.
• Experience with BigQuery and modern cloud data platforms.
• Experience designing or supporting agent registries, agent orchestration frameworks, or multi-agent systems.
• Experience with knowledge graphs, knowledge catalogs, or enterprise knowledge platforms.
• Experience evaluating build-versus-buy decisions for AI platform capabilities.
• Experience driving adoption of enterprise AI-enabled products and services.
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