About the job
About the Role
We are on the lookout for a highly skilled Senior Principal AI Architect to lead and architect the foundational elements of PubMatic's AI and Agentic Systems platform. This pivotal role will act as the foremost technical authority for AI architecture within the organization. Your focus will be on ensuring architectural integrity, system robustness, platform governance, and the sustained health of our AI infrastructure. You will collaborate closely with engineering, product, infrastructure, and business leaders to guarantee that our AI systems are scalable, reliable, cost-effective, and strategically aligned with our goals. A hands-on technical leadership style is essential, as you will be directly involved in key AI and agentic system design decisions.
What You'll Do
- AI & Agentic Systems Technical Architect
- Establish and uphold architecture-first principles for AI and agentic systems.
- Evaluate system designs and advise on suitable models, frameworks, and patterns.
- Convert non-functional requirements (latency, reliability, scalability, observability, cost) into actionable designs.
- Act as the ultimate technical escalation point for complex AI-related decisions.
- Guide the selection, evaluation, and deployment of models.
- AI / Agent Core Platform Architect
- Design the agent ecosystem as a unified platform.
- Define common agent patterns and orchestration frameworks.
- Set standards for autonomy levels, guardrails, and safety.
- Ensure consistency between agent behavior and business logic.
- Promote the standardization of evaluation and lifecycle management practices.
- Cross-Functional Technical Representative
- Serve as the technical voice in organization-wide AI discussions.
- Effectively communicate system capabilities and trade-offs.
- Translate customer and business needs into architectural solutions.
- Collaborate with product and business teams to develop scalable AI solutions.
- AI Evangelism & Organizational Maturity Leader
- Enhance AI maturity across the engineering team.
- Conduct knowledge-sharing sessions on emerging models and frameworks.
- Share insights gained from deployments.
- Influence AI engineering best practices across the organization.
