Senior Staff Software Engineer - AI

We are looking for an accomplished, deeply hands-on Senior Staff Engineer with 15+ years of software engineering experience and a focused track record in Agentic AI,Generative AI systems and Software/Data engineering. This is a senior individual contributor role that combines architectural leadership with direct execution — you will drive the design and delivery while simultaneously guiding and unblocking a team of Staff Engineers and Technical Leads.

The ideal candidate has independently driven 3–4 end-to-end AI implementations — from requirements gathering and solution design through to production deployment — and is equally comfortable whiteboarding complex multi-agent architectures and writing production-grade Python. You bring the experience to set the technical direction, the judgment to make critical architecture decisions, and the hands-on depth to get into the code when the team needs unblocking.

This role demands breadth and depth across the stack: you will architect scalable AI systems, build and orchestrate intelligent agents, embed robust agent governance frameworks, and establish the engineering standards that make those agents enterprise-ready for a secure and compliant financial platform.

Experience

• 15+ years of software engineering experience with broad distributed systems depth across enterprise platforms.
• 3–4 years of focused hands-on experience in Agentic AI and/or Generative AI systems — building, deploying, and operating multi-agent platforms at production scale.
• Demonstrated delivery of 3–4 full E2E AI projects from requirements through production deployment.
• Proven experience guiding and unblocking Staff Engineers and Technical Leads — setting architecture direction, reviewing designs, and stepping in hands-on when needed.
• Minimum 90% hands-on design and implementation — this is a Senior Staff Individual Contributor role with technical leadership responsibilities, not a management role.
• Experience architecting and deploying complex, production-grade systems at scale in regulated industries (FinTech, Financial Services, Healthcare) is strongly preferred.

Nice to Have

• Experience with Google Vertex AI Agent Builder or similar managed agent platforms.
• Hands-on experience with Temporal for durable workflow orchestration in FinTech or regulated environments.
• Deep GCP expertise: Vertex AI, GKE, Cloud Workflows, Pub/Sub, BigQuery — deployed in production.
• Familiarity with SOX, GDPR, or financial compliance audit requirements and how they constrain system design.
• Contributions to open-source AI/agent frameworks (LangChain, Temporal, etc.).
• Experience with multi-modal models (vision, audio, code generation).
• Published research, conference talks, or technical blog posts on agentic AI or AI governance topics.