Agentic AI Architect

Role Summary

We are seeking a highly experienced Senior Agentic AI Developer and this role focuses on the development and product ionization of autonomous, task-oriented AI agents designed to optimize internal engineering workflows, automate complex problem-solving, and enhance platform efficiency.

Required Qualifications


•

Experience:



• Minimum 10 years of professional software engineering experience with a proven track record in full-stack or backend development.

• Core Technical Stack:

• Deep practical knowledge of Java and Python, demonstrated through significant development experience.


• Generative AI Expertise:

• Hands-on experience with LLMs, specifically the Gemini family , and their application in agentic workflows, reasoning tasks, and tool-calling.

• Agentic Frameworks:

• Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI.

• Cloud

Infrastructure:

• Strong understanding of cloud-native development on GCP

• Leadership:

• Demonstrated ability to lead complex projects from requirement gathering to production release, acting as a strategic liaison between engineering and product stakeholders.

Addition Skills (Good to Have)

• Experience in Google-proprietary technologies such as Borg, Blaze, Piper, and Critique.

• Cloud-native development on GCP, including experience with Spanner, Big Query, and Pub/Sub.

Key Responsibilities


• Agentic Workflow Design:

• Architect and orchestrate autonomous agents capable of planning, executing, and verifying complex engineering tasks such as code generation, unit test case creation, and automated bug triaging.


• Platform Integration:

• Develop and maintain Model Context Protocol (MCP) servers to connect agents to canonical internal documentation and tools, ensuring high-fidelity, grounded responses.


• Tooling & Automation:

• Utilize the Google Antigravity platform and Agent Development Kit (ADK) to build context-aware assistants that integrate with existing IDEs and development tools.


• Product ionization:

• Lead the transition of AI Proof-of-Concept (POC) projects into production-ready services, collaborating with Moma and other internal search and productivity teams.


• Architectural Leadership:

• Propose and implement architectural changes to agentic systems to improve reasoning capabilities, reduce latency, and optimize token usage.


• Technical Mentorship:

• Guide junior engineers in adopting "vibe coding" practices and leveraging Gemini-powered agentic tools for effective software development.