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Agentic AI Architect

Job

Cynet Systems

San Jose, CA (In Person)

$130,000 Salary, Full-Time

Posted 4 days ago (Updated 1 day ago) • Actively hiring

Expires 7/8/2026

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Job Description

We are looking for Agentic AI Architect for our client in San Jose, CA .
Job Title:
Agentic AI Architect Job Location:
San Jose, CA Job Type:
Contract Job Overview:
Pay Range:
$60/hr - $65/hr
Requirement/Must Have:
Minimum 10+ years of professional software engineering experience with a proven track record in full-stack or backend development. Deep practical knowledge of Java and Python, demonstrated through significant development experience. Hands-on experience with LLMs, specifically the Gemini family, and their application in agentic workflows, reasoning tasks, and tool-calling. Familiarity with Agent Development Kit (ADK), Model Context Protocol (MCP), and agent design in Vertex AI. Strong understanding of cloud-native development on Google Cloud Platform. Demonstrated ability to lead complex projects from requirement gathering to production release, acting as a strategic liaison between engineering and product stakeholders.
Responsibilities:
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. Develop and maintain Model Context Protocol (MCP) servers to connect agents to canonical internal documentation and tools, ensuring high-fidelity, grounded responses. Utilize the Google Antigravity platform and Agent Development Kit (ADK) to build context-aware assistants that integrate with existing IDEs and development tools. Lead the transition of AI Proof-of-Concept (POC) projects into production-ready services, collaborating with internal search and productivity teams. Propose and implement architectural changes to agentic systems to improve reasoning capabilities, reduce latency, and optimize token usage. Guide junior engineers in adopting 'vibe coding' practices and leveraging Gemini-powered agentic tools for effective software development. Nice to
Have:
Experience in Google-proprietary technologies such as Borg, Blaze, Piper, and Critique. Cloud-native development on Google Cloud Platform, including experience with Spanner, BigQuery, and Pub/Sub.