JD - Enterprise Architect:
Key Responsibilities:
· Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC
· Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle.
· Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.).
· Integrate agents with CI/CD pipelines, test management tools, and developer environments.
· Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability.
· Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals.
· Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring.
· Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering.
Required Qualifications
· Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems.
· Strong expertise in Google Cloud Platform and its AI/ML ecosystem.2+ years of experience in building AI/ML solutions, with at least 1+ year focused on generative / Agentic AI.
· 3+ years experience developing or working with CRM and BPM solutions
· Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes.
· Experience deploying and managing agents on AgentSpace or similar platforms.Excellent problem-solving, communication, and leadership skills
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