Description

• 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 Primary Skill Google Cloud services (Vertex AI, Big Query, Cloud Functions, etc.). AI SDLC AI Best Practices Communication

Key Skills

Education

Bachelor's degree