Enterprise Architect - Agentic AI / CRM & BPM

Key Responsibilities: Architect and design Agentic AI solutions for CRM and BPM platforms across the SDLC — from requirements → backlog → development → testing → deployment. Design and lead development of autonomous AI agents capable of reasoning, decision-making, collaboration, and task execution across the software testing lifecycle. Build and optimize AI/ML pipelines using GCP, particularly Vertex AI, BigQuery, Cloud Functions, and related services. Integrate AI agents with CI/CD pipelines, test management tools, test automation frameworks, and developer environments. Deploy and orchestrate AI agents using Google AgentSpace or comparable agent orchestration platforms. Design multi-agent workflows and establish patterns for agent communication, lifecycle management, scalability, and monitoring. Work closely with QA, DevOps, Product Engineering, and business stakeholders to identify and implement AI-driven automation opportunities. Establish standards for AI safety, governance, interpretability, observability, security, and performance. Evaluate emerging technologies in LLMs, Generative AI, multi-agent systems, and autonomous software engineering. Provide architecture guidance, technical leadership, design documentation, and best practices to engineering teams.

Required Qualifications: Must Have 1. Agentic / Generative AI Proven experience as an AI Architect, ML Engineer, Solution Architect, or Enterprise Architect. 2+ years of hands-on AI/ML experience, including 1+ year focused on Generative AI / Agentic AI. Hands-on experience designing or implementing AI agents, autonomous workflows, or multi-agent systems. Strong understanding of LLMs, RAG, prompt engineering, tool/function calling, agent orchestration, and multi-agent architectures.2. GCP / Google AI Strong hands-on GCP experience, particularly within the AI/ML ecosystem. Experience with Vertex AI, BigQuery, Cloud Functions, and related GCP services. Experience building, deploying, or managing AI solutions on GCP.3. CRM & BPM 3+ years of hands-on experience developing or working with CRM and BPM solutions. Ability to understand and architect AI use cases within enterprise CRM/BPM workflows.4. Testing & SDLC Strong understanding of the software development and testing lifecycle. Experience with test automation frameworks/tools such as Selenium, TestNG, JUnit, or equivalent. Experience integrating AI agents into QA/testing and CI/CD processes.5. Agent Deployment / Orchestration Experience deploying and managing agents using Google AgentSpace or a comparable agent orchestration/agent platform. Understanding of agent lifecycle management, communication, scalability, monitoring, and governance.6. Architecture & Leadership Strong enterprise architecture and solution-design experience. Excellent communication, problem-solving, stakeholder-management, and technical leadership skills.

Nice to Have: Direct experience with Google AgentSpace. Experience with Gemini / Vertex AI Agent Builder / Agent Engine. Salesforce, Microsoft Dynamics, Pega, Appian, Camunda, or similar CRM/BPM platforms. Experience building AI-powered software testing or autonomous QA agents. Experience with AI governance, evaluation frameworks, safety, and responsible AI. Experience designing enterprise-scale multi-agent architectures.