Enterprise Architect - Agentic AI/CRM &BPM

· 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 Google Cloud Platform, 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.

We are looking for a senior Enterprise/AI Architect with hands-on experience designing Agentic AI / Generative AI solutions for CRM and BPM environments.

The candidate should have strong Google Cloud (Google Cloud Platform) AI/ML expertise, experience building autonomous or multi-agent systems, and the ability to integrate AI agents across the software development and testing lifecycle., 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.

1. Google Cloud Platform / Google AI

· Strong hands-on Google Cloud Platform experience, particularly within the AI/ML ecosystem.

· Experience with Vertex AI, BigQuery, Cloud Functions, and related Google Cloud Platform services.

· Experience building, deploying, or managing AI solutions on Google Cloud Platform.

1. 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.

1. 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.

1. 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.

1. 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.