Enterprise Architect – Agentic AI (Full Time)

Job Description:

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.

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 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.

Required Qualifications – Must Have

Agentic / Generative AIProven 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.Google Cloud Platform / Google AIStrong 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.CRM & BPM3+ 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.Testing & SDLCStrong 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.Agent Deployment / OrchestrationExperience deploying and managing agents using Google AgentSpace or a comparable agent orchestration/agent platform.Understanding of agent lifecycle management, communication, scalability, monitoring, and governance.Architecture & LeadershipStrong 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.