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

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. 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.
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.