Position: Enterprise Architect – Agentic AI / CRM & BPM – 15+yrs overall experience
Location: Las Vegas, NV (On-site from day1)
Duration: Long term
Role Overview:
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 (GCP) 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 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.