Enterprise Architect – Agentic AI / CRM & BPM

Delan Associates, Inc•Las Vegas, NV

1d•Onsite

About The Position

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.

Requirements

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.
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+ 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.
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.
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.
Strong enterprise architecture and solution-design experience.
Excellent communication, problem-solving, stakeholder-management, and technical leadership skills.

Nice To Haves

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.

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.