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Open nowPosted 10 days ago

Enterprise Architect – Agentic AI / CRM & BPM

Delan Associates, Inc451 open roles

Where
Las Vegas, Nevada, United States
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Your applicationOpen nowEnterprise Architect – Agentic AI / CRM & BPMDelan Associates, Inc · Las Vegas, Nevada, United States

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The clock on this job

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  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 10 days ago

The posting

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.

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