Enterprise Architect – Agentic AI / CRM & BPM

Delan Associates, Inc; Las Vegas (NV); On-site; USD 180,000 - 260,000; Full time

Job summary

Delan Associates, Inc. seeks a senior Enterprise/AI Architect with hands-on experience in Agentic AI and Generative AI for CRM and BPM contexts. You will design across the SDLC, build autonomous AI agents, and integrate AI with CI/CD and QA tooling.

The role emphasizes deep GCP expertise (Vertex AI, BigQuery) and leadership to guide engineering teams while ensuring governance, security, and scalable AI patterns.

Qualifications

• Expert AI architect with hands-on AI/ML and agentic AI experience.
• 2+ years in AI/ML, including 1+ year Generative AI.
• Experience designing AI agents, autonomous workflows, or multi-agent systems.
• Strong understanding of LLMs, prompt engineering, tool calls, and agent orchestration.
• GCP AI/ML ecosystem expertise (Vertex AI, BigQuery, Cloud Functions).
• CRM and BPM domain experience (3+ years).
• Testing lifecycle knowledge with QA automation tools (Selenium, TestNG, JUnit).
• Experience deploying agents with orchestration platforms (Google AgentSpace).
• Excellent leadership, communication, and stakeholder management.

Responsibilities

• Architect and design Agentic AI solutions for CRM and BPM across the SDLC.
• Lead development of autonomous AI agents capable of reasoning and task execution.
• Build AI/ML pipelines using GCP tools and Vertex AI.
• Integrate AI agents with CI/CD, test management, and developer tools.
• Deploy and orchestrate agents using Google AgentSpace or similar.
• Design multi-agent workflows and patterns for communication, scalability, monitoring.
• Collaborate with QA, DevOps, Product Engineering, and business stakeholders.
• Establish AI safety, governance, interpretability, observability, and security standards.
• Evaluate emerging AI technologies and provide architecture guidance.

Skills

Agentic AI

GCP AI/ML

CRM & BPM

Architecture & Leadership

SDLC & QA integration

Tools

Vertex AI

BigQuery

Cloud Functions

Selenium

TestNG

JUnit

CI/CD pipelines

Google AgentSpace

Job description

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 experience, 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.