Delan Associates, Inc - 3.9 Las Vegas, NV Job Details Contract 4 hours ago Qualifications AI models Performance monitoring Pegasystems Stakeholder engagement Software engineering Continuous Delivery (CD) implementation Engineering development testing Application Architecture Design (Architecture design skill) Generative models AI platforms (beyond public GPTs) Scalable systems Quality assurance experience within IT Enterprise software systems development Prompt engineering Machine learning cloud services Model deployment Developing automated testing protocols Scalability Cloud Architecture Design (Architecture design skills) CRM system proficiency DevOps automation AI-driven automation BigQuery Design (software development lifecycle) Stakeholder relationship building Generative AI Stakeholder management
Full 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 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.
