Enterprise Architect – Agentic AI CRM & BPM

Position: Enterprise Architect Agentic AI / CRM & BPM 15yrs 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

/ 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.

/ 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.

& 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.

& 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.

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.

& 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.