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Enterprise Architect – Agentic AI / CRM / BPM

Sincera Technologies, Inc.Las Vegas, NV🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

Shape the future of AI-driven enterprise solutions by architecting cutting-edge Agentic AI and Google Cloud integrations within a hybrid environment. If you are a visionary architect with a passion for generative AI and a knack for CRM/BPM transformation, this role offers incredible growth and impact. Apply today to lead innovative projects at Sincera Technologies!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Las Vegas, NV, United States
Posted
4 weeks ago
SeleniumBigQueryGenerative AIGoogle CloudJUnitTestNG

Job Description

Role: Enterprise Architect – Agentic AI / CRM / BPM
Location: Las vegas, NV Hybrid
Fulltime Only
 
Role Overview:
Seeking an Enterprise Architect with strong Agentic AI and Google Cloud experience to design and implement AI-driven solutions supporting CRM and BPM transformation. The role focuses on architecting autonomous agents, AI pipelines, and integrating AI capabilities into enterprise platforms.
Key Responsibilities:
  • Architect Agentic AI solutions across CRM and BPM environments.
  • Design AI workflows from requirements through development, deployment, and operations.
  • Develop and optimize AI pipelines using Google Cloud services including Vertex AI, BigQuery, and Cloud Functions.
  • Build and manage autonomous AI agents capable of reasoning and collaboration.
  • Integrate AI agents with CI/CD pipelines, testing tools, and developer environments.
  • Support deployment and lifecycle management through AgentSpace or similar platforms.
  • Define AI governance, safety, monitoring, and performance standards.
Required Skills:
  • Experience as AI Architect, ML Engineer, or similar role focused on AI/ML solutions.
  • Strong Google Cloud AI/ML ecosystem experience.
  • 2+ years building AI/ML solutions.
  • 1+ year hands-on experience with Generative AI / Agentic AI.
  • 3+ years experience with CRM and BPM platforms.
  • Experience with software testing tools (Selenium, TestNG, JUnit).
  • Experience deploying and managing AI agents using AgentSpace or similar platforms.
  • Strong communication and leadership skills.

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