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Gemini Architect

1 month, 3 weeks ago
United States
Full-time
Senior
Solutions Architect
Software Development
GCP LLM Python Salesforce
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66degrees

66degrees

66degrees: Google Cloud Premier Partner shaping the Future of Work with AI and data solutions.

IT Services
251-1K
View All Jobs 17

Description

  • Architect end-to-end, scalable, secure, and performant Generative AI solutions using Gemini Enterprise.
  • Design complex multi-agent workflows and determine when to use the no-code workbench versus custom Agent Development Kit (ADK) solutions.
  • Design RAG-based data grounding architectures that securely connect models to enterprise data sources such as BigQuery and Salesforce.
  • Architect security and governance frameworks, including data residency, access control, and agent monitoring.
  • Serve as the lead technical advisor to C-level and IT stakeholders, defining strategic value, ROI, and the technical roadmap for Gemini Enterprise adoption.
  • Facilitate client workshops for requirements gathering, solution validation, and UAT.
  • Lead hands-on development of prototypes and MVPs to validate architecture and demonstrate business value.
  • Create architectural documents, design specifications, and implementation roadmaps for delivery teams.
  • Develop integration strategies to embed Gemini across client technology stacks, including Google Workspace and core business applications.
  • Collaborate with delivery, engineering, and sales teams to define scope, identify opportunities, and evolve the Gemini Enterprise offering.

Requirements

  • 6+ years of experience in Solutions Architecture, Cloud Architecture, or Senior Technical Consulting with a focus on AI/ML or large-scale enterprise platforms.
  • Hands-on architectural experience with Gemini or Gemini Enterprise, including gems, agentic workflows, data grounding strategies, and security/governance controls.
  • Ability to analyze complex business problems and translate them into robust, scalable, and secure technical architectures.
  • Strong understanding of the Google Workspace environment, including Admin, Security, and APIs.
  • Experience with Large Language Models, RAG techniques, prompt engineering, and API-first integration patterns.
  • Proficiency with cloud architecture, preferably Google Cloud, and data platforms such as BigQuery.
  • Experience with at least one scripting language, such as Python.
  • Exceptional communication and presentation skills for both executive and technical audiences.
  • Proven experience leading technical delivery and managing client expectations in a consulting environment.
  • Bachelor's degree in Computer Science, Engineering, or a related technical or quantitative field.
  • Google Cloud Professional Certification preferred, such as Professional Cloud Architect, Machine Learning Engineer, or Professional Collaboration Engineer.

Interested in this position?

Apply directly on the company website

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