GCP Engineer

Required Skills & Experience

Required Qualifications

• Demonstrated experience architecting and implementing enterprise solutions using Google Cloud Platform (GCP).
• Proven experience designing and building Google Cloud environments, including cloud infrastructure, security, integrations, and enterprise architecture.
• Experience supporting enterprise AI initiatives and integrating AI technologies into existing technology ecosystems.
• Working knowledge of Google Cloud AI capabilities and familiarity with solutions such as Gemini Enterprise.
• Experience designing or supporting integrations across APIs, enterprise applications, and cloud-based platforms.
• Strong understanding of cloud governance, access management, security principles, and enterprise infrastructure.
• Experience establishing technical standards, architecture ownership, and operational responsibilities across multiple teams.
• Ability to evaluate an existing technology environment, identify gaps, and define a practical implementation roadmap.
• Proven ability to lead cross-functional technical initiatives and drive execution through teams with varying responsibilities. Strong communication, stakeholder management, and problem-solving skills.

Nice to Have Skills & Experience

Preferred Qualifications

• Experience implementing Gemini Enterprise or comparable enterprise AI solutions.
• Experience working in organizations with both Microsoft and Google technology ecosystems.
• Experience establishing enterprise AI governance frameworks and secure sandbox environments.
• Familiarity with hybrid cloud infrastructure and complex enterprise integration environments.
• Experience helping organizations establish or mature their Google Cloud architecture and operational practices.

Job Description

Position Overview We are seeking an experienced, hands-on Google Cloud Platform (GCP) Solutions Architect to lead the architecture, governance, and implementation of an evolving enterprise Google Cloud and AI environment. This individual will play a critical role in helping a large, established organization expand its AI capabilities, establish clear technical ownership, and build a scalable, secure, and well-governed cloud ecosystem. The organization currently operates primarily within a Microsoft-based enterprise environment while supporting Google Workspace and expanding its Google Cloud and AI capabilities. As business demand for AI solutions continues to grow, the organization needs an experienced architect who can assess its existing environment, define the future-state architecture, and guide the implementation of Google Cloud technologies, including Gemini Enterprise. This is not a purely advisory or administrative position. The ideal candidate is a proven technical architect who has successfully designed and implemented enterprise Google Cloud environments and can translate architectural strategy into actionable execution. The individual will serve as a technical leader, collaborating with infrastructure, security, networking, engineering, AI, and business teams to drive solutions forward.

Key Responsibilities

Google Cloud Architecture & Implementation

• Assess the existing Google Cloud environment, including current architecture, integrations, security considerations, and infrastructure dependencies.
• Define and guide the implementation of a scalable, secure, enterprise-ready Google Cloud architecture.
• Lead architectural planning and technical direction for Google Cloud and enterprise AI initiatives.
• Evaluate existing sandbox capabilities and help establish appropriate development, testing, and production environments.
• Collaborate with engineering and infrastructure teams to ensure Google Cloud solutions integrate effectively with existing enterprise technologies.
• Provide hands-on technical expertise and implementation support where needed. Enterprise AI Enablement & Integration
• Support the implementation and expansion of enterprise AI capabilities, including Gemini Enterprise.
• Partner with business stakeholders to understand AI requirements, use cases, and technical needs.
• Evaluate and guide the integration of additional AI tools and technologies within the enterprise environment.
• Design solutions that support integrations across APIs, applications, cloud services, and enterprise systems.
• Help establish a secure and scalable foundation for future AI adoption across business functions. Governance, Security & Technical Ownership
• Assess existing Google Cloud governance practices and identify gaps in ownership, access management, and operational accountability.
• Establish clear roles and responsibilities across IT teams, including developing a RACI framework for ongoing platform ownership and support.
• Partner with security, infrastructure, networking, and engineering teams to define appropriate governance and access controls.
• Help establish guidelines for sandbox, development, and production access.
• Recommend architectural standards and operating practices that support enterprise security, scalability, and long-term sustainability. Technical Leadership & Cross-Functional Collaboration
• Serve as the primary technical architect responsible for defining the vision and directing Google Cloud implementation efforts.
• Work closely with internal technical teams and business stakeholders to translate requirements into practical solutions.
• Coordinate work across multiple IT functions, ensuring clear responsibilities, accountability, and progress.
• Proactively identify technical challenges, dependencies, and risks, and drive them toward resolution.
• Communicate architectural recommendations and technical decisions to both technical and nontechnical stakeholders.
• Provide direction and technical oversight while leveraging the implementation capabilities of existing internal teams.