What are the responsibilities and job description for the GCP AI Solution Architect position at Zion Cloud Solutions?
Job Title : GCP Solution Architect
Department : Google Cloud Practice
Location : Chicago Land
Reports To : Practice Lead, Google Cloud Practice
We are " Google Cloud Partners".
Job Overview
Zion Cloud Solutions (ZCS) is seeking a highly skilled Google Cloud (GCP) Solution Architect to lead the design, implementation, and management of cutting-edge Google Cloud solutions for our clients. This role combines technical expertise, strategic thinking, and a customer-focused mindset to deliver innovative solutions tailored to diverse industries, including Public Sector clients. The ideal candidate will have experience with AI / ML technologies, technical presales, and a proven ability to engage with C-level executives.
Key Responsibilities
- Solution Design and Architecture
- Design and document secure, scalable, and cost-efficient GCP architectures, including AI / ML and Big Data workloads.
- Develop solutions leveraging GCP services such as Vertex AI , BigQuery, Cloud Functions, and Anthos.
- Ensure alignment with industry standards, compliance requirements (e.g., HIPAA, NIST), and customer objectives.
- Implementation and Delivery
- Provide technical leadership for GCP implementation, including migrations, modernizations, and optimizations.
- Collaborate with engineering teams to deploy Infrastructure as Code (IaC) using Terraform or similar tools.
- Oversee the integration of GCP AI / ML models and workflows to meet specific client needs.
- Technical Pre-Sales
- Act as a trusted advisor during technical presales engagements, understanding client pain points and crafting tailored solutions.
- Develop and deliver presentations, demonstrations, and proofs of concept for GCP solutions.
- Assist in creating proposals and responding to RFPs / RFIs with a focus on technical capabilities.
- Client Engagement and Consulting
- Work with Public Sector and enterprise clients to gather requirements, develop strategies, and drive GCP adoption.
- Build and maintain relationships with key stakeholders, including C-level executives, to influence cloud strategies.
- Conduct workshops and training sessions to enable client teams.
- AI and Machine Learning Expertise
- Leverage GCP AI / ML services, such as Vertex AI and AutoML, to design intelligent solutions.
- Guide clients on integrating AI / ML into their business processes for automation and advanced analytics.
- Support the development and deployment of AI-driven solutions tailored to customer use cases.
- Leadership and Governance
- Define architectural standards, best practices, and governance frameworks for GCP solutions.
- Mentor team members and contribute to the growth of ZCS’s Google Cloud Practice.
- Ensure project delivery meets business objectives, timelines, and budget constraints.
Qualifications
Required
Preferred
Key Competencies
Why Join ZCS?