GCP Solutions Architect

Role Responsibilities

Provide hands-on architectural leadership embedded within client teams, from discovery through delivery.
Design and implement enterprise-scale cloud architectures, including application infrastructure, integration strategies, and secure deployment patterns.
Guide engineering teams on technical trade-offs, architecture decisions, and best practices.
Develop cloud adoption roadmaps, including hybrid and migration strategies where applicable.
Architect and support highly distributed, scalable systems in cloud environments.
Act as a trusted advisor to senior stakeholders, translating complex technical topics into actionable recommendations.
Partner with cross-functional teams to proactively manage risks, dependencies, timelines, and technical blockers.
Support the design and deployment of AI-enabled and data-driven solutions on GCP.
Collaborate with delivery, engineering, and customer teams to ensure solutions align with security, compliance, and operational requirements.
Contribute to long-term technical strategy and architectural direction aligned with business objectives.

Must Have Qualifications

• United States citizenship with the ability to work from the United States, required to meet customer and compliance requirements.
• Ability to obtain a US Government Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.
• Google Cloud Professional Cloud Architect (PCA) certification required.
• 5+ years of experience in solution architecture, technical consulting, cloud engineering, or enterprise architecture.
• Strong hands-on experience with software development, including object-oriented programming (such as Python, Java, or C++).
• Promised experience designing and delivering enterprise cloud solutions.
• Hands-on experience with Google Cloud Platform (GCP), including services such as: IAM, Cloud Armor, Security Command Center, Chronicle.
• Strong understanding of cloud-native security principles, DevSecOps, and regulatory compliance, including frameworks such as GDPR and HIPAA.
• Hands-on experience with core GCP data services, including: BigQuery, including advanced SQL, performance tuning, and BigQuery ML, Dataflow / Apache Beam, including batch and streaming pipelines, Pub/Sub and event-driven architecture.
• Hands-on experience architecting and deploying AI solutions on GCP, including: Vertex AI for model deployment, fine-tuning, evaluation, and observability, Gemini models for prompt engineering, structured outputs, function/tool calling, and multimodal use cases, BigQuery and Cloud Storage as data and grounding sources for AI workloads, Cloud Run, Cloud Functions, and Pub/Sub for orchestration of AI and agentic services, Enterprise-grade agent platforms, including grounding on customer data, integrating tools/connectors, and secure deployment patterns.
• Demonstrated experience building AI-driven and agentic solutions in production, including: LLM application development, RAG architectures, Structured and unstructured data pipelines.
• Experience integrating AI systems with enterprise IT environments, including authenticated APIs, legacy data systems, and secure corporate infrastructure.
• Strong stakeholder management, written communication, and presentation skills.
• Bachelor’s degree or equivalent practical experience.
• Experience supporting public sector, government, education, or highly regulated environments.
• Experience with structured enterprise architecture practices, especially for hybrid cloud and on-premises-to-cloud migration roadmaps.
• Deep knowledge of cloud services across: Compute, Storage, Networking, Kubernetes and containerization.
• Experience with large-scale migrations, modernization efforts, or cloud transformation programs.
• Ability to engage effectively with both technical stakeholders and executive leaders.
• Familiarity with enterprise technology evaluation, governance, and solution planning processes.
• Strong curiosity and adaptability when working with emerging technologies, methodologies, and cloud-native solutions.

Nice To Have Qualifications

• Experience with structured enterprise architecture practices, especially for hybrid cloud and on-premises-to-cloud migration roadmaps.
• Deep knowledge of cloud services across: Compute, Storage, Networking, Kubernetes and containerization.
• Experience with large-scale migrations, modernization efforts, or cloud transformation programs.
• Ability to engage effectively with both technical stakeholders and executive leaders.
• Familiarity with enterprise technology evaluation, governance, and solution planning processes.
• Strong curiosity and adaptability when working with emerging technologies, methodologies, and cloud-native solutions.

Benefits

• This is a full time position based in the United States.
• The offered salary range is $150,000-$215,000 annually, depending on experience and location.
• Beyond a Competitive Compensation Package, We Offer Flexibility, with remote and hybrid work options (country-dependent).
• Career advancement, with international mobility and professional development programs.
• Learning and development, with access to cutting-edge tools, training and industry experts.
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts.
• Your benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.