Principal AI Platform Architect

Hybrid • Posted 2 hours ago • Updated 2 hours ago
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Job Details

Skills

  • Terraform
  • Oauth
  • Github
  • Cyber Security
  • architecture
  • google cloud
  • data modelling
  • Governance
  • Workflows
  • Enterprise Architecture
  • Infrastructure Management
  • Identity and Access Management
  • Artificial Intelligence
  • Systems Integration
  • Policy Enforcement
  • Solution Architecture
  • Chatbots
  • Large Language Models
  • Safety Principles
  • Application Programming Interfaces (APIs)
  • Azure Machine Learning
  • Role-Based Access Control
  • Cloud Computing
  • Continuous Integration
  • Blueprinting
  • High-Level Architecture
  • Network Topologies
  • Data Logging
  • Knowledge of Finance
  • Access Controls
  • Key Management
  • Production Preparation
  • Workflow Management Systems
  • Application Integration Architecture
  • Architecture Analysis
  • Google Cloud Functions
  • Technology Integration
  • Computing Platforms
  • Security Information and Event Management

Summary

Title Principal AI Platform Architect (Google Cloud Platform)

Duration: Long Term

Location: Remote across Canada/ USA

Role Summary

The Platform Architect is responsible for leading solution design across an AI-enabled Google Cloud Platform onboarding platform. This role drives end-to-end architecture decisions across platform services, infrastructure as code, AI integrations, and enterprise platform alignment. The Architect translates business and technical requirements into scalable, production-ready architectures, ensuring alignment with cloud best practices, security standards, and governance frameworks. They provide architectural guidance across all phases of the engagement and act as the primary design authority for the platform.

Key Responsibilities

  • Lead and govern end-to-end solution architecture across the platform, from initial design through production readiness.
  • Define the overall architecture for AI-enabled platform components, including integration patterns, service interactions, and workflow orchestration.
  • Establish high-level design patterns for AI integrations using Vertex AI and Google Cloud Platform services, ensuring scalable and maintainable implementations.
  • Define integration architecture across platform components, including event-driven and API-led communication patterns.
  • Design canonical data models and validation frameworks to ensure consistency and integrity across platform workflows.
  • Architect Google Cloud Platform-based infrastructure, including networking, security boundaries, and cloud-native deployment patterns (e.g., Cloud Run).
  • Define CI/CD and GitOps architecture using GitHub Actions and Terraform, including governance controls, policy enforcement, and release strategies.
  • Establish security architecture covering access control (RBAC), identity integration (SSO), secrets management, and enterprise guardrails.
  • Lead architecture reviews, validate implementation against design standards, and drive alignment based on pilot and stakeholder feedback.
  • Own and maintain architecture documentation aligned to enterprise standards and governance requirements.

Qualifications

Required

  • 8+ years in cloud/platform architecture, with 5+ years on Google Cloud Platform.
  • Deep expertise in AI/ML platform architecture and agentic workflow design.
  • Experience designing RAG pipelines and LLM-integrated enterprise systems.
  • Strong command of Google Cloud Platform networking, Cloud Run, IAM, and Organizational Policy.
  • Proven delivery in regulated or financial services enterprise environments.
  • Proficiency with Terraform at an enterprise IaC governance level.
  • Experience integrating with existing developer portals, chatbots, or service agent platforms.

Preferred

  • Google Cloud Platform Professional Cloud Architect certification.
  • Familiarity with enterprise SIEM integration and Cloud Logging architecture.
  • Experience with GitOps patterns and GitHub App/OAuth integration at scale.
  • Exposure to complex financial services platform environments.
  • Track record working alongside security, compliance, and governance teams on production readiness.

Key Deliverables Ownership

  • Solution architecture blueprints
  • Agent framework design
  • RAG knowledge layer design
  • Google Cloud Platform network topology
  • CI/CD pipeline architecture
  • Security & RBAC design
  • Production readiness plan
  • Governance documentation
  • Stakeholder design reviews
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91122967
  • Position Id: 2026-4284
  • Posted 2 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered  in  Delaware,  USA,  with  operations  in  Alberta,  Canada  under  the  brand  name AddSource.

We  specialize  in  connecting  top-tier  talent  with  leading organizations across diverse industry sectors.

With  a  strong  commitment  to  excellence,  our  mission  is  to deliver innovative, customized staffing solutions that empower clients  to  achieve  their  goals  while  helping  candidates advance their careers.

Contact the job poster
RK

Rahil Khan

Recruiter @ ADDSOURCE
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