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Council Capital

Principal Architect, AI – Platform

Council Capital

. Provide architectural guidance across engineering teams to ensure clean service integration and prevent technical debt .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $175,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting SaaS products with cloud-native technologies, particularly on AWS and Azure, while integrating AI capabilities into platforms. Strong ability to lead cross-functional teams, establish architectural standards, and communicate effectively with stakeholders.

Highest-signal resume keywords
Cloud-Native ArchitectureAI IntegrationAWS and Azure ExperienceModel Context Protocol (MCP)Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SaaS ArchitectureAI Data GovernanceAPI DesignSystem Architecture DiagramsMulti-Tenant DesignBias-Testing MethodologiesIntegration PatternsData Flow ManagementExtensibility StandardsEmerging AI Patterns
Soft Skills
Decisive Decision-MakingStakeholder CommunicationCollaborationCoaching
Tools & Technologies
AWSAzureBedrock AgentCoreAzure AI Foundry
Industry Keywords
Technical DebtComplianceHealthcareRegulated Environment

Tech Stack

Tools & technologies
AWSAzureCloud

About the role

Key responsibilities & impact
  • Provide architectural guidance across engineering teams to ensure clean service integration and prevent technical debt
  • Lead the design and delivery of AI-augmented capabilities that improve auditor effectiveness, identify issues, and support better decisions
  • Collaborate across the organization to guide and support implementation of AI technologies and related processes
  • Produce a current-state platform architecture map within 1 month
  • Develop a prioritized AI integration roadmap within 2 months
  • Create a full architectural plan for the application and AI platform within 3 months
  • Lead, build, and ship an extensible AI-augmented MVP within the first 4 months
  • Collaborate with product owners, executive leadership, customers, engineering, data science, compliance, security, sales, and operations
  • Establish and maintain architectural standards, including API contracts, integration patterns, data flow, and security boundaries
  • Develop and maintain system architecture diagrams
  • Define reusable shared libraries, APIs, and data contracts
  • Define AI data governance policies with compliance and security
  • Evaluate AI tooling and vendors across AWS, Azure, and other options based on capability, cost, vendor lock-in, and operational complexity
  • Build evaluation and bias-testing methodologies
  • Recommend AI-enabled improvements to sales and operations processes
  • Coach engineers and provide technical leadership without initially having direct reports

Requirements

What you’ll need
  • 10+ years architecting SaaS products with cloud-native technologies
  • Extensive experience in cloud-native design on AWS and/or Azure
  • Proven track record integrating and building AI into platforms and applications beyond simple API usage
  • Hands-on familiarity with the Model Context Protocol (MCP), ideally with implementation experience
  • Hands-on experience with packaged agent runtimes such as Bedrock AgentCore or Azure AI Foundry
  • Experience designing logically multi-tenant SaaS platforms
  • Strong software fundamentals and ongoing learning of emerging AI patterns and protocols
  • Ability to communicate with internal and external stakeholders at the appropriate technical level
  • Sound judgment around extensibility, security, and deployment standards
  • Ability to move quickly, make decisive choices, and unite engineers
  • Nice to have: systems and storage architecture across multiple integrated platforms
  • Nice to have: healthcare or other regulated, high-compliance environment experience
  • Nice to have: experience standing up platforms for internal development teams

Benefits

Comp & perks
  • Bonus offered
  • Starting cash compensation at $175K