Principal Architect, AI – Platform

Council Capital

. Provide architectural guidance across engineering teams .

Posted 9/29/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in architecting SaaS products with cloud-native technologies, particularly on AWS and Azure, while integrating AI capabilities into platforms. Possesses strong communication skills to effectively engage with diverse stakeholders and ensure compliance with architectural standards.

Highest-signal resume keywords

Cloud-Native ArchitectureAI IntegrationAWS and Azure ExpertiseModel Context Protocol (MCP)SaaS Platform Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architecting SaaS ProductsAI-Augmented CapabilitiesSystem Architecture DiagramsData Governance PoliciesAPI ContractsIntegration PatternsMulti-Tenant SaaS DesignBias-Testing MethodologiesExtensibility and Security StandardsCloud-Native Design

Soft Skills

Effective CommunicationDecisive Decision-MakingCollaborationCoaching and Mentoring

Tools & Technologies

AWSAzureBedrock AgentCoreAzure AI Foundry

Industry Keywords

Healthcare ComplianceHigh-Compliance EnvironmentsOperational EfficiencyFraud Prevention

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Provide architectural guidance across engineering teams
Design and deliver AI-augmented capabilities that improve auditor effectiveness, operational efficiency, and payment integrity and fraud, waste, and abuse decisions
Produce a current-state architecture map within the first month
Develop a prioritized AI integration roadmap within the first two months
Create a full architectural plan for the application and AI platform within the first three months
Lead, build, and ship an initial modular, extensible AI-augmented MVP within the first four months
Collaborate with product owners, executive leadership, customers, engineering, data science, compliance, security, sales, and operations
Define and maintain architectural standards, including API contracts, integration patterns, data flow, and security boundaries
Develop and maintain system architecture diagrams
Define reusable internal software assets, shared libraries, APIs, and data contracts
Define AI data governance policies with compliance and security
Evaluate engineering and AI tooling and vendors, including AWS, Azure, and alternatives
Build evaluation and bias-testing methodologies
Recommend ways sales and operations can use AI to augment their processes
Establish standards and coach engineers; review designs and provide architecture recommendations

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 of integrating and building AI into platforms and applications, beyond simple API usage
Hands-on familiarity with the Model Context Protocol (MCP); implementation experience ideally
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 effectively with internal and external stakeholders at the appropriate technical level
Sound judgment regarding extensibility, security, and sane deployment
Ability to move quickly, make decisive choices, and unite engineers
Experience with systems and storage architecture across multiple integrated platforms (nice to have)
Experience in healthcare or other regulated, high-compliance environments (nice to have)
Experience standing up a platform quickly for internal development teams (nice to have)
Authorization to work in the United States
No visa sponsorship available