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Principal Architect, AI – Platform
Council Capital. Provide architectural guidance across engineering teams to ensure clean service integration and prevent technical debt .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureCloud
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