Principal Architect, AI – Platform

🔥 15 hours ago

🇺🇸 United States – Remote

💵 $175k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 13%

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Logo of Council Capital

Council Capital

11 - 50 employees

Founded 2000

🏥 Healthcare

💸 Finance

Healthcare • Finance

Council Capital is a healthcare-focused private investment firm that partners with growth-stage, EBITDA-positive healthcare technology and healthcare services companies. They provide capital plus strategic, operational and network support through an experienced investment team, a Value Creation team, and a CEO Council of industry leaders (the CEO Council has personally invested more than $140M in the funds). Council Capital targets mission-driven, often founder-led or bootstrapped businesses with enterprise values typically up to $100M and emphasizes hands-on partnership to accelerate performance and growth.

📋 Description

• 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

• 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

• Bonus offered • Starting cash compensation at $175K

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