Role Description The Enterprise Architect, AI and Platform Engineering is responsible for defining, governing, and evolving EDETEK’s end-to-end enterprise architecture across AI, data, platform engineering, and product ecosystems. This role provides architectural leadership and technical direction to ensure that all platforms, products, and shared services align with business strategy, regulatory requirements, and long-term scalability goals. This individual will serve as the architectural authority across AI, cloud, data, and application domains, ensuring coherence across product lines while enabling innovation and rapid delivery. The ideal candidate brings strong experience in enterprise and solution architecture within regulated life sciences environments, with hands-on exposure to AI-enabled platforms and cloud-native systems. Responsibilities - Enterprise Architecture Strategy and Governance - Define and maintain the enterprise architecture vision across applications, platforms, data, and AI capabilities. - Establish architectural principles, standards, and reference architectures that guide AI and platform engineering initiatives. - Ensure alignment between business strategy, product roadmaps, and technology investments. - Lead architectural governance, reviewing designs for compliance, scalability, security, and maintainability. - AI and Platform Architecture Oversight - Provide architectural oversight for AI platforms, data pipelines, and machine learning lifecycle components. - Define target architectures for AI enablement, including data ingestion, feature management, model training, inference, deployment, and monitoring. - Partner with AI, data science, and platform engineering leaders to ensure consistency across MLOps, data platforms, and shared services. - Guide adoption of modern architectural patterns including microservices, event-driven systems, service mesh, and API-first platforms. - Cloud, Data, and Integration Architecture - Define cloud architecture standards for AWS-based SaaS platforms, including networking, identity, access management, security, resiliency, and disaster recovery. - Architect enterprise-scale data platforms supporting analytics, reporting, and AI workloads. - Establish integration and interoperability patterns across internal platforms, partner systems, and customer environments. - Ensure architectural decisions balance scalability, performance, cost optimization, and operational excellence. - Product and Engineering Alignment - Partner closely with Product Management, Platform Engineering, and Delivery teams to translate product requirements into scalable, reusable architectures. - Ensure architectural consistency and reuse across multiple products and shared services. - Support solution architecture for strategic customer initiatives and complex enterprise deployments. - Influence build versus buy decisions for platforms, tools, cloud services, and AI capabilities. - Compliance, Security, and Quality Architecture - Ensure enterprise architectures comply with regulatory and quality standards including 21 CFR Part 11, GxP, HIPAA where applicable, and global data privacy requirements. - Embed security, auditability, validation, and traceability principles into architectural standards and solution designs. - Support responsible AI practices by ensuring governance, explainability, and model traceability are addressed at the architectural level. - Work closely with security, QA, and compliance leaders to maintain audit-ready platforms. - Technology Roadmapping and Thought Leadership - Maintain multi-year enterprise architecture roadmaps aligned with EDETEK’s growth and product strategy. - Evaluate emerging technologies across AI, cloud, data platforms, and developer tooling for relevance, risk, and ROI. - Act as a trusted architectural advisor to executive leadership and senior stakeholders. - Mentor enterprise, solution, and platform architects across the organization. Qualifications - 12 plus years of experience in enterprise architecture, solution architecture, or large-scale platform architecture roles. - Strong experience in Life Sciences, particularly Clinical Development, R&D, or regulated healthcare and clinical data environments. - Proven expertise in designing and governing cloud-native architectures on AWS at enterprise scale. - Experience architecting AI-enabled, data-intensive, or analytics-driven platforms deployed in production. - Strong understanding of distributed systems, integration patterns, data architecture, and security architecture. - Experience working with product and engineering teams operating in agile delivery models. - Bachelor's or Master's degree in computer science, Engineering, or a related field. Preferred Qualifications - AWS Advanced AI and general certifications. - Experience defining and governing MLOps and AI platform architectures. - Familiarity with clinical data standards such as CDISC and regulated software validation practices. - Hands-on technical background with technologies such as Python, Java, .NET, Spark, PostgreSQL, and AWS-native services. - Experience with enterprise integration platforms, API management, and event streaming technologies. - Prior experience serving as an architectural review board member or design authority. Benefits - Choice of comprehensive Medical, Vision and Dental Insurance plans. - Paid vacation time and sick days. - Corporate holidays annually. - Participation in the 401K Plan. - Comprehensive perks and discount programs for AAA, wholesale, insurance, Rx, fitness, pets, entertainment, etc. - Health Advocate and Employee Assistance Program.

• Build AI voice agent solutions within the IntelePeer SmartFlow platform — configuring conversational flows, NLU intent models, business rule logic, slot-filling patterns, and multi-turn dialogue structures from approved design specifications. • Translate workflow design documents produced by the Healthcare AI Workflow Solutions team into precise, testable agent configurations that faithfully implement the intended customer experience. • Identify and resolve ambiguities in design specifications before build begins — escalating design gaps to the Director and Workflow Solutions team rather than making undocumented interpretation calls independently. • Leverage AI-assisted development tools to accelerate build velocity, generate configuration drafts, and identify coverage gaps in conversational flows. • Build and maintain real-time integrations between AI agents and healthcare data systems — including EHR/PM platforms such as Dentrix, Dentrix Ascend, Epic, and athenahealth — enabling agents to retrieve and act on live patient and scheduling data. • Implement API integrations following IntelePeer's standards for authentication, error handling, retry logic, and data transformation — ensuring integrations are robust, well-documented, and maintainable. • Test integrations under realistic data conditions including edge cases, missing data states, API latency, and failure scenarios — validating that fallback behavior is safe and patient-appropriate. • Conduct thorough self-testing of all AI agent builds before advancing to formal QA — including functional testing of all defined flows, boundary condition testing, integration validation, and end-to-end scenario testing. • Collaborate with QA Engineers to support test case development, reproduce defects, and validate fixes — treating QA feedback as a quality partnership rather than a handoff. • Maintain accurate build documentation — including configuration change logs, integration specs, and known limitations — so QA and Customer Success always have a current picture of what was built and why. • Actively contribute to the team's testing frameworks and best practices, helping improve the efficiency and coverage of quality processes over time.

• Identify areas where AI can be implemented to gain efficiencies and reduce costs across the organization • Develop and integrate AI-driven technical solutions to realize identified benefits • Ensure all AI implementations adhere to six AI Principles: Purposeful, Effective and Safe, Secure and Private, Fair and Equitable, Transparent and Explainable, and Accountable and Monitored • Collaborate with cross-functional teams to implement AI technologies in various aspects of operations and maintenance processes • Provide expertise in predictive maintenance, automated scheduling, resource allocation, and data analytics for optimizing operational efficiency • Create automated reporting and compliance tracking systems using AI technologies • Prepare annual AI efficiency reports detailing deployed technologies, achieved efficiencies, and projected improvements

Aledade is recruiting for 2026 Summer Interns! Interns ​receive​ guidance​ ​from​ senior​ ​leaders​ and​ ​take​ ​part​ ​in​ ​substantive, hands-on​ ​projects​ ​that​ ​foster​ an understanding​ ​of​ ​overall​ ​operations​ ​at​ ​Aledade​ ​and​ ​the​ ​function​ ​of our​ ​complex​ ​healthcare​ system​ ​in​ ​general.​ This internship will begin on June 1st, 2026, and last for 10 weeks until August 7th, 2026. The objective of this AI Researcher internship is to research, build, and prototype an AI reasoning agent that processes ambient visit audio and translates it into an "Intelligent Care Handoff." The intern will design a system to surface specific clinical artifacts directly within the Aledade EHR Overlay for human-in-the-loop (HITL) approval. The internship has a duration of 3 to 6 months, starting in the Summer of 2026. Primary Duties - Multi-Audience NLP Synthesis (30%): Build a reasoning engine that ingests ambient visit audio/transcripts and generates three distinct outputs from a single conversation. These outputs include a Specialist Referral Justification, Care Management Tasks, and a Patient Action Plan. - Decoupled UI Integration (25%): Stage these generated artifacts in the existing Aledade Overlay "Magic Draft" UI as simple "Click-to-Copy" or "Click-to-Route" modules, avoiding dependencies on active EHR DOM manipulation. - Automated Clinical Evaluation (25%): Implement LLM evaluation pipelines (e.g., LLM-as-a-judge) to assess the accuracy of the Patient Action Plan and ensure the Referral Justification captures the correct clinical context. - Deploy & Measure Potential ROI (20%): Ship the alpha prototype to a controlled pilot cohort or simulated environment. Measure potential reductions in post-visit documentation time, artifact accuracy, and the shift in physician task management load. Minimum Qualifications - Education: Currently pursuing a Master’s or PhD in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Health Informatics, or a closely related discipline. - Programming: Proficiency in Python (for AI/backend logic) and modern frontend frameworks (e.g., React, TypeScript, or JavaScript) for UI prototyping. - AI/LLM Experience: Hands-on experience working with Large Language Models (e.g., OpenAI API, Anthropic Claude, LangChain) and a strong grasp of advanced prompt engineering techniques. - Systems Design: Ability to build and connect APIs, managing the flow of data from raw audio/text input to structured, actionable outputs. Preferred Knowledge, Skills, or Abilities - Advanced AI Architectures: Experience designing multi-agent systems, multi-modal reasoning pipelines, and automated LLM evaluation frameworks (e.g., LLM-as-a-judge) to ensure output safety and accuracy. - Healthcare Domain Expertise: Familiarity with Value-Based Care (VBC) models, clinical documentation practices, and post-visit administrative workflows (e.g., care management tasking, specialist referrals). - AI-Assisted Engineering: Demonstrated experience utilizing AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate standard UI and full-stack implementation. - HCI & Product Sense: Ability to design intuitive, decoupled human-in-the-loop (HITL) interfaces that fit seamlessly into existing user workflows without causing alert fatigue. - Analytical & Soft Skills: Strong problem-solving skills with the ability to measure project ROI (e.g., time saved, accuracy metrics) and effectively communicate complex AI concepts to non-technical clinical stakeholders. Physical Requirements Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required. Who We Are: Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants