Director, AI Engineering - Remote

About the role

The Director, AI Engineering role at Premise Health combines deep technical expertise in artificial intelligence, information security, cloud architecture, and enterprise systems with strong leadership capabilities to build and guide the organization's AI transformation. This role requires a visionary leader who can bridge the gap between business strategy and technical execution while ensuring security, compliance, scalability, and operational excellence across all AI initiatives.

Responsibilities

• Define and lead the enterprise AI architecture strategy for Premise Health, establishing architectural principles, standards, patterns, and best practices for AI/ML solutions across the organization.
• Design and architect secure, scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI technologies while ensuring alignment with business objectives.
• Establish and enforce information security architecture for all AI systems, including Identity and Access Management (IAM), computer-to-computer authentication mechanisms, API security, data protection, and compliance with healthcare regulations (HIPAA, HITECH).
• Manager the creation of reference architectures for AI-powered applications that serve as reusable templates and accelerate development across multiple teams and business units.
• Partner with business and IT leaders to make investment decisions that balance current operational demands with long-term strategic vision for AI capabilities and innovation.
• Architect cloud-native AI solutions on Azure, AWS, and other cloud platforms, establishing patterns for microservices, serverless computing, event-driven architectures, and containerization.
• Design and implement secure API gateway strategies for both public and private APIs, ensuring proper authentication, authorization, rate limiting, and monitoring across all AI services.
• Manage cross-functional collaboration efforts between data science, engineering, security, and operations teams to deliver integrated AI solutions that meet business requirements.
• Evaluate and recommend emerging AI technologies, frameworks, and platforms based on business value drivers, return on investment, and alignment with enterprise architecture standards.
• Develop and maintain technology roadmaps for AI capabilities, identifying opportunities for automation, process improvement, and innovation using artificial intelligence and machine learning.
• Architect healthcare-specific AI solutions with expertise in health data interchange standards (HL7, FHIR) and healthcare workflow automation using AI and RPA technologies.
• Establish governance frameworks for responsible AI, including ethical AI principles, bias detection and mitigation, model explainability, and compliance with regulatory requirements.
• Manage the architecture team for AI initiatives, including recruitment, development, mentoring, and performance management of architects and senior technical staff.
• Create and maintain comprehensive architectural documentation including solution architectures, technical specifications, integration patterns, security models, and decision records.
• Conduct architectural reviews and provide technical guidance to development teams working on AI-powered services, products, and platforms.
• Lead proof-of-concept and pilot initiatives to validate new AI technologies and architectural approaches before enterprise-wide adoption.
• Collaborate with information security teams to ensure all AI solutions meet security requirements for authentication, authorization, encryption, audit logging, and threat protection.
• Develop communication strategies and materials to evangelize AI architecture principles and best practices across the organization at all levels from technical teams to executive leadership.
• Advise executive leadership on AI strategy, technology options, risks, costs versus benefits, system impacts, and implementation priorities.
• Drive migration strategies to transition legacy systems to modern AI-enabled cloud-native architectures with minimal disruption to business operations.
• Establish practices for resource allocation, cost optimization, and performance monitoring for cloud-based AI solutions.
• Champion agile ways of working and modern development practices across AI engineering teams, including iterative development, continuous improvement, and DevOps culture.
• Ensure AI solutions are architected for high availability, disaster recovery, scalability, performance, and operational excellence.

Requirements

• Master's degree in Computer Science, Engineering, Information Systems, or related technical field required; or equivalent combination of education and experience.
• Advanced certifications in enterprise architecture frameworks (TOGAF, Zachman) strongly preferred.
• Cloud architecture certifications (Azure Solutions Architect Expert, AWS Certified Solutions Architect) strongly preferred.
• 10+ years of experience in information technology with at least 7 years in enterprise architecture, solutions architecture, or technical leadership roles required.
• 5+ years of experience in AI/ML architecture, including hands-on experience with Large Language Models, AI agents, RAG architectures, and AI application development required.
• 7+ years of experience in healthcare technology with deep understanding of health data standards (HL7, FHIR), healthcare workflows, and regulatory compliance (HIPAA, HITECH) required.
• Proven experience as Principal Architect, Principal Information Security Architect, or equivalent senior technical leadership role required.
• 5+ years of experience leading architecture teams and managing diverse technical teams required.
• Experience managing organizational change across multiple teams or departments, ensuring adoption and alignment.
• Extensive experience architecting and implementing cloud-native applications on Azure and/or AWS, including migration strategies from on-premises to cloud-first organizations required.
• Strong background in information security architecture, including IAM solutions, authentication and authorization mechanisms (OAuth, SAML, OpenID Connect), API security, and security infrastructure required.

Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or related technical field required; or equivalent combination of education and experience.
• Advanced certifications in enterprise architecture frameworks (TOGAF, Zachman) strongly preferred.
• Cloud architecture certifications (Azure Solutions Architect Expert, AWS Certified Solutions Architect) strongly preferred.
• 10+ years of experience in information technology with at least 7 years in enterprise architecture, solutions architecture, or technical leadership roles required.
• 5+ years of experience in AI/ML architecture, including hands-on experience with Large Language Models, AI agents, RAG architectures, and AI application development required.
• 7+ years of experience in healthcare technology with deep understanding of health data standards (HL7, FHIR), healthcare workflows, and regulatory compliance (HIPAA, HITECH) required.
• Proven experience as Principal Architect, Principal Information Security Architect, or equivalent senior technical leadership role required.
• 5+ years of experience leading architecture teams and managing diverse technical teams required.
• Experience managing organizational change across multiple teams or departments, ensuring adoption and alignment.
• Extensive experience architecting and implementing cloud-native applications on Azure and/or AWS, including migration strategies from on-premises to cloud-first organizations required.
• Strong background in information security architecture, including IAM solutions, authentication and authorization mechanisms (OAuth, SAML, OpenID Connect), API security, and security infrastructure required.

Skills

• Deep technical expertise in artificial intelligence, information security, cloud architecture, and enterprise systems.
• Strong leadership capabilities to build and guide the organization's AI transformation.
• Extensive experience in healthcare technology, information security architecture, AI/ML solutions, cloud-native application development, and agile methodologies.
• Proven experience as Principal Architect, Principal Information Security Architect, or equivalent senior technical leadership role.
• Experience managing architecture teams and diverse technical teams.
• Extensive experience architecting and implementing cloud-native applications on Azure and/or AWS, including migration strategies from on-premises to cloud-first organizations.
• Strong background in information security architecture, including IAM solutions, authentication and authorization mechanisms (OAuth, SAML, OpenID Connect), API security, and security infrastructure.

Benefits

• Competitive pay with a range of $160,000.00 - $200,000.00 annually.
• Annual Performance Incentive based on individual annual evaluation and company financial performance.
• Paid holidays and vacation time.
• Company-sponsored wellness program.
• EAP (Employee Assistance Program).
• Access to virtual primary care and virtual behavioral health at no cost for team members and their dependents.
• Open Time Off plan with 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year.
• Paid sick leave satisfaction through the paid time off accrual.

Pay

$160,000.00 - $200,000.00 annually.

Schedule

Full Time, remote Director, AI Engineering role.