[Remote] AI Engineering Senior Principal
Note: The job is a remote job and is open to candidates in USA. Premise Health is a company dedicated to providing exceptional healthcare to large organizations and their people. As the AI Engineering Senior Principal, you will lead the AI engineering initiatives, defining and implementing enterprise-wide AI architecture and best practices while ensuring security and compliance across all AI systems.
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)
• Lead 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
• Establish DevOps and CI/CD practices for AI/ML solutions, ensuring continuous delivery, automated testing, model versioning, and deployment pipelines for AI systems
• Lead 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
• Lead 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
• Design multi-tenant SaaS architectures for AI applications that support multiple regions, ensure data isolation, and provide accurate cost allocation and billing
• Establish architectural patterns for integrating AI capabilities into existing systems, including event sourcing, pub/sub messaging, claim check patterns, sidecar patterns, and gateway patterns
• 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
Skills
• Master's degree in Computer Science, Engineering, Information Systems, or related technical field required; or equivalent combination of education and experience
• 15+ 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
• 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
• Advanced certifications in enterprise architecture frameworks (TOGAF, Zachman) strongly preferred
• Cloud architecture certifications (Azure Solutions Architect Expert, AWS Certified Solutions Architect) strongly preferred
Benefits
• Medical
• Dental
• Vision
• Life and disability insurance
• A 401(k) program with company match
• Paid holidays and vacation time
• A company-sponsored wellness program
• EAP
• Access to virtual primary care and virtual behavioral health at no cost for team members and their dependents
Company Overview
• Premise Health offers online health programs for organizations. It was founded in 2010, and is headquartered in Brentwood, Tennessee, USA, with a workforce of 5001-10000 employees. Its website is https://www.premisehealth.com/.
Company H1B Sponsorship
• Premise Health has a track record of offering H1B sponsorships, with 3 in 2025. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
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)
• Lead 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
• Establish DevOps and CI/CD practices for AI/ML solutions, ensuring continuous delivery, automated testing, model versioning, and deployment pipelines for AI systems
• Lead 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
• Lead 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
• Design multi-tenant SaaS architectures for AI applications that support multiple regions, ensure data isolation, and provide accurate cost allocation and billing
• Establish architectural patterns for integrating AI capabilities into existing systems, including event sourcing, pub/sub messaging, claim check patterns, sidecar patterns, and gateway patterns
• 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
Skills
• Master's degree in Computer Science, Engineering, Information Systems, or related technical field required; or equivalent combination of education and experience
• 15+ 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
• 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
• Advanced certifications in enterprise architecture frameworks (TOGAF, Zachman) strongly preferred
• Cloud architecture certifications (Azure Solutions Architect Expert, AWS Certified Solutions Architect) strongly preferred
Benefits
• Medical
• Dental
• Vision
• Life and disability insurance
• A 401(k) program with company match
• Paid holidays and vacation time
• A company-sponsored wellness program
• EAP
• Access to virtual primary care and virtual behavioral health at no cost for team members and their dependents
Company Overview
• Premise Health offers online health programs for organizations. It was founded in 2010, and is headquartered in Brentwood, Tennessee, USA, with a workforce of 5001-10000 employees. Its website is https://www.premisehealth.com/.
Company H1B Sponsorship
• Premise Health has a track record of offering H1B sponsorships, with 3 in 2025. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now