[Remote] AI Engineering Senior Principal

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

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.

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

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

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

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/.

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.

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