About the Role
We are seeking a high-impact, hands-on Principal AI Architect with deep expertise in Enterprise Architecture, Java, Cloud, and next-generation AI systems . This role is ideal for a builder and strategist who can design scalable, secure, multi-tenant platforms while being equally comfortable getting into the code, collaborating with customers, and driving delivery.
You will play a pivotal role in shaping our AI-first digital platform strategy , integrating web, mobile, and backend ecosystems. Over time, this position will evolve into a leadership role , guiding the Enterprise Architecture and AI Center of Excellence (CoE) - setting the vision, frameworks, and standards for the organization's next phase of growth.
Key Responsibilities
AI & Platform Architecture
- Architect, design, and implement AI-driven SaaS platforms that unify mobile, web, and backend ecosystems .
- Lead the Agentic AI Architecture roadmap - orchestrating LLM-based agents and autonomous workflows.
- Build and optimize microservices-based systems using Java / Spring Boot , integrated with modern front-end stacks (React, Angular, Flutter, etc.).
- Ensure architectural excellence in scalability , multi-tenancy , security , and data orchestration across distributed systems.
- Integrate AI and data pipelines using vector databases , RAG frameworks , and AI model serving technologies.
Cloud & DevOps
Design and lead cloud-native architectures using AWS / Azure / GCP (containers, serverless, Kubernetes).Drive infrastructure automation , CI / CD , and observability frameworks ensuring high availability and low latency.Work closely with DevOps to optimize deployment, cost, and performance for global-scale systems.Security & Data Privacy
Enforce security-by-design principles - including encryption, identity management, and data isolation.Ensure compliance with HIPAA, GDPR , and data protection best practices (HITRUST optional).Lead architecture reviews for data governance, threat modeling, and secure design.Customer Engagement & Leadership
Act as a customer-facing technical leader , supporting enterprise clients through discovery, architecture design, and deployment phases.Partner with product and delivery teams to convert customer requirements into robust, scalable solutions.Mentor and coach engineering teams on AI, cloud, and architectural excellence.Lay the foundation for an internal Enterprise Architecture & AI CoE , defining reusable blueprints and governance frameworks.Required Qualifications
15+ years of progressive experience in Enterprise Architecture and Java-based software engineering .4+ years of experience in AI architecture - including LLMs, RAG, vector databases, LangChain, or agentic AI frameworks.Deep Java expertise - Spring Boot, Microservices, API design, performance tuning.Proven experience building multi-tenant, scalable SaaS systems on the cloud (AWS, Azure, GCP) .Strong understanding of web and mobile platform architecture and end-to-end integration strategies.Hands-on experience in security , DevOps , and data privacy frameworks .Excellent communication and stakeholder management skills - able to engage directly with customers, partners, and executives.Preferred Qualifications
Background in Healthcare, Life Sciences, or Digital Health industries.Familiarity with FHIR, HL7, OMOP , or related interoperability standards.Experience with AI / ML model operationalization , AI observability , and AI governance .Exposure to enterprise modernization (legacy transformation, API gateways, data fabrics).Proven ability to lead architecture teams and define organization-wide technology strategy.Why Join Us
Lead the next generation of AI-powered digital platforms in healthcare and life sciences.Opportunity to build and scale the organization's Enterprise Architecture and AI CoE .Work in a hands-on role that values execution, innovation, and customer success .Competitive compensation, flexible environment, and the chance to shape long-term product and AI strategy.