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 organizations 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 organizations 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.
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 comfort...
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 organizations 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 organizations 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.
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