Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; or 7 years of relevant experience.
5 years of experience in technical architecture or senior engineering roles designing integrations and platforms.
AWS Certified Solutions Architect with hands-on experience in cloud-native solutions.
Deep understanding of enterprise integration patterns including API, batch, and event-driven messaging.
Experience with Salesforce integrations or similar CRM/patient engagement platforms.
Proficient in Infrastructure as Code tools like Terraform or AWS CloudFormation/CDK.
Strong communication skills for conveying complex architecture to diverse stakeholders.
Responsibilities
Lead architecture for Patient Experience domain, translating patient journeys into scalable designs.
Produce architecture deliverables like blueprints and models for engineering teams.
Own and evolve the Patient Experience technology roadmap, addressing modernization and capability gaps.
Apply modern architectural patterns based on business context, not convention.
Drive platform simplification and reuse, consolidating capabilities and eliminating dependencies.
Ensure cloud infrastructure is managed through reusable Infrastructure as Code for consistency and security.
Architect integrations connecting Patient Experience platforms with external partners using AWS services.
Benefits
Participation in employee benefit programs.
Opportunities for professional development and certifications.
Collaborative work environment with cross-functional teams.
Focus on innovative technologies and patient engagement solutions.
Full Job Description
Job Title: Digital Architect
Location: Morristown, NJ
Main Responsibilities
Lead end-to-end architecture for Patient Experience domain translating patient journeys, business capabilities, and regulatory requirements into scalable designs spanning digital experiences, CRM, cloud-native applications, integrations, patient data, analytics, and AI.
Produce hands-on architecture deliverables: blueprints, current/target-state architectures, ADRs, and C4 models that engineering teams can build from directly.
Own and evolve the Patient Experience technology roadmap, covering modernization priorities, capability gaps, technical debt, and emerging technology adoption across AWS, Salesforce, Snowflake, Informatica/IICS, and shared enterprise services.
Apply modern patterns API-first, event-driven, domain-driven, serverless, microservices selecting the right approach based on business and technical context, not convention.
Drive platform simplification and reuse, consolidating capabilities, rationalizing applications, and eliminating point-to-point dependencies.
Ensure cloud infrastructure is defined and managed through reusable, version-controlled Infrastructure as Code, supporting consistency, security, and repeatability across environments.
Integration & Data:
Architect integrations connecting Patient Experience platforms with specialty pharmacies, patient service providers, enterprise platforms, and external partners hands-on with AWS serverless services including Lambda, API Gateway, Step Functions, and SQS/SNS.
Establish and govern reusable integration patterns across APIs, events, messaging, orchestration, and batch/real-time processing, including standards for resiliency, observability, error handling, and lifecycle management.
Define reusable APIs, events, and data contracts that support multiple brands, patient programs, and digital experiences across the Patient Experience ecosystem.
Architect patient data flows across Salesforce, Snowflake, Informatica/IICS, AWS, and external partners supporting operational workflows, analytics, personalization, and AI use cases.
Design for a connected patient experience, enabling secure sharing of patient interactions, engagement history, consent, and preferences across authorized systems and channels.
AI & Agentic Architecture:
Define architecture for AI, Generative AI, and Agentic AI capabilities supporting patient engagement, Patient Services operations, decision support, and intelligent digital experiences.
Design agentic workflows that securely connect AI agents with patient data, applications, APIs, and business capabilities establishing patterns for agent-to-agent (A2A) interoperability and Model Context Protocol (MCP).
Establish MCP servers that securely expose APIs, tools, data, and business capabilities to authorized AI agents across the Patient Experience ecosystem.
Apply enterprise AI guardrails and define Patient Experience-specific guardrails for agentic solutions and responsible AI involving patient data.
Evaluate emerging AI and agent interoperability technologies for patient data, determining when agentic, API, event-driven, or traditional integration patterns are most appropriate.
Architecture Governance, Security & Compliance:
Ensure all designs adhere to enterprise architecture principles, standards, and governance partnering with Enterprise Architecture to manage exceptions and maintain alignment with target-state.
Make patient privacy, PHI/PII protection, consent, identity, and regulatory compliance a first-class concern in every architecture not an afterthought.
Design for production-grade availability, resiliency, scalability, observability, and disaster recovery.
Lead architecture reviews, keep documentation and ADRs current, and translate emerging technology into actionable roadmap opportunities.
Collaboration & Technical Leadership:
Collaborate across Product, Engineering, Data, Cybersecurity, Enterprise Architecture, Infrastructure, Patient Servies business stakeholders, and technology partners to align business objectives, technical strategy, and solution design.
Provide hands-on architectural stewardship throughout the solution lifecycle, constructively challenging design decisions when necessary and guiding teams toward solutions aligned with architectural principles, enterprise standards, and long-term technology strategy.
Drive technical decisions across stakeholders with differing priorities, building alignment without compromising the integrity of the target architecture.
Partner closely with engineering teams from design through implementation, providing architectural guidance and ensuring delivered solutions remain aligned with approved architecture, patterns, and engineering standards.
Support technical leads, building architectural depth and capability across the Patient Experience engineering community.
About You
Basic Qualifications
Bachelor's degree required, Computer Science, Engineering, Information Systems, or a related field is preferred, plus 5 years of experience in technical architecture or senior engineering roles designing integrations and platforms.
OR 7 years of experience in technical architecture or senior engineering roles designing integrations and platforms.
AWS Certified Solutions Architect required with real, hands-on experience designing secure, resilient, scalable cloud-native solutions on AWS.
Deep command of enterprise integration patterns including API, batch, event-driven, asynchronous messaging, and orchestration across distributed systems.
Experience architecting Salesforce integrations or related CRM/patient engagement platforms.
Experience with Infrastructure as Code Terraform, AWS CloudFormation/CDK, or equivalent integrated with modern CI/CD and DevSecOps practices.
Ability to communicate complex architecture clearly to both technical and non-technical stakeholders, and drive decisions across multidisciplinary teams.
Experience working within enterprise architecture governance frameworks, including reference architectures, technology standards, architecture reviews, ADRs, and architecture exception processes.
Preferred Qualifications
Hands-on experience integrating data into cloud data platforms such as Snowflake, using enterprise integration tools such as Informatica/IICS or comparable platforms, including operational and analytical data integration.
Practical understanding of Generative AI, LLMs, AI agents, RAG, tool/function calling, and agentic workflows ideally with real implementations behind you.
Experience with or strong working knowledge of MCP, Agent to Agent architectures, and emerging agent interoperability patterns.
Strong grasp of OAuth/OIDC, IAM, API security, encryption, secrets management, and least-privilege design..
Experience with the C4 model and architecture modeling tools such as IcePanel.
Experience in Life Sciences, pharmaceuticals, healthcare, Patient Services, or another highly regulated environment handling sensitive patient or health data strongly preferred.
A demonstrated commitment to staying technically current maintaining certifications and hands-on skills as the landscape evolves.
The salary range for this position is: $133.500,00 - $192.833,33
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.
About Sanofi
Sanofi is a global pharmaceutical company that specializes in the research, development, and manufacturing of prescription drugs and vaccines. The company operates in over 170 countries and has a diverse portfolio of products that includes treatments for diabetes, cancer, cardiovascular disease, and rare diseases. Sanofi is committed to improving global health and has a strong focus on innovation and sustainability. The company has received numerous awards for its research and development efforts and is recognized as a leader in the pharmaceutical industry.