Job Title: Digital Architect
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 YouBasic 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.
