AI Solutions Architect leading design and implementation of AI - powered solutions for Innovecs. Shaping AI architecture strategy and driving automation across product and engineering landscape.
About the role
- Senior Solutions Architect designing scalable healthcare data solutions using Smile’s platform. Collaborating with clients on innovative health data management systems and best practices.
Responsibilities
- Lead architectural design and solutioning during discovery and early implementation phases, working directly with healthcare customers to surface unknowns, ask the right questions, and co-design scalable, standards-aligned solutions.
- Provide ongoing architectural oversight and hands-on technical guidance (if needed) throughout the full implementation lifecycle and post-go-live, ensuring the solution remains aligned with Smile’s best practices, technical standards, and product capabilities.
- Evaluate customer-specific requirements and make technical recommendations around performance tuning, ingestion workflows, bundle design, and terminology mapping.
- Collaborate regularly with internal teams, including Product, Engineering, QA, Agile Leads, Solution Architects, and Technical Account Managers, to resolve architectural questions, validate patterns, and provide feedback that shapes future product improvements.
- Take ownership of evolving or refactoring designs when new constraints, blockers, or learnings emerge during delivery (e.g., scalability issues, deployment friction, real-time ingest gaps).
- Actively participate in customer-facing meetings, design reviews, retrospectives, and change discussions; support technical communication during escalations and decision points.
- Contribute to Smile’s internal architecture review boards, design documentation, reusable delivery assets, and solution playbooks to help scale implementation excellence across teams.
- Stay current with Smile’s product roadmap, technical stack, and regulatory mandates (e.g., CMS interoperability requirements); demonstrate curiosity and initiative in learning new tools and approaches.
Requirements
- 10+ years of experience in software engineering, technical consulting, or solution architecture roles, ideally with hands-on experience supporting complex healthcare implementations.
- Proven ability to lead customer-facing architecture and design discussions, especially with payer, provider, or government-aligned healthcare organizations.
- Demonstrated experience designing solutions involving real-time data ingestion technologies such as Kafka, Camel, Pulsar, and implementing FHIR-based data workflows.
- Strong understanding of clinical data modeling and terminology mapping (e.g., SNOMED CT, RxNorm, LOINC), including their application across ingestion, transformation, and API exposure layers.
- Experience with cloud-native architecture and deployment in AWS, Azure, or GCP using Docker, Helm, and Kubernetes.
- Skilled in identifying technical trade-offs and adapting solution designs in response to new constraints or emerging information during delivery.
- Excellent verbal and written communication skills, including the ability to translate complex designs for technical and non-technical stakeholders.
- Strong interpersonal and collaboration skills with cross-functional teams including product, engineering, QA, and delivery.
- Comfortable working in fast-paced, ambiguous environments with evolving requirements, shifting priorities, and in-flight blockers.
- Proficiency with solution diagramming and design tools such as Lucidchart (or equivalent) to communicate architectural decisions and data flows clearly.
Benefits
- Remote Work Environment
- Flexible Time Away From Work Policy including PTO, Personal and Sick Days
- Competitive Salary and Health/Medical Benefits
- RRSP/TFSA/401K Employee Contribution
- Life and Disability
- Employee Assistance Program
- FHIR Study Program and Skillsoft Learning
- Super HAPI Fun Club
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