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AKASA is building the future of healthcare with AI.
Solution Architect
Location
United States
Posted
179 days ago
Salary
$120K - $150K / year
Seniority
Senior
Job Description
Solution Architect
AKASA
• Lead technical implementations for customer-specific deployments and create processes to streamline rollouts • Define and maintain deployment specs, data flows, and API requirements • Investigate EHR data sources; design and support integrations via FHIR, HL7, custom APIs • Work alongside AI researchers, internal development teams, and clinical/RCM experts to help drive long-term product strategy • Execute model validation workflows and coordinate release testing for new features • Monitor production health, respond to customer reported issues, and escalate as needed • Partner with clients to gather technical requirements and guide implementations • Drive key organizational initiatives, support agile ceremonies, and contribute to process improvements • Serve as the technical point of contact for third-party vendors and integrations
Job Requirements
- Strongly preferred: experience in Epic and/or Cerner revenue cycle management workflows
- Strong background leading multiple multi-team deployments at one time
- Excellent documentation, communication, and client-facing skills
- Experience in technical implementations, systems integration, and project execution
- Basic–intermediate SQL/Python
- Ability to translate business needs into clear technical requirements
- 3–5 years of consulting experience preferred
- BS in a technical or analytical field
Benefits
- Unlimited paid time off (PTO)
- Expansive coverage for health, dental, and vision
- Employer contribution to Health Savings Accounts (HSA)
- Generous parental leave policy
- Full employee coverage for life insurance
- Company-paid holidays
- 401(K) plan
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• Map the functional domains relevant to the business. • Define the business capabilities each domain enables and how they contribute to value creation. • Identify and detail requirements (functional, business, data, compliance, legal and regulatory, etc.). • Detail non-functional requirements (performance, security, scalability, etc.) and define clear metrics for each. • Prioritize requirements based on business value and technical constraints. • Choose appropriate architectural patterns and styles (microservices, message queues, etc.). • Explain the rationale for choosing architectural styles and patterns, considering business requirements, technical constraints and the trade-offs involved. • Consider trade-offs between simplicity and flexibility. • Define clear strategies to handle increasing load (scalability). • Implement failure recovery mechanisms (resilience). • Meet high availability requirements. • Define how components communicate (protocols, message formats, etc.). • Choose appropriate integration tools and patterns and define their responsibilities. • Implement authentication, authorization and encryption (security). • Implement protection mechanisms against attacks (WAF, etc.). • Select tools and technologies suitable for implementing the architecture, considering aspects such as performance, cost, ease of use and integration with other systems. • Justify the choice of each tool/technology, demonstrating an understanding of their pros and cons. • Demonstrate impact analysis of the proposed solution across different domains (Data, Security, Infrastructure, Solutions and Software, etc.). • Provide a cost estimate for the proposed solution. • Document the solution architecture clearly and concisely. • Create diagrams representing the solution architecture, including components, their interactions and data flows. • Centralize documentation (Readme). • Describe possible improvements or extensions to the solution. • Demonstrate long-term vision and planning ability. • Discuss trade-offs and challenges faced during development. • Define monitoring metrics to track the solution's performance, availability and security. • Implement alerts to detect issues and enable a rapid response. • Describe tools and techniques to collect, analyze and visualize metrics.




