• Build Own services in the live call path — from feature delivery through deployment, monitoring, and incident follow-through. • Write code across the conversational AI stack: speech-to-text, text-to-speech, Large Language Model (LLM) orchestration, and telephony. • Build and maintain observability for your services — metrics, structured logs, distributed tracing, and alerts tied to service-level indicators (SLIs) and reliability targets you help define. • Write Infrastructure as Code using AWS CDK for containerized (ECS) and serverless (Lambda) architectures. • Build fault-tolerant telephony integrations with graceful degradation, retry logic, and error handling. • Deliver real-time conversational voice AI, including low-latency infrastructure. • Monitor and reduce spend across model providers, telephony usage, and AWS workloads without degrading latency or call quality. • Collaborate with AI Engineers on model integration and optimization work.

• Contributes to the design, development, and operation of secure data integrations between internal Azure-hosted healthcare platforms and external partners • Focuses on building reliable, auditable data exchanges across batch files, APIs, and event-driven patterns while ensuring data quality, traceability, and compliance in a regulated environment (PHI/PII, FedRAMP Moderate, NIST 800-53) • Use Azure-native services (including API Management, Azure Functions, Logic Apps, Service Bus, Event Grid, Storage, and Key Vault) to assist with the design and implementation of inbound and outbound integrations • Support the build and maintenance of batch-based file exchanges (SFTP/MFT), including scheduling, file-naming conventions, schema validation, encryption/signing (PGP), and delivery acknowledgements • Develop API-based integrations, including REST endpoints, contract-first design (OpenAPI), versioning, and support for partner onboarding • Create and maintain mapping specifications and transformation logic (JSON, XML, CSV, EDI) supporting partner-specific layouts and canonical models • Contribute to validation frameworks, error reporting, and interface runbooks to improve data quality and operational support • Use Azure Monitor, Application Insights, Log Analytics, and dashboards to configure monitoring and alerting for interface health and SLA reporting • Participate in incident response, root-cause analysis, and post-incident improvements for integration issues • Implement secure connectivity patterns, manage secrets and certificates, and follow compliance standards • Collaborate with internal teams and external partners to define interface contracts, exchange schedules, retry/reconciliation processes, and deployment plans • Support CI/CD pipeline development, infrastructure as code (with Bicep), and automation initiatives under guidance from senior engineers.

• Lead the technical team to help ensure they are following processes to deliver all technical functions • Provide ongoing client support • Streamline and provide onboarding activities by shadowing and training • Making decisions aimed at improving efficiency • Directly working with the consulting leads to provide quality solution design

• Maintain and extend capabilities of healthcare technology platform • Develop features, analyze and resolve issues, refactor code • Collaborate with technology team and cross-functional teams • Document technical artifacts and internal knowledge base • Ensure performance, quality, and responsiveness of applications • Follow best practices and coding standards • Transfer knowledge within the department and other technical teams