Integrate AI agents with Smile CDR, AWS HealthLake, PHSD APIs, Provider Registry, and Master Data Management services.
Develop intelligent referral destination recommendations based on referral reason, specialty, geography, language, service availability, and organizational relationships.
Develop AI services that validate referral completeness and identify missing referral information prior to submission.
Implement explainable AI responses referencing authoritative PHSD records and supporting evidence.
Develop prompt templates, orchestration workflows, tool selection strategies, and AI evaluation frameworks.
Model Context Protocol (MCP) server development, tool integration, and agent orchestration.
Prompt engineering, tool calling, structured outputs, evaluation frameworks, and AI workflow design.
Integration of AI solutions with FHIR R4/R4B, SMART on FHIR, REST APIs, and healthcare interoperability standards.
Java Spring Boot and/or Python backend development supporting AI services.
Amazon Bedrock, OpenSearch vector search, embeddings, inference APIs, and enterprise AI deployment.
Healthcare provider directory, referral workflows, practitioner, organization, healthcare service, and location data modelling.
Secure API development using OAuth2, OpenID Connect, JWT, and enterprise authentication patterns.
Cloud-native AWS development, monitoring, logging, CI/CD, and operational support.
Strong analytical, problem solving, communication, and technical documentation skills.
Evaluation Criteria:
Enterprise AI development experience, including Retrieval Augmented Generation (RAG), Large Language Models (LLMs), semantic search, prompt engineering, AI agent development, Model Context Protocol (MCP), tool orchestration, and AI evaluation frameworks. 25 Points
Healthcare interoperability experience, including FHIR R4/R4B, SMART on FHIR, Smile CDR, AWS HealthLake, REST APIs, Provider Registry, Master Data Management, healthcare terminology, and healthcare data integration. 25 Points
Cloud application development experience, including Java/Spring Boot and/or Python, AWS cloud services, Amazon Bedrock, OpenSearch vector search, secure API development, CI/CD, monitoring, and scalable cloud-native architectures. 25 Points
Experience working with digital health assets Hospital Report Manager (HRM), Enterprise Master Data Management, Consent Management Service, provincial identity services, and integration with Epic, Oracle Health (Cerner), MEDITECH, or other healthcare information systems. 25 Points
Requirements
Deliverables:
AI architecture, technical design documentation, and implementation plans supporting PHSD Referral Intelligence.
AI agents capable of assisting users in identifying appropriate referral destinations using PHSD provider directory information.
Retrieval Augmented Generation (RAG) pipelines utilizing PHSD, Smile CDR, AWS HealthLake, and other approved healthcare data sources.
Model Context Protocol (MCP) servers exposing PHSD capabilities for AI-assisted applications.
Vector embedding generation, indexing, retrieval optimization, and relevance tuning.
AI services capable of validating referral destinations, identifying incomplete referral information, and recommending appropriate providers or healthcare services.
Integration with PHSD FHIR APIs, Smile CDR, AWS HealthLake, Provider Registry, Master Data Management services, and other provincial digital health assets.
Prompt libraries, orchestration workflows, tool definitions, and structured AI interaction patterns.
AI evaluation framework including groundedness, retrieval quality, factual accuracy, hallucination detection, citation validation, and response quality metrics.
Secure authentication and authorization integration supporting SMART on FHIR, OAuth2/OIDC, and role-based access controls.
Operational dashboards, monitoring, telemetry, audit logging, and performance reporting for AI services.
Unit testing, integration testing, AI evaluation testing, deployment automation, and CI/CD pipeline support.
Technical documentation, operational procedures, AI governance documentation, knowledge transfer materials, and production implementation support.
Must Haves:
Senior software development experience designing and implementing enterprise AI solutions.
Experience developing Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search.
Experience developing AI agents using Model Context Protocol (MCP).
Experience integrating Large Language Models with enterprise applications.
Experience implementing healthcare AI solutions using FHIR R4/R4B, SMART on FHIR, and REST APIs.
Experience with Health Services Directories
Experience with AWS AI services including Amazon Bedrock and related AI services.
Experience designing prompt orchestration, tool calling, and agent workflows.
Experience integrating AI solutions with healthcare provider directories and structured healthcare data.
Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality.
