Software Developer – Artificial Intelligence (AI) – Senior (RQ00735) Client: Supply Ontario Location: 525 University Avenue, Toronto, Ontario, Canada Work Arrangement: Hybrid (Onsite as required) We are seeking a highly experienced Senior Artificial Intelligence Software Developer to design, develop, and implement enterprise AI solutions supporting next-generation digital healthcare platforms. The successful candidate will play a key role in expanding the Provincial Health Services Directory (PHSD) by building AI-powered capabilities for healthcare provider discovery, referral intelligence, semantic search, and intelligent navigation. This role requires deep expertise in Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI agents, Model Context Protocol (MCP), healthcare interoperability standards, AWS AI services, and secure enterprise AI application development.

The ideal candidate will have strong experience developing AI solutions using Amazon Bedrock, OpenSearch vector search, Java Spring Boot, Python, FHIR APIs, SMART on FHIR, healthcare data platforms, and cloud-native architectures.

Role Snapshot Requisition ID: RQ00735 Job Title: Software Developer – Artificial Intelligence (AI) – Senior Client: Supply Ontario Work Location: 525 University Avenue, Toronto, Ontario, Canada Work Arrangement: Hybrid Estimated Start Date: August 31, 2026 Estimated End Date: April 23, 2027 Contract Duration: 164 Business Days Extension: Possible based on business requirements Work Schedule: 7.25 Hours per Day (5 Days/Week) Public Sector Experience: Mandatory Mandatory Application Documents Interested candidates should submit the following to [email protected] by Thursday, August 6, 2026 at 12:00 PM EST.

Required Documents Updated

Resume (Word Format) – Mandatory

Skills Matrix and References – Mandatory

Expected Hourly Rate – Mandatory

Visa Status – Mandatory

LinkedIn Profile ID – Mandatory Applications without complete mandatory documentation cannot be processed.

Role Overview Supply Ontario is enhancing the Provincial Health Services Directory (PHSD) with advanced artificial intelligence capabilities to improve: Healthcare provider discovery

Referral destination recommendations

Healthcare navigation

Provider and service matching

Intelligent referral validation The AI Platform Will Leverage Healthcare Data Sources Including: PHSD provider and organization data

Practitioner information

Healthcare service metadata

FHIR APIs

Smile CDR

AWS Health Lake

Enterprise Master Data Management services The solution will focus on grounded AI responses, explainability, auditability, privacy, security, and clinical confidence while enabling future AI-driven healthcare workflows.

Key Responsibilities Enterprise AI Development & RAG Solutions (40%)

Design and develop enterprise AI applications using modern LLM architectures.

Build Retrieval Augmented Generation (RAG) pipelines using healthcare data sources.

Develop AI agents supporting

Provider discovery

Referral intelligence

Healthcare navigation

Intelligent recommendations

Implement semantic search capabilities for:

Providers

Practitioners

Organizations

Healthcare services

Specialties

Locations

Develop vector-based retrieval solutions using:

Vector databases

Embeddings

OpenSearch vector search

Optimize

Retrieval accuracy

Search relevance

Response quality

Latency

AI performance

AI Agent Development & Orchestration (25%)

Develop AI agents using Model Context Protocol (MCP).

Design and implement MCP servers exposing PHSD capabilities to AI applications.

Develop

Prompt templates





Tool calling strategies

Agent workflows

Structured AI interactions

Implement AI orchestration patterns for enterprise applications.

Evaluate and improve AI responses through:

Grounding validation

Hallucination reduction

Factual accuracy assessment

Response quality measurement

Healthcare AI Integration & Interoperability (25%)

Integrate AI solutions with healthcare platforms and systems including:

FHIR R4/R4B APIs

SMART on FHIR applications

Smile CDR

AWS Health Lake

Provider Registry

Master Data Management services

Develop AI solutions supporting healthcare referral workflows.

Implement intelligent recommendations based on:

Referral reason

Specialty

Geography

Language

Service availability

Organizational relationships

Ensure alignment with healthcare interoperability standards.

Support healthcare data modelling and integration activities.

Secure Cloud Application Development (10%)

Develop secure AI applications using AWS cloud services.

Implement enterprise authentication and authorization patterns:

OAuth2

OpenID Connect

JWT

Role-Based Access Control (RBAC)

Develop backend AI services using:

Java Spring Boot

Python

Support cloud-native application delivery including:

CI/CD pipelines

Monitoring

Logging

Operational support

Produce technical documentation, architecture documents, and implementation materials.

Required Skills &

Experience Skill / Experience Requirement Enterprise AI Application Development Mandatory Large Language Models (LLMs) Mandatory Retrieval Augmented Generation (RAG) Mandatory Semantic Search & Vector Retrieval Mandatory AI Agent Development Mandatory Model Context Protocol (MCP) Mandatory Prompt Engineering & AI Orchestration Mandatory Amazon Bedrock Mandatory OpenSearch Vector Search Mandatory Python Backend Development Mandatory Java Spring Boot Development Mandatory REST API Development Mandatory FHIR R4/R4B Integration Mandatory SMART on FHIR Mandatory Healthcare Data Integration Mandatory AWS Cloud Development Mandatory OAuth2/OIDC Security Mandatory Public Sector Experience Mandatory Technical Skills & Tools Artificial Intelligence Large Language Models (LLMs)

Retrieval Augmented Generation (RAG)

AI Agents

Model Context Protocol (MCP)

Prompt Engineering

Tool Calling

AI Evaluation Frameworks

Hallucination Detection

Response Grounding Healthcare Technology FHIR R4/R4B

SMART on FHIR

Smile CDR

AWS Health Lake

Provider Registries

Healthcare Data Models

Healthcare Interoperability Standards Cloud & Development Amazon Bedrock

AWS AI Services

OpenSearch Vector Search

Python

Java Spring Boot

REST APIs

CI/CD Pipelines

Cloud-Native Architecture Security OAuth2

OpenID Connect

JWT Authentication

Role-Based Access Control

Secure API Development Desired Skills & Qualifications Experience developing healthcare AI solutions.

Experience with healthcare provider directories and referral systems.

Experience implementing healthcare knowledge graphs or semantic search.

Experience with Amazon Bedrock Agents or enterprise AI orchestration platforms.

Experience developing AI evaluation frameworks.

Knowledge of

SNOMED CT

LOINC

Healthcare terminology services

Clinical data standards





Experience with responsible AI practices:

Explainability

Privacy-preserving AI

AI governance

Experience working with Agile teams delivering healthcare technology solutions.

Evaluation Criteria Enterprise AI Development – 25% Experience With: RAG architecture

LLM applications

Semantic search

Prompt engineering

AI agents

MCP

Tool orchestration

AI evaluation frameworks Healthcare Interoperability – 25% Experience With: FHIR R4/R4B

SMART on FHIR

Smile CDR

AWS Health Lake

Provider Registry

Master Data Management

Healthcare data integration Cloud & Application Development – 25% Experience With: Java/Spring Boot

Python

AWS services

Amazon Bedrock

OpenSearch

Secure APIs

CI/CD

Cloud-native architectures Digital Health Platform Experience – 25% Experience Integrating With: Hospital Report Manager (HRM)

Enterprise Master Data Management

Consent Management Services

Provincial identity services

Epic

Oracle Health (Cerner)

MEDITECH

Other healthcare information systems Expected Deliverables AI architecture and technical design documentation.

AI agents supporting intelligent provider and referral discovery.

RAG pipelines using approved healthcare data sources.

MCP servers exposing PHSD capabilities.

Semantic search solutions for healthcare discovery.

Vector embedding generation and optimization.

AI-powered referral validation services.

Integration with

PHSD FHIR APIs

Smile CDR

AWS Health Lake

Provider Registry

Master Data Management services

Prompt libraries and AI orchestration workflows.

AI evaluation frameworks measuring

Groundedness

Retrieval quality

Factual accuracy

Hallucination detection

Response quality

Secure authentication and authorization implementation.

Monitoring dashboards and operational reporting.

Testing, deployment automation, and CI/CD support.

Technical documentation and knowledge transfer materials.

Hybrid Work Requirements This position is currently classified as Hybrid.

The resource may be required to work onsite at the Hiring Manager’s discretion.

Work must be performed within Ontario unless prior written approval is provided.

Agency equipment, including laptops, must remain within Ontario unless approved.

Remote work requires

Private workspace

Hard-wired internet connection

Adequate bandwidth

Suitable work workplace

Ideal Candidate Profile The ideal candidate is a Senior AI Software Developer with proven experience building enterprise AI solutions in complex healthcare or public-sector environments. You have hands-on expertise with LLMs, RAG, AI agents, MCP, AWS Bedrock, healthcare interoperability standards, FHIR, Python, Java Spring Boot, and secure cloud-native application development. You are passionate about responsible AI, scalable architecture, and developing intelligent solutions that improve healthcare accessibility, provider discovery, and digital health experiences.

How to Apply Please submit the following documents to [email protected] by Thursday, August 6, 2026 at 12:00 PM EST: Updated Resume (Word Format) – Mandatory

Skills Matrix and References – Mandatory

Expected Hourly Rate – Mandatory

Visa Status – Mandatory

LinkedIn Profile ID – Mandatory Incomplete applications cannot be submitted. If this role is not suitable, please share it with qualified Senior AI Developers, Machine Learning Engineers, LLM Engineers, Healthcare AI Developers, Cloud AI Architects, or Full Stack AI Engineers with experience in RAG, LLMs, MCP, AWS Bedrock, FHIR, SMART on FHIR, healthcare data integration, and enterprise AI application development.

📌 Software Developer - Artificial Intelligence (AI) (Toronto)
🏢 S M Software Solutions
📍 Toronto