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 hrsmss@smsoftconsulting.com 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 environment 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 hrsmss@smsoftconsulting.com 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.