Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital Solution Architect Lead Advisor in Canada.

This role is a senior-level opportunity focused on designing and delivering advanced agentic AI systems in the healthcare domain. You will work at the intersection of Generative AI, classical machine learning, and full-stack engineering to build scalable, production-grade solutions. The position involves close collaboration with clinical experts, operational stakeholders, and compliance teams to translate real-world healthcare workflows into intelligent AI-driven systems. You will contribute to building solutions across diagnostics, care coordination, clinical documentation, and healthcare operations optimization. The environment is highly innovative, regulated, and impact-driven, requiring both technical depth and strong cross-functional communication. This is a client-facing role delivered through a hybrid/remote setup, offering exposure to cutting-edge Azure-based AI technologies and enterprise-scale architectures.

Accountabilities:

Design and implement agent-based AI workflows for healthcare use cases such as clinical assistants, triage systems, care optimization agents, and revenue cycle automation.
Develop and deploy LLM-powered systems including RAG pipelines, tool-calling agents, and multi-agent orchestration frameworks.
Build and maintain classical machine learning models for prediction, risk scoring, clustering, anomaly detection, and time-series analysis.
Architect and implement HIPAA-aware, secure, and auditable AI systems with strong traceability and governance.
Develop full-stack applications including Python-based APIs, backend AI services, and interactive dashboards.
Integrate AI systems with healthcare platforms such as EHRs, data lakes, and FHIR/HL7-based infrastructures where applicable.
Collaborate with clinical subject-matter experts to translate healthcare processes into scalable AI agent logic and workflows.
Deploy, monitor, and continuously optimize AI systems within Azure cloud environments.

Requirements:

8–12 years of experience in AI/ML engineering, software development, or related technical roles.
Strong expertise in Python for building production-grade AI systems.
Hands-on experience with Generative AI technologies including LLMs, embeddings, prompt engineering, and RAG architectures.
Solid background in classical machine learning techniques such as classification, regression, NLP, and anomaly detection.
Full-stack development experience including API design and UI integration.
Strong experience with Azure cloud services (Azure AI Studio, Azure ML, Azure OpenAI, Functions, AKS).
Experience working in regulated or compliance-heavy environments (healthcare experience is an asset).
Ability to collaborate effectively with non-technical stakeholders and domain experts.
Proven experience delivering production-ready AI systems beyond prototypes.
Strong communication skills with the ability to explain AI systems and decisions clearly.
Curiosity and interest in agentic AI systems and next-generation AI architectures.
Familiarity with FHIR/HL7 standards, AWS/GCP, or NVIDIA AI stack is a plus.

Benefits:

Competitive hourly compensation ranging from $80/hr to $90/hr (depending on experience and location within applicable regions).
Hybrid/remote work flexibility depending on client engagement requirements.
Opportunity to work on cutting-edge healthcare AI and agentic systems at enterprise scale.
Exposure to advanced Azure AI technologies and modern AI architecture patterns.
Collaborative, innovation-driven environment with multidisciplinary teams.
Access to complex, high-impact projects in regulated healthcare environments.
Potential performance-based incentive compensation depending on role and project outcomes.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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About Jobgether

Jobgether is an AI-powered career coach and matching platform fixing the broken job search. Remote professionals no longer waste hours applying blindly; instead, they receive a personalized job search strategy, stronger visibility, and curated matches aligned with their skills, flexibility preferences, and career goals.

We flip the hiring model by connecting talent only to roles that truly match, reducing noise for employers and eliminating wasted effort for candidates. Jobgether combines AI coaching, profile optimization, Match Score insights, and the world’s largest remote job database to help people land opportunities faster and with less bias.

Our purpose is to make remote job search guided and intentional.

Our mission is to become the world’s reference platform for remote talent, ensuring no professional remains invisible and every match is meaningful.

Industry

Retail & Ecommerce

Company Size

201-500 employees

Headquarters

Brussels, BE

Year Founded

2020

Website

jobgether.com

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