Applied AI Engineer

WELL Health Technologies Corp

2d•Remote

About The Position

Reporting to the Finance Data & AI Lead, the Applied AI Engineer will design, build, deploy, and optimize AI-powered solutions that create measurable business value across the organization. This is a hands-on role focused on applying AI to real business challenges, not building foundation models. Working closely with business, data, and technology teams, you will take AI solutions from concept to production, delivering agents, assistants, automations, and applications that help teams work smarter and make better decisions. You are a builder who enjoys solving complex problems, navigating ambiguity, and creating enterprise-ready solutions that people actually use. Joining WELL's growing Business Transformation team, you will help shape the future of AI across one of Canada's leading healthcare technology organizations. This is a fully remote role based anywhere in Canada, with a preference for candidates located in Toronto or Vancouver.

Requirements

5+ years of experience in software engineering, solution engineering, data engineering, automation, or related technical roles.
Experience designing, building, and deploying production software and AI solutions.
Understanding of the realities of supporting solutions after launch.
Strong programming skills in Python.
Experience with API, databases, cloud environments, and enterprise integrations to connect systems, data, and AI capabilities to solve business challenges.
Experience working with modern large language model platforms such as OpenAI, Anthropic Claude, or similar technologies.
Understanding, building, deploying, and delivering on AI application concepts such as retrieval-augmented generation (RAG), prompt engineering, tool calling, workflow orchestration, and agent-based architectures.
Strong delivery mindset: enjoy taking ownership, working through ambiguity, and moving solutions from concept to production.
Understanding of how to balance innovation with practicality and motivated by building solutions that create meaningful business outcomes.
Effective communication with both technical and non-technical stakeholders.
Enjoy collaborating with others to understand business challenges, align priorities, and translate needs into practical technical solutions.
Naturally curious, eager to learn, and energized by solving complex problems.
Ability to think beyond immediate requirements, consider long-term scalability, and look for better ways to create value through technology.

Nice To Haves

Experience building AI assistants, agents, workflow automations, enterprise search, or knowledge management solutions.
Additional experience with LLMs such as OpenAI, Anthropic Claude, Codex, Claude Code.
Experience with AI orchestration and automation tooling such as LangGraph, n8n, or Logic Apps.
Experience with AI monitoring, evaluation, and observability practices.
Experience working in healthcare, regulated industries, or privacy-sensitive environments.

Responsibilities

Design, build, deploy, and continuously improve AI-powered solutions that help teams work smarter and make better decisions.
Translate business needs into practical applications, intelligent agents, assistants, workflow automations, and other AI-enabled solutions.
Connect AI capabilities with enterprise data, systems, APIs, and business applications, ensuring solutions are secure, scalable, and aligned with enterprise standards.
Partner with Data Engineering and Technology teams to establish reliable data access patterns and support long-term maintainability.
Evaluate performance, monitor effectiveness, implement appropriate controls and guardrails, and continuously improve outcomes based on user feedback and business results.
Design testing and evaluation approaches to measure solution quality, accuracy, reliability, and business effectiveness.
Monitor production AI solutions and continuously improve performance based on user feedback and operational metrics.
Implement guardrails, access controls, and monitoring to support responsible AI use.
Collaborate with stakeholders across the organization to identify opportunities, demonstrate solutions, educate users, and help drive the successful adoption of AI technologies.

Benefits

Competitive salary
Opportunity to shape the future of AI in a leading healthcare technology organization
Chance to see work move into production and deliver measurable impact
Work alongside experienced AI, data, and technology leaders
Opportunities to grow expertise and take on complex initiatives
Open environment to prioritize health and wellbeing
Multiple resources to discuss mental, physical, and psychological needs openly
Culture of respect, openness, support, and communication
Diverse, equitable, and inclusive organization
Great Place to Work® certification