Hybrid opportunity at
PointClickCarePrincipal AI Engineer (Mississauga)
The Principal AI Engineer is based in Mississauga, as the title states, and the listing is recorded as hybrid and full time. This engineer builds AI…
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About This Role
The Principal AI Engineer is based in Mississauga, as the title states, and the listing is recorded as hybrid and full time. This engineer builds AI systems across multiple SaaS offerings following the company's AI design patterns, and defines the technical standards and reusable building blocks for planning, tool invocation and multi-step work. The role sits within a group that drives AI adoption across the enterprise, sets strategy, identifies high-value…
Job Description
The Principal AI Engineer is based in Mississauga, as the title states, and the listing is recorded as hybrid and full time. This engineer builds AI systems across multiple SaaS offerings following the company's AI design patterns, and defines the technical standards and reusable building blocks for planning, tool invocation and multi-step work. The role sits within a group that drives AI adoption across the enterprise, sets strategy, identifies high-value use cases and writes playbooks that speed implementation.
The engineer works with product, engineering and operations colleagues to turn prototypes into secure, observable production systems. Duties include defining the reference architecture for agentic AI, setting enterprise standards for reasoning loops, memory, safety and interoperability, and building shared components. The shared building blocks include a model gateway that routes between models, an orchestration layer, evaluation harnesses, prompt and version stores, and telemetry. The engineer also designs evaluation frameworks for LLMs and agent systems, covering offline and online tests, safety reviews and business outcome dashboards.
The Principal AI Engineer serves as the internal expert on AI, advises senior leaders and vendors, and coaches engineers through peer reviews, knowledge sessions and sign-off on code changes. The role keeps AI work in line with responsible AI practice, security and regulatory obligations, and tracks cost and speed for LLM and agent workloads.
The posting lists must-have experience shipping agentic AI at scale, plus advanced Python and Java for production work. Microsoft Azure AI services and Anthropic tools, including Claude Code, form the core technology stack named in the listing. No salary is stated.
Responsibilities
- Define the target design, with a reference model for agentic AI across product lines
- Build and govern shared components, including a model broker, orchestration, evaluation harnesses and telemetry
- Develop and sharpen prompting strategies for large language models
- Drive roadmaps across teams and set integration rules, such as API contracts and versioning
- Create evaluation frameworks that measure quality, safety and business results for LLM and agent systems
- Act as the internal subject matter expert for AI across enterprise applications
- Pick, rank and ship AI use cases that have concrete business payoffs
- Mentor engineers through peer reviews, knowledge sessions and engineering standards
Requirements
- Record of leading large-scale agentic AI launches across multiple product lines
- Expertise and hands-on experience with Microsoft Azure AI Foundry, Azure OpenAI and Azure AI Document Intelligence
- Experience with Anthropic tools, including Claude Code, and with agent frameworks such as LangChain
- Advanced Python and Java skills for production systems, including testing, packaging and profiling
- Experience with RAG and agent data pipelines, covering document preprocessing, chunking, embeddings and vector stores
- Experience with model serving and with cost and performance tuning
- Knowledge of relational databases such as Microsoft SQL Server or PostgreSQL
- Bachelor's-level study in computing or a closely aligned discipline
Qualifications
- Experience with monitoring tools such as AppDynamics, Kibana or OpenTelemetry
- Familiarity with Docker, Kubernetes and Istio
- Experience with AWS or Azure cloud services and with service-oriented architecture
- On-call experience with production systems
Core Skills
Benefits
- Benefits begin on the first day of employment
- Retirement plan with employer matching
- Flexible paid time off
- Wellness resources and support programs
- Parental and caregiver leave
- Fertility and adoption assistance
- Learning and development support
- Employee assistance program
- Inclusion and allyship groups
- Employee recognition
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is the Principal AI Engineer role remote or hybrid?
The listing describes the role as hybrid. The title names Mississauga as the location.
Which technology stack is named?
The posting names Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Document Intelligence, Anthropic tools including Claude Code, and LangChain, alongside advanced Python and Java.
How does the engineer work with other teams?
The engineer coaches other engineers, works with product, engineering and operations groups, and advises senior leaders and vendors on AI practice.
Is a salary listed?
No. The posting does not state a salary.
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