About SickKids

Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World.

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.

Position Description

SickKids AI is leading a transformative enterprise-wide program to deliver leading edge, data driven, individualized paediatric care and operations through AI. Known as SickKids AI Service, or SKAI Service, our team is at the forefront of applying large language models (LLMs) and intelligent agent systems to high-impact clinical and operational challenges. With a keen focus on sustainable and responsible deployment, you will partner with SickKids' renowned clinicians and engineers to design, build, and deploy LLM-powered solutions enabling us to realize SickKids's vision of Healthier Children. A Better World.

Here's What You'll Get to Do

• Work with some of the best clinicians, data scientists, and software engineers in the world
• Design, build, and evaluate LLM-powered applications including retrieval-augmented generation (RAG) pipelines, prompt engineering frameworks, and multi-step agent workflows
• Build end-to-end data and inference pipelines to support LLM and agent systems, with strong quality control, safety checks, and bias assessment
• Rapidly prototype and evaluate LLM-based solutions for clinical and operational use cases, assessing feasibility and model behaviour
• Evaluate and iterate on agent architectures, tool use patterns, and LLM orchestration strategies to meet clinical requirements

Here's What You'll Need

• Candidate should have a background in computer science, machine learning, or a related field, with hands-on experience building LLM-powered applications or AI agents, and a strong understanding of modern NLP (Natural Language Processing) and generative AI techniques with**:**
• A degree in computer science, data science, or equivalent, with a focus on machine learning or NLP, with a minimum of 1 year of relevant experience (including LLM or generative AI projects)
• Practical experience designing and deploying LLM applications, including prompt engineering, and RAG)
• Excellent project and time management skills and a strong attention to detail
• Ability to work collaboratively with stakeholders across a large institution
• Outstanding problem solving and analytical skills
• Excellent writing skills to help with development of grants and papers
• Proficiency in Python and familiarity with the LLM/agent development ecosystem (e.g. LangChain, LlamaIndex, Semantic Kernel, or similar frameworks)
• Excellent verbal and written communication skills along with strong interpersonal skills
• Demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks
• Demonstrated commitment and actions in advancing equity, diversity, and inclusion objectives.

This will make you extra competitive

• Hands-on experience with Microsoft CoPilot and Azure AI Foundry, including building and deploying LLM-based solutions within the Microsoft ecosystem.
• Familiarity with other leading LLM platforms and APIs such as OpenAI/ChatGPT, Anthropic Claude, or Google Gemini, and experience comparing and integrating multiple model providers.
• Experience building autonomous or semi-autonomous agents using frameworks such as AutoGen, CrewAI, LangGraph, or similar; including tool use, memory, and multi-agent coordination.
• Experience applying LLMs to clinical or healthcare domains, including working with EHR data, medical terminology, or health-specific fine-tuning and safety considerations
• History of publishing papers and contributing to scientific research

Some Exciting Benefits of Working at SickKids

• This position is eligible for employee benefits coverage including but not limited to; health, dental and life insurance. The full benefits package will be discussed at the time of offer.
• A focus on employee wellness with our new Staff Health and Well-being Strategy. Self-care helps us support others.
• A hospital that welcomes and focuses on Equity, Diversity, and Inclusion.
• The opportunity to make an impact. Regardless of your role or professional interest, you will be making a difference at SickKids and contributing to our vision of Healthier Children. A Better World.
• For more on why you'll love working at SickKids, visit our careers site.

Employment type: Hybrid 1-year Contract (with renewal option)

Our Commitment to Diversity

SickKids is committed to championing equity, diversity and inclusion in all that we do, fostering an intentionally inclusive and culturally safe environment that reflects the diversity of the patients, families and communities we serve. Learn more about workplace inclusion.

Accessibility & Accommodation

If you require accommodation during the application process, please reach out to our aSKHR team. SickKids can provide access and inclusion supports to eligible candidates to support their full engagement during the interview and selection process as well as to ensure candidates are able to perform their duties once successfully hired. If you are invited for an interview and require accommodation, please let us know at the time of your invitation to interview. Information received related to access, inclusion or accommodation will be addressed confidentially.

How To Apply

Technical difficulties? Email ask.hr@sickkids.ca with a short description of the issues you are experiencing. We will not accept resumes sent to this inbox but we are happy to respond to requests for technical assistance.

Tip: Combine your cover letter and resume into ONE document of 20 pages or less as you cannot upload multiple documents as part of your application.

Every application is reviewed by a human recruiter and all hiring decisions are made by people. In some cases, AI-assisted tools are used to help review applications based on job-related qualifications.

All positions posted on the SickKids Hospital's Careers Site represent current vacancies, unless otherwise posted in the job description.