AI Engineer

You are as unique as your background experience and point of view. Here youll be encouraged empowered and challenged to be your best self. Youll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day youll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

At Sun Life were driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring authentic bold inspiring and impactful.

When you join Sun Life youll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions so you can make a meaningful difference in our Clients lives.

Discover how you can make a difference in the lives of individuals families and communities around the world.

Job Description:

We are looking for a ML/ AI engineer that will help us in creating new AI solutions for automating monitoring and control of advanced cyber threats by extracting insights hidden in vast amounts of network and security log data.

Your primary focus will be building machine learning models conversational and agentic solutions for Security Risk and Crisis Management.

Success for this role will be achieved by building new AI solutions to automate for high efficiency and accuracy along with identifying previously undiscovered intrusions or by improving the organizations security posture or the measurement thereof. The goal is to create new strategic and tactical value for security through exploration innovation analysis using cutting-edge technologies and techniques.

Key Responsibilities

• Work closely and collaborate with stakeholders to understand their use cases business cases gather requirements and develop AI architectures to address their business cases

• Apply AI data mining NLP machine learning (both supervised and unsupervised) and statistical methods to improve relevance and personalization algorithms for improving Cybersecurity detection at Sun Life

• Design enterprise-grade Generative AI architectures including complex Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems.

• Fine-tune open-source and proprietary models (e.g. Clauda) using advanced optimization techniques like LoRA QLoRA and deep prompt engineering.

• Build scale and maintain high-throughput LLM serving infrastructure using various optimization

• Architect scalable data engineering pipelines and manage enterprise vector databases (e.g. OpenSearch pgVector) for high-performance semantic search.

• Implement robust model evaluation frameworks and guardrails to mitigate hallucinations bias and security vulnerabilities.

• Discover new data sources to access ingest clean and make them model-ready. You need to be willing and able to do your own ETL from various data stores

• Develop subject matter expertise to understand about features to enhance model(s) performance and develop a standard repeatable process to continue enhancement and deployment

• Run regular A/B tests gather data perform statistical analysis draw conclusions on the impact of your optimizations and communicate results to peers and leaders

• Create automated anomaly detection systems and constant tracking of its performance for various use cases

• Develop customized interactive dashboards to present information using data visualization techniques for internal business partners

• Developing complex SQL queries across multiple data sources to support analysis and optimizing workloads to reduce query runtimes along with process cleanse and verify the integrity of data used for analysis

• Accurately prepare and promptly complete all required supporting documentation for assigned projects/tasks (i.e. reports models change requests presentations tables files etc).

• Stay up to date on ML/AI advancements in general and be able to communicate those changes via internal memos blogs training sessions and architectural designs.

Preferred Qualifications

• BSc/BA in Computer Science Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

• Experience building Conversational and Agentic AI solutions.

• Familiarity with Data Visualization and Reporting tools such as (Tableau Desktop Power BI AWS Quick).

• 5 years experience in using Python/R and SQL with tools like Snowflake RedShift RDS PostgreSQL Microsoft SQL Server SAS Oracle Bedrock Agentcore etc. to analyze data and gather valuable insights.

• Develop and drive innovative Data and Analytics thinking including Predictive Modelling Data Science application development.

• Familiarity with Amazon Web Services including Athena Redshift Lambda and SageMaker.

• Conceptual understanding of the following topics:

• Machine Learning (ML) techniques and comprehension of existing algorithms and ML lifecycle components.

• Database theory ETL/data pipeline design and data modelling.

• Ability to work independently and eager to take on responsibility.

Whats in it for you

• Were proud to be recognized as a company with a 2026 Most Trusted Executive team by Great Place to Work Canada

• Access to short-term assignments or Gigs across the organization to help you develop new skills and connections.

• A collaborative and interactive team environment

• Charitable giving through our You Give We Give program lets you give back to your community and in many cases well match your contributions.

• Care Days available for self-care or care of others (i.e. family or others you may support) and Sick Days to support your well-being.

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other addition to Base Pay eligible Sun Life employees participate in various incentive plans payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to .

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business our Clients and you.

We may use artificial intelligence to support candidate sourcing screening interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

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