Sun Life
AI Engineer
Toronto, Ontario
Sponsorship not specifiedDetected 1 day ago
PythonAlgorithmsSQLPostgreSQLElasticsearchSnowflakeRedshiftVector DatabasesAWSMachine LearningData EngineeringData ScienceData VisualizationNLPLLMsRAGAgentic AIStatisticsCybersecuritySOARDetection EngineeringRecruitingSASPublic Speaking
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Here, you'll be encouraged, empowered and challenged to be your best self.
- You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you.
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
- Design enterprise-grade Generative AI architectures, including complex Retrieval-Augmented Generation (RAG) pipelines and multi-agent systems.
- 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
Requirements
- Accurately prepare and promptly complete all required supporting documentation for assigned projects/tasks (i.e., reports, models, change requests, presentations, tables, files, etc).
- You are as unique as your background, experience and point of view.
Nice to have
- BSc/BA in Computer Science, Engineering or relevant field
- graduate degree in Data Science or other quantitative field is preferred.
- 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.
- Familiarity with Amazon Web Services including Athena, Redshift, Lambda and SageMaker.
- Conceptual understanding of the following topics:
- Ability to work independently and eager to take on responsibility.
- What's in it for you?
Compensation
- 90,000/90 000 - 140,000/140 000
Benefits
- 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
Company info
- Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.
- At Sun Life, we're 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.
- At Sun Life, we're driven by our Purpose:
- Our values shape how we work:
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This listing is sourced directly from Sun Life's careers page and normalized into a canonical job model.