WE'RE HIRING
Position Title: AI Engineer - CAN (SLFJP00005364)
1 Year Contract
Hybrid role based in Toronto/Waterloo (3 days per week in office)
The main 3-5 responsibilities of this resource?
- Develop and deploy cutting-edge AI and machine learning models to support investment decision-making, portfolio optimization, and risk management.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective AI-driven solutions.
- Implement and maintain robust data pipelines, ensuring the integrity, security, and accessibility of data used for AI/ML applications by working with SLC's Data Platform.
- Working with SLC's Cloud Engineering team, continuously research and evaluate emerging AI/ML techniques, tools, and technologies to identify opportunities for improvement and innovation.
The main 3-5 technologies of the resource?
- Deep technical understanding of Data and Analytics paradigms and technologies - Cloud (AWS, Azure), Databases/Warehouses (Snowflake, Oracle), etc.
- Extensive experience in designing and implementing AI/ML solutions, preferably in the financial services or asset management industry.
- Hands on experience with LLM and embedding models
- Strong programming skills, particularly in Python, experience with Machine Learning frameworks like TensorFlow, PyTorch, or Keras, and familiarity with cloud-based AI/ML platforms.
How many years of experiences are you looking for? 8 , 4 with cloud technologies
Critical Skills or Must Haves?
- Proven understanding of modern Digital \& CRM technologies.
- Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
- Strong decision making, outcome driven, influencing and leading change skills.
Is specific industry experience required? Yes
Team Size and Environment (Open concept, loud, interactive, etc.)?
Approx 10 team members on Cloud Team. Hybrid environment with 2-3d in the office. Typical cubicle office setting.
Does this role require privileged system access provision through Cyber ARC? Yes (likely)
Job Description
OVER VIEW
SLC Management is a global institutional asset manager that provides innovative and diversified solutions to meet our clients' evolving needs. Our history of organic and strategic growth reflects this commitment with over [CA$335 / US$260] billion in assets under management.
SLC Management offers the best of two worlds to professionals looking for opportunity, a collaborative environment, challenges, and growth. We are breaking ground with innovative solutions for a growing institutional client base of more than 1000 organizations. As a subsidiary of Sun Life, we are aligned with one of the world's leading financial services companies, and benefit from the stability and strength of that relationship.
Our teams live by a set of core beliefs that put our clients' needs and goals first. We are looking for talented professionals at all stages of their financial careers: those who are ready to learn, ready to collaborate and those who are ready to lead.
ROLE SUMMARY
As the successful candidate, you will be responsible for leading the AI and ML related work around Investment and Market Research for driving our vision around data driven decision making across Pan-SLC portfolios and ecosystem. You will be responsible for designing, developing, and implementing generative AI and ML based solutions to enhance our asset management capabilities. You will work closely with our investment professionals, data scientists, and IT team to identify and address complex challenges, optimize investment strategies, and drive innovation within the firm.
ACCOUNTABILITIES
● Develop and deploy cutting-edge AI and machine learning models to support investment decision-making, portfolio optimization, and risk management.
● Collaborate with cross-functional teams to understand business requirements and translate them into effective AI-driven solutions.
● Implement and maintain robust data pipelines, ensuring the integrity, security, and accessibility of data used for AI/ML applications by working with SLC's Data Platform.
● Working with SLC's Cloud Engineering team, continuously research and evaluate emerging AI/ML techniques, tools, and technologies to identify opportunities for improvement and innovation.
● Provide technical leadership and mentorship to junior team members, contributing to the growth and development of the AI/ML capabilities within the firm.
● Ensure the scalability, reliability, and performance of AI/ML systems, optimizing for efficiency and cost-effectiveness.
● Participate in the development of AI/ML governance policies and best practices to ensure compliance with regulatory requirements and industry standards.
● Sun Life inner sourcing: Partnering with SunLife Enterprise teams, drive the needs of SLC by creating a collaborative development approach.
COMPETENCIES/QUALIFICATIONS
• 8 years' experience in data-driven organizations with a focus on end-to-end data science related initiatives.
• 4 years hands-on experience building applications, data platform and pipelines in cloud-native technologies. Deep technical understanding of Data and Analytics paradigms and technologies - Cloud (AWS, Azure), Databases/Warehouses (Snowflake, Oracle), etc.
• Extensive experience (5 years) in designing and implementing AI/ML solutions, preferably in the financial services or asset management industry.
• Hands on experience with LLM and embedding models
• Strong programming skills, particularly in Python, experience with Machine Learning frameworks like TensorFlow, PyTorch, or Keras, and familiarity with cloud-based AI/ML platforms.
• Understanding of agent-based AI architectures, agent orchestration, multi-agent frameworks and hybrid RAG-CAG architectures.
• Bachelor's or master's degree in computer science or related technical field.
• Proven understanding of modern Digital \& CRM technologies.
• Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
• Strong decision making, outcome driven, influencing, leading change and communication skills.
