Principal Consultant - Gen AI

Sun Life

1d

About The Position

You are as unique as your background, experience and point of view. 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. Your leaders will inspire and help you reach your potential and soar to new heights. 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. When you join Sun Life, you'll 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.

ROLE SUMMARY
As the successful candidate, you will be responsible for leading the AI related work around asset management and technology domain for driving our vision around data and AI driven decision making across Pan-Sun Life portfolios and ecosystems. You will be responsible for designing, developing, and implementing generative AI and ML based solutions to enhance various process improvements and capabilities. You will work closely with our investment professionals, data scientists, and IT teams to identify and address complex challenges, optimize strategies, and drive innovation within the firm.

Requirements

• Over 10 years’ experience in enterprise organizations focused on data, AI, and cloud adoption preferably in the financial services or asset management industry.
• Over 6 years of experience developing applications and managing AI data layers and pipelines with cloud-native technologies.
• Strong technical expertise in Agentic AI, RAG patterns, and developing frontend apps with Cloud platforms (AWS, Azure, GCP) and Databases/Warehouses (Snowflake, Postgres).
• Hands on experience with LLM and embedding models.
• Possesses in-depth knowledge of agent-based AI architectures, agent orchestration, and multi-agent frameworks.
• Production experience with containerized deployments, including Docker and Kubernetes.
• Experience with AWS Bedrock and agent/workflow orchestration tools (e.g., n8n), covering model selection, prompt and version management, tool integration, and production agent execution.
• Bachelor's or master's degree in computer science or related technical field.
• Proven understanding of modern Digital & Data engineering.
• 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.

Responsibilities

• Collaborate with cross-functional teams within Sun Life's IT function to understand IT process improvements using AI and translate them into effective solutions that can work at scale.
• Implement and maintain robust pipelines for AI ready data, ensuring the integrity, security, and accessibility of data used for AI applications.
• Working with Sun Life’s Engineering Innovation and Architecture team, continuously research and evaluate emerging Generative AI and Agentic AI tools and techniques to identify opportunities for improvement and innovation.
• Provide technical leadership and mentorship to junior team members, contributing to the growth and adoption of the AI capabilities within the firm.
• Participate in the development of AI governance policies and best practices to ensure compliance with regulatory requirements and industry standards along with cost effectiveness.
• Sun Life inner sourcing: Partnering with SunLife Enterprise teams and drive the needs by creating a collaborative development approach.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal