Principal Consultant - Gen AI

About the role

Principal Consultant - Gen AI at Sun Life leads AI work in asset management and technology to drive data and AI-driven decision making across Pan-Sun Life portfolios. Day-to-day involves designing, developing, and implementing generative AI and ML solutions, building AI-ready data pipelines, researching emerging Agentic AI tools, and providing technical leadership and mentorship. Based in Gurugram, Haryana or Bengaluru, Karnataka.

What you’ll do

• 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.
• Work with Sun Life's Engineering Innovation and Architecture team to continuously research and evaluate emerging Generative AI and Agentic AI tools and techniques to identify opportunities for improve
• 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.
• Partner with SunLife Enterprise teams through inner sourcing to drive needs by creating a collaborative development approach.

What you’ll bring

• Over 10 years' experience in enterprise organizations focused on data, AI, and cloud adoption, preferably in financial services or asset management.
• 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.
• 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.

Skills

Education

Bachelor's or master's degree in computer science or related technical field.