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Sun Life

Gen AI Development Specialist

Sun Life

Lead AI-related initiatives in asset management at Sun Life, collaborating with IT and investment professionals. Drive innovation through generative AI and ML solutions.

Posted 6/8/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPostgres

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 5-8 years’ experience in enterprise organizations focused on data, AI, and cloud adoption preferably in the financial services or asset management industry.
  • over 4 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.
  • 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.

Benefits

Comp & perks
  • flexible work environment
  • empowered by highly engaged people

ATS Keywords

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Hard Skills & Tools
AIcloud-native technologiesAgentic AIRAG patternsfrontend developmentLLMembedding modelscontainerized deploymentsDockerKubernetes
Soft Skills
technical leadershipmentorshipcommunicationnegotiationinfluencearbitrationdecision makingoutcome drivenleading change
Certifications
Bachelor's degree in computer scienceMaster's degree in computer science