About the role

Senior AI Engineer working on exciting initiatives at Sun Life Financial. Collaborating with a dedicated team to design and implement cutting-edge AI solutions.

Responsibilities

Work closely with the Enterprise Architect to design and implement solutions that align with the platform capabilities roadmap
Research and pilot the latest GenAI technologies and practices
Champion a culture of continuous improvement, motivating change and fostering innovation within the team
Design, deploy, and manage API infrastructure on AWS platforms
Create and maintain technical design artifacts that describe application functionality, solution designs, data models, interfaces, and integrations
Use and enhance our DevOps practices and tools to enforce software guardrails, increase automation, and help engineers build code faster, at a lower cost, and lower risk
Own deployment processes and establish best practices for continuous integration and continuous deployment (CI/CD)
Handle model components versioning across dev and prod environments
Support infrastructure automation and infrastructure-as-code practices
Stay current with industry advancements in cloud technologies, AWS services, and AI/ML
Provide post-production support for deployed applications, including troubleshooting, performance optimization, and continuous improvement

Bachelor’s degree in computer science or a relevant field
Exceptional communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders
Hands-on expertise with Python, AWS Lambda, Java and APIs
Experience with developing AI bots/agents
Strong expertise in AWS services and cloud infrastructure
Proficiency in API development and management
Familiarity with chatbot development concepts, RAG techniques and vector databases
Experience with DevOps culture, tools, and best practices
Experience with deployment automation and CI/CD pipelines
Knowledge of containerization and orchestration technologies
Familiarity with GenAI models and deployment considerations
Proven leadership skills, with the ability to guide agile teams across multiple locations
Strong problem-solving abilities and analytical skills with a keen eye for detail and the ability to assess alternatives, risks, and benefits
Commitment to fostering a collaborative, transparent, and trust-based team culture
Demonstrated success in coaching and mentoring junior engineers in an Agile team setting

Wellness programs that support the three pillars of your health – mental, physical, and financial
The opportunity to move along a variety of career paths with amazing networking potential
Hybrid working arrangements with the choice to work at home or in the office