Senior engineers evaluating AI coding - agent interactions for G2i. Providing rigorous feedback on reasoning, explanations, and engineering judgment.
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
Requirements
- 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
Benefits
- 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
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