Senior Cloud Infrastructure Analyst, AI Development Solutions

Sun Life Financial, Inc.

$90K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in cloud and analytics technologies
  • Expertise in AWS services and tools such as IAM, S3, and CloudFormation
  • Strong foundation in Infrastructure as Code and CI/CD practices
  • Experience in machine learning and AI/ML application support
  • Ability to work in regulated environments and understand security best practices
  • Demonstrated analytical and problem-solving abilities
  • Excellent communication skills for diverse audiences

Responsibilities

  • Act as a Subject Matter Expert for enterprise AI services
  • Support integration of AI solutions using cloud services
  • Maintain and enhance Amazon Bedrock capabilities
  • Develop Amazon Bedrock Agent for various use cases
  • Enable Amazon Q solutions for enterprise AI
  • Support production aspects of AI services and frameworks
  • Apply DevOps practices to enhance service reliability
  • Lead Proof of Concepts and CI/CD improvements

Benefits

  • Recognized as a Best Workplace in Ontario by Great Place to Work® Canada
  • Wellness programs promoting mental, physical, and financial health
  • Opportunities for career growth with networking potential
  • Flexible hybrid work model based on business and client needs
Full Job Description

Job Description:

Are you an experienced cloud and analytics professional passionate about enabling enterprise scale analytics and machine learning platforms?

This role exists to ensure enterprise AI and analytics platforms are reliable, secure, and scalable, enabling teams across the organization to deliver AI powered outcomes faster and more safely.

Note: This role requires . In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time.

What You’ll Do

  • Act as SME for enterprise AI services and solutions owned and operated by the team.
  • Support and integrate AI Solutions across the enterprise using a suite of AI-focused cloud services.
  • Enable and maintain Amazon Bedrock Capabilities (Agents, Knowledge Bases, etc.).
  • Develop and support Amazon Bedrock Agent core for existing and future use cases.
  • Enable and support Amazon Q Business solutions for enterprise AI use cases.
  • Develop and support Amazon Quick Suite with focus on agentic workflows.
  • Support productionizing existing services and patterns enabled by the team.
  • Support Pattern as a Product framework for reusable cloud solutions.
  • Apply DevOps and automation-first practices to improve reliability of services and solutions.
  • Lead Proof of Concepts, KTLO (Keep The Lights On) activities, and CI/CD improvements while providing training and support to optimize cloud infrastructure.
  •  On-going support for teams leveraging platform AI solutions across the organization.

Collaboration & Influence

  • Collaborate closely with Cloud, Security, Architecture, Data Science, and Analytics partners.
  • Provide guidance and informal mentorship to team members, as appropriate.
  • Influence platform standards by contributing to reference architectures, reusable patterns, and operational playbooks.

What You Need to Succeed

  • Strong communication and collaboration skills, with the ability to translate technical concepts for diverse audiences.
  • Proven analytical and problem-solving skills, with experience assessing trade-offs, managing risk, and resolving complex issues.
  • Ability to work independently while contributing effectively within a team environment.
  • Demonstrated alignment to BOLDER behaviours, including:
    • Driving outcomes through ownership and accountability
    • Embracing Digital Ways of Working (WOW) and continuous improvement
    • Applying professional judgment with an enterprise mindset

Preferred Skills

  • Hands on experience with AWS development tools (IAM, s3, CloudFormation, Lambda, Service Catalog)
  • Infrastructure as Code (CloudFormation and/or Terraform)
  • CI/CD (such as Jenkins) and Git based and Bitbucket‑workflows
  • Powershell, Python or other shell scripting for automation
  • Experience supporting AI/ML or analytics platforms
  • Experience in regulated or security focused‑ environments

We value analytical thinking and continuous learning. Through training and coaching, you can improve your data literacy and apply insights in meaningful ways, regardless of experience level.

What’s in it for you

• We’re honoured to be recognized as a 2024 Best Workplaces in Ontario by Great Place to Work® Canada.
• We’re proud to be recognized as a company with a 2023 Most Trusted Executive Team by Great Place to Work® Canada.
• Wellness programs supporting mental, physical, and financial health
• Opportunities to grow across multiple career paths with strong networking potential
• A hybrid work model, guided by business and Client needs

#LI‑SJ #LI‑Hybrid #LI‑Remote


The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

IT - Technology Services

Posting End Date:

23/08/2026

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