At a Glance
- Tasks: Design and develop an enterprise AI platform to innovate customer service and accelerate growth.
- Company: Join Canada Life, a trusted leader in improving Canadians' well-being.
- Benefits: Enjoy competitive salary, health benefits, education reimbursement, and flexible work options.
- Other info: Dynamic workplace with strong community support and career development opportunities.
- Why this job: Make a real impact with cutting-edge AI technology while advancing your career.
- Qualifications: 5+ years in software engineering and experience with AI solutions required.
The predicted salary is between 63000 - 77000 £ per year.
Canada Life has an ambition to apply human led AI to innovate, elevate customer service, and accelerate growth across the organization. Achieving this ambition requires a secure, scalable, and enterprise grade AI platform that enables teams to build, deploy, and operate AI solutions efficiently and responsibly.
Reporting to the Director, AI Platform Engineering, the Senior AI Platform Developer plays a key role in designing, building, and operating the enterprise AI platform. This role is accountable for developing reusable AI capabilities, shared services, engineering patterns, and platform components that accelerate AI solution delivery while supporting security, reliability, observability, and compliance expectations. This role provides senior technical leadership, hands on engineering expertise, and mentorship to developers and delivery teams, without requiring formal people management accountability.
What you will do:
- Design, develop, and maintain enterprise AI platform capabilities, services, and reusable technical components.
- Build shared accelerators, APIs, SDKs, templates, and reference implementations that enable consistent AI solution delivery across the enterprise.
- Implement platform capabilities for model integration, orchestration, retrieval augmented generation, prompt management, agent frameworks, and model lifecycle support.
- Develop automation and CI/CD patterns for building, testing, deploying, and operating AI based solutions.
- Support the integration of AI platforms with enterprise data, identity, security, monitoring, and infrastructure services.
- Partner with AI solution delivery, architecture, security, cloud, infrastructure, and data teams to onboard and support priority AI use cases.
- Implement observability, evaluation, telemetry, monitoring, and operational support patterns for AI solutions in production.
- Contribute to AI engineering standards, platform roadmaps, technical documentation, and reusable design patterns.
- Evaluate emerging AI technologies and recommend practical enhancements to enterprise platform capabilities.
- Mentor developers and help raise engineering quality through code reviews, technical guidance, and hands on support.
What you will bring:
- Degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
- 5 or more years of software engineering experience, with strong hands on development capability.
- 3 or more years of experience developing AI, machine learning, advanced analytics, or Generative AI solutions.
- Strong experience with Python, APIs, cloud native development, distributed systems, and modern software engineering practices.
- Experience with Azure AI Foundry, Azure OpenAI, Databricks, vector databases, model serving platforms, or similar technologies.
- Experience with DevOps, CI/CD, infrastructure as code, automated testing, and secure software delivery practices.
- Understanding of AI observability, model evaluation, prompt evaluation, monitoring, and operational support practices.
- Ability to translate architectural direction into practical, reusable engineering components.
- Strong collaboration, communication, and problem solving skills in a matrixed environment.
- Experience in financial services or another regulated industry is an asset.
What we offer:
- Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to $2,000 annually towards education reimbursement.
- Health & Wellness: Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being.
- Time Off: In addition to regular vacation and personal days, we support community involvement with a volunteer day.
- Financial Security: Company-matching pension plan, share ownership program and additional investment options.
- Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!
- Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.
We’re committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.
Canada Life would like to thank all applicants, however only those who qualify for an interview will be contacted.
Senior AI Platform Developer in London employer: Canada Life
Canada Life UK is an exceptional employer that prioritises the well-being and growth of its employees, offering a modern and agile work environment in vibrant locations like Bristol, London, and Watford. With a strong focus on building better futures, the company fosters a welcoming culture and provides ample opportunities for professional development, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Developer in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Canada Life or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Canada Life.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Canada Life.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Canada Life that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Platform Developer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Canada Life.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Canada Life and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Canada Life
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Canada Life uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
