Senior AI Developer

About The Company Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times. Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us. Pay at Intact is about much more than just salary. Flexible work arrangements and a hybrid work modelPossibility to purchase up to 5 extra days off per yearMultiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much moreShare plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life) Salary Range (but Not Limited To) 118,700 - 145,100 Annual Bonus Target, Based On The Base Salary, With a Potential Payout Of Up To Double The Target (subject To Personal And Company Performance) 12% As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares. Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan. Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well. About The Role We're looking for a Senior AI Developer to join our growing team! This is a pivotal role within our innovative technology division, designed to enhance our AI capabilities and drive strategic initiatives forward. The successful candidate will play a key part in developing, deploying, and maintaining advanced AI solutions that support our business objectives and improve operational efficiencies. What You'll Do Here Evolve the MLOps platform to improve the business' operational processes, ensuring robustness, performance, scalability, reliability, and observability.Own end-to-end delivery of software products ranging from workflow orchestrator, APIs/services to front end UI.Work closely with data scientists and analysts to ensure AI solutions are effectively addressing business needs by leveraging high-quality data and aligning with strategic goals.Ensure seamless integration of AI-driven solutions with existing insurance operations systems, coordinating with IT and operations teams to align on technical requirements and deployment strategies.Stay up to date with advancements in AI and machine learning technologies, applying new techniques and methodologies to enhance the capabilities and efficiency of deployed solutions, while also contributing to the team's knowledge base.Use CI/CD tools and agile methodology to ensure fast and reliable delivery of features and updates.Play a Technical Leader / Mentor role for Squad members and influence the technical roadmap. What You Bring To The Table Bachelor's degree in computer engineering, computer science, or any combination of equivalent education and experience.Minimum 6 years of significant experience in development.Strong proficiency in Python; extensive experience in Angular/React is considered an asset.Proficiency with Cloud Infrastructure (ideally AWS), containers, IaC (Terraform), CI/CD, and observability tools.Strong communication skills with the ability to translate business problems into technical solutions; proactive, change agent, and collaborative team player.Experience with automated testing on the backend and UI, and familiarity with observability practices and tools.Good understanding of GenAI building blocks: prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog and Delta Lake is considered an asset.Proficient in AI-assisted coding.A good knowledge of MLOps best practices.For candidates located in Quebec, bilingualism (FR-EN) is required due to frequent collaboration with English-speaking colleagues across Canada.No Canadian work experience required; however, candidates must be eligible to work in Canada. Benefits At Intact, we prioritize the well