Job DescriptionWe are looking for an experienced engineer to work closely with the Enterprise Architect to design solutions aligned with our platform roadmap, research and pilot GenAI technologies, and champion constant improvement.ResponsibilitiesCollaborate with the Enterprise Architect to design and implement solutions that match 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 DevOps practices and tools to enforce software guardrails, increase automation, and improve deployment speed, cost, and risk.Own deployment processes and establish best practices for continuous integration and continuous deployment (CI/CD).Handle model component 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.QualificationsBachelor’s degree in computer science or a related 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 developing AI bots/agents.Solid 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, guiding agile teams across multiple locations.Strong problem‑solving abilities and analytical skills with attention to detail, assessing 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.BenefitsRecognized by Excellence Canada with the Canada Order of Excellence for Mental Health at Work® for prioritizing employee well‑being.Wellness programs supporting mental, physical, and financial health.Opportunity to advance along diverse career paths with networking potential.Hybrid work model allowing choice between office, remote, or hybrid based on business and client needs.Base pay range: 90,000–140,000 CAD.We welcome applications from qualified individuals from all backgrounds. Persons with disabilities who need accommodation in the application process may email [email protected].#J-18808-Ljbffr

📌 Senior Ai Engineer - C$90,000 - C$140,000 A Year (Winnipeg)
🏢 Sun Life
📍 Winnipeg