Senior Analyst, Derivatives Confirmations, CA

0000050007 Royal Bank of Canada; Bedford; On-site; CAD 110,000 - 150,000; Full time

Job summary

Unknown is seeking an AI Platform Engineer with DevOps experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The role emphasizes strong software engineering, CI/CD expertise, and knowledge of LLMOps and MLOps frameworks.

Responsibilities include building and maintaining CI/CD pipelines, deploying AI platforms, and coaching teams on DevOps practices to improve developer experience and production readiness.

Qualifications

• Strong software engineering experience across the SDLC.
• Hands-on DevOps and CI/CD pipeline development.
• Experience with GitHub Actions and Jenkins.
• Familiarity with Docker and Kubernetes.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
• Experience working in Agile/Scrum environments.

Responsibilities

• Develop value-added services that integrate with existing DevOps platforms and tools.
• Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs).
• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services to support enterprise application teams.
• Coach application teams on DevOps tools, automation, and best practices.
• Promote developer experience, engineering excellence, and continuous improvement.
• Participate in proofs of concepts (POCs), evaluate new tools, and recommend suitable technologies.
• Enhance and evolve DevOps services to meet application team requirements.

Skills

DevOps

CI/CD

GitHub Actions

Jenkins

Docker

Kubernetes

LLMOps

MLOps

Python

Agile/Scrum

Tools

GitHub Actions

Jenkins

Docker

Kubernetes

Job description

Job Title: AI Platform Engineer with DevOps Experience

Job Type: Full Time

Location: Halifax (Onsite 4 Days)

Job Description

We are seeking an experienced AI Platform Engineer with DevOps Experience to design, develop, and operate enterprise AI/GenAI platforms while enhancing DevOps services and automation capabilities. The ideal candidate will have strong software engineering skills, hands-on experience with CI/CD pipelines, and knowledge of LLMOps and MLOps frameworks for deploying and managing AI-powered applications.

Key Responsibilities

• Develop value-added services that integrate with existing DevOps platforms and tools.
• Design, develop, and maintain CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.
• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs).
• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
• Build reusable AI services to support enterprise application teams.
• Coach application teams on DevOps tools, automation, and best practices.
• Promote developer experience, engineering excellence, and continuous improvement.
• Participate in proof of concepts (POCs), evaluate new tools, and recommend suitable technologies.
• Enhance and evolve DevOps services to meet application team requirements.
• Collaborate with cross-functional teams to deliver reliable, scalable, and production-ready solutions.

Required Skills

• Strong software engineering experience across the software development lifecycle (SDLC).
• Strong experience with DevOps practices and CI/CD pipeline development.
• Hands-on experience with GitHub Actions and Jenkins.
• Experience with Docker or Kubernetes.
• Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
• Understanding of application and system design patterns.
• Experience working in Agile/Scrum environments.
• Strong analytical, communication, ownership, and problem-solving skills.