Job Title: AI Platform Engineer – DevOps Experience

Location: Halifax, Nova Scotia

Work Arrangement: Onsite – 4 Days a Week

Job Summary

We are looking for an experienced AI Platform Engineer with strong DevOps expertise to design, develop, and maintain enterprise-grade AI/GenAI platforms while enhancing existing DevOps capabilities.

The ideal candidate will have hands-on experience in software engineering, CI/CD automation, cloud-native technologies, and DevOps practices, along with knowledge of AI/ML platforms, LLMOps, and MLOps.

This role involves building scalable AI platform services, automating deployment workflows, improving developer experience, and enabling application teams to adopt modern DevOps and AI engineering practices.

Key Responsibilities

•

Design, develop, and maintain enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.

•

Build and enhance CI/CD pipelines using GitHub Actions, Jenkins, TypeScript, Python, and Groovy.

•

Develop reusable DevOps services and integrations to extend existing DevOps toolchains.

•

Design and implement scalable LLMOps and MLOps frameworks covering:

◦

Model deployment and versioning

◦

Model monitoring and evaluation

◦

Governance and lifecycle management

•

Build reusable AI platform components and services to support application development teams.

•

Improve automation, deployment efficiency, and developer experience across the software development lifecycle.

•

Collaborate with application teams to promote DevOps best practices and adoption of enterprise platform services.

•

Evaluate and adopt new tools and technologies through proof of concepts (POCs) and technical recommendations.

•

Continuously improve existing DevOps services,



platform capabilities, and engineering standards.

•

Work in an Agile/Scrum environment and collaborate with cross-functional engineering teams.

Required Technical Skills & Experience

•

Solid software engineering experience across the full Software Development Lifecycle (SDLC).

•

Hands-on development experience with one or more programming languages:

◦

Java

◦

Python

◦

JavaScript / TypeScript

◦

C#

◦

C / C++

•

Strong experience with CI/CD pipeline development and DevOps automation.

•

Hands-on experience with GitHub Actions and Jenkins.

•

Experience with Docker and/or Kubernetes.

•

Understanding of application architecture, system design, and common design patterns.

•

Knowledge of AI/GenAI platforms, Large Language Models (LLMs), LLMOps, and MLOps.

•

Understanding of model deployment, monitoring, versioning, evaluation, and governance.

•

Experience working with Agile methodologies, particularly Scrum.

Preferred Skills

•

Experience building or supporting enterprise AI/GenAI platforms.

•

Exposure to LLM deployment, orchestration, and lifecycle management.

•

Experience integrating AI/ML services into existing DevOps and CI/CD ecosystems.

•

Experience developing reusable platform engineering solutions and automation frameworks.

•

Strong understanding of developer experience (DevEx) and platform engineering principles.

Candidate Profile

•

Strong analytical and problem-solving abilities.

•

Excellent communication and collaboration skills.

•

Self-driven with a strong sense of ownership and accountability.

•

Ability to work with application teams and provide technical guidance.

•

Passion for automation, platform innovation, and continuous improvement.

📌 AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE (Halifax Regional Municipality)
🏢 AceStack
📍 Halifax Regional Municipality