AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE

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

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

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

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

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Design and implement scalable LLMOps and MLOps frameworks covering:

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Model deployment and versioning

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Model monitoring and evaluation

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Governance and lifecycle management

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

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

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

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

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Continuously improve existing DevOps services, platform capabilities, and engineering standards.

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

Required Technical Skills & Experience

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

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

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Java

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Python

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JavaScript / TypeScript

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C#

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C / C++

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

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Hands-on experience with GitHub Actions and Jenkins.

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Experience with Docker and/or Kubernetes.

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

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

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

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Experience working with Agile methodologies, particularly Scrum.

Preferred Skills

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Experience building or supporting enterprise AI/GenAI platforms.

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Exposure to LLM deployment, orchestration, and lifecycle management.

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

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Experience developing reusable platform engineering solutions and automation frameworks.

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

Candidate Profile

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Strong analytical and problem-solving abilities.

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Excellent communication and collaboration skills.

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

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Ability to work with application teams and provide technical guidance.

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Passion for automation, platform innovation, and continuous improvement.