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Added 54 mins ago
IB
Senior Scrum Master - Agile Delivery Lead
Invisia BPO
NB · Chiasson Office, NB
- Full-time
Run the day-to-day sprint operating cadence across Web, mobile, backend, QA, DevOps and Design contributors where applicable.
Added 2 hours ago
NB
Chief Solution Architect
National Bank of Canada
Montreal, QC
- Full-time
…Architecture Governance, Artificial Intelligence, Decision Making, DevOps, Distributed Relational Database Architecture, Domain-Driven Design, Influencing, Java, Kubernetes, Microservices,…
Added 2 hours ago
Senior Business Systems Analyst
College of Pharmacists of British Columbia
Vancouver, BC
Added 2 hours ago
CO
Systems Administrator
City of Winnipeg
Winnipeg, MB
- Full-time
Certification in IT Service Management or a relevant technical domain (Microsoft Azure Administrator, DevOps, Terraform, Platform Engineering, Red Hat OpenShift Administrator, etc.) is an…
Added 4 hours ago
RC
lead development and operations (DevOps) engineer
Raenan Consultancy
Toronto, ON
- Full-time
Added 4 hours ago
BT
Full-Stack Developer (1-Year Contract)
Baker Tilly Canada
Vancouver, BC
- Contract
Exposure to cloud platforms, DevOps practices, CI/CD pipelines, and digital transformation initiatives is considered an asset.
Added 5 hours ago
H
Technical Partners Needed for SaaS, Web, Mobile App & AI Development – Champaius
HireHolic
Toronto, ON
- Full-time
Added 6 hours ago
DevOps Track Sr.Engineer
HEXAWARE
Canada
…environments with experience in public clouds AWS, Azure by following DevOps shift left culture by creating CI/CD Pipelines, automating Build and release management with Linux/Windows…
Added 7 hours ago
A
Delivery Lead en santé
Accenture
Montreal, QC
- Full-time
Added 7 hours ago
T
Manager - Stress Testing Data, Controls and Analytics
TD
Toronto, ON
- Full-time
Added 7 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 8 hours ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
Added 8 hours ago
P
Business Analyst
ProxyLink
Toronto, ON
- $70 to $80 CAD / hour
- Contract
Hands-on experience with JIRA, Confluence, and Azure DevOps.
Added 8 hours ago
P
Java Software Engineer
ProxyLink
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Lead CI/CD implementation using Azure DevOps and GitHub.
Added 9 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Management Database (CMDB), Strategic Portfolio Management (SPM), DevOps tools, CI/CD pipelines, and other enterprise…
Added 9 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Management Database (CMDB), Strategic Portfolio Management (SPM), DevOps tools, CI/CD pipelines, and other enterprise…
Added 9 hours ago
SM
RQ11556 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Proficient in both front-end and back-end development, including associated areas such as database design and management and DevOps.
Added 9 hours ago
LI
Full Stack Software Developer (Java/React)
Lotus IT Solutions
Toronto, ON
- Contract
Lead CI/CD implementation using Azure DevOps and GitHub, and establish automated deployment and testing practices
Added 9 hours ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Develop web-based applications using technologies like .NET, Oracle, Microsoft SQL Server, VB.NET, C#, JavaScript, and Azure DevOps.
Added 9 hours ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Develop web-based applications using technologies like .NET, Oracle, Microsoft SQL Server, VB.NET, C#, JavaScript, and Azure DevOps.
Added 9 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Management Database (CMDB), Strategic Portfolio Management (SPM), DevOps tools, CI/CD pipelines, and other enterprise…
Added 9 hours ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Develop web-based applications using technologies like .NET, Oracle, Microsoft SQL Server, VB.NET, C#, JavaScript, and Azure DevOps.
Added 9 hours ago
SM
RQ11556 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Proficient in both front-end and back-end development, including associated areas such as database design and management and DevOps.
Added 9 hours ago
C
Spécialiste en données Snowflake Fabric
CGI
Montreal, QC · Ville-Marie, QC
- Full-time
DevOps & DataOps : CI/CD (Azure DevOps, GitHub Actions) Versioning Git Automatisation des tests de données
Added 9 hours ago
SM
RQ11667 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with JIRA, Confluence, and Azure DevOps for requirements tracking and project collaboration.

Closed listing

AceStack

AI Platform Engineer / Halifax, NS (Onsite – 4 Days) - FTE

Halifax, NS, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

Role: AI Platform Engineer

Location: Halifax, NS

Work Model: Onsite – 4 Days/Week

Role Overview

We are seeking a hands-on AI Platform Engineer to help build and scale an enterprise agentic AI platform that enables development teams to adopt AI-driven Software Development Life Cycle (SDLC) practices.

This role sits within DevOps/Platform Engineering and focuses on building the reusable platform, agents, tools, skills, and automation that development teams can leverage across the software delivery lifecycle. The ideal candidate is a strong software engineer who has hands-on experience with agentic AI, coding assistants, MCP servers, and modern agent frameworks and can turn individual AI-assisted development workflows into production-grade enterprise capabilities.

Key Responsibilities

•

Design and develop AI agents across the complete SDLC, including:

◦

Requirements/specification creation

◦

Technical specification generation

◦

Planning and task generation

◦

Code implementation

◦

Build and testing

◦

Deployment and release

◦

Post-implementation verification (PIV)

◦

Post-deployment and operational activities

•

Build reusable AI agents, skills, and tools using coding harnesses such as Claude Code, custom skills, MCP servers, and managed agent platforms such as Devin.

•

Develop native agentic solutions using frameworks such as LangChain and LangGraph or comparable technologies.

•

Implement and extend spec-driven development (SDD) workflows, such as: Specify → Clarify → Plan → Tasks → Analyze → Implement, following approaches similar to GitHub Spec Kit.

•

Build platform capabilities that enforce AI-driven development lifecycle gates such as Spec Ready and PR Ready through automated, machine-validated controls.

•

Develop production-grade platform services, integrations, APIs, tools, and automation using Python and/or TypeScript/JavaScript.

•

Continuously evaluate how frontier AI models and coding agents can automate software engineering activities and convert successful experiments into reusable enterprise capabilities.

•

Partner closely with DevOps, Cloud, Security, Platform Engineering, and Development teams to safely deploy agents, tools, and skills into production.

•

Build and maintain a centralized skill/tool catalog that can be consumed by development teams across the organization.

•

Evaluate emerging agentic AI platforms, frameworks, coding harnesses, and architectural patterns and provide build-vs-buy/adopt recommendations.

•

Establish appropriate security, governance, observability, reliability, and operational controls for enterprise AI agents.

•

Demonstrate new capabilities to development teams and clearly explain how the underlying agents, tools, workflows, and integrations operate.

•

Act as a hands-on technical advisor and champion for teams adopting AI-driven SDLC / AI-DLC, helping teams troubleshoot issues and maximize platform adoption.

Must-Have Qualifications

•

Strong software engineering background with hands-on experience developing production-grade applications and services using Python and/or TypeScript/JavaScript.

•

Demonstrated hands-on experience building agentic AI solutions using LangChain, LangGraph, or comparable agent frameworks.

•

Practical experience with Model Context Protocol (MCP), including developing or integrating MCP servers, tools, and custom capabilities.

•

Hands-on experience creating custom skills, tools, workflows, or extensions for coding assistants/harnesses, particularly Claude Code or comparable AI coding platforms.

•

Strong practical experience using frontier AI coding assistants for real software engineering activities, including multi-step or multi-agent development workflows.

•

Experience designing and implementing AI-powered SDLC, developer productivity, software automation, or developer-platform solutions.

•

Strong understanding of LLM/agent architecture, tool calling, context management, orchestration, agent workflows, and automation.

•

Experience integrating AI agents with APIs, CI/CD pipelines, source-control systems, developer tools, and enterprise platforms.

•

Strong understanding of DevOps, software development lifecycle, CI/CD, cloud platforms, and production operations.

Preferred Qualifications

•

Experience with GitHub Spec Kit / spec-driven development or similar specification-first development methodologies.

•

Experience with Devin, Claude Code, LangChain, LangGraph, MCP, or other modern agentic development platforms.

•

Experience building multi-agent systems and agent orchestration workflows.

•

Experience with AWS, Azure, or GCP and enterprise cloud-native architectures.

•

Experience with Docker, Kubernetes, GitHub Actions, Jenkins, or similar DevOps technologies.

•

Knowledge of AI security, responsible AI, access controls, governance, observability, and enterprise AI deployment patterns.

•

Experience working in large-scale enterprise or regulated environments, preferably financial services.

Key Technical Skills

Must Have:

Python and/or TypeScript/JavaScript

Agentic AI – LangChain/LangGraph or equivalent

MCP Servers & Custom Tools/Skills

Claude Code / AI Coding Harnesses

AI-driven SDLC / Developer Platform Engineering

Nice to Have: Spec Kit / SDD, Devin, Multi-Agent Systems, CI/CD, Cloud, Docker/Kubernetes, Enterprise AI Governance.

About employer

More about this job

Responsibilities

Build and scale an enterprise AI platform, including reusable agents, tools, skills, integrations, and automated controls that support AI-driven software development across the SDLC. Partner with engineering and operations teams to deploy secure, reliable agentic capabilities, maintain a shared tool catalog, and guide teams in adopting the platform.

Requirements

Requires strong production software engineering experience with Python and/or TypeScript/JavaScript, hands-on agentic AI development, MCP integrations, and custom coding-assistant tools or workflows. Candidates should understand LLM orchestration, AI-enabled SDLC and developer platforms, CI/CD, cloud, and production operations; experience with spec-driven development, multi-agent systems, and enterprise AI governance is preferred.

Skills

Python
TypeScript
JavaScript
Agentic AI
LangChain
LangGraph
Model Context Protocol
MCP Servers
Claude Code
AI Coding Assistants
AI-Driven SDLC
Developer Platform Engineering
CI/CD
Cloud Platforms
Docker
Kubernetes

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
AI Platform Engineering
Python
TypeScript
JavaScript
LangChain
LangGraph
Model Context Protocol
MCP Servers
Claude Code
Devin
AI Coding Assistants
AI-Driven SDLC
Spec-Driven Development
GitHub Spec Kit
Multi-Agent Systems
Agent Orchestration
LLM Architecture
Tool Calling
Context Management
CI/CD
DevOps
Developer Productivity
APIs
Source Control
AWS
Azure
GCP
Docker
Kubernetes

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