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Added 5 mins ago
S
Business System Analyst
SMARTFOX
Canada
- Full-time
Act as the functional owner for one or more business platforms such as Salesforce, NetSuite, SAP, Workday, Microsoft Dynamics, ServiceNow, HubSpot, or Oracle
Added 50 mins ago
TT
Senior Informatica Cloud Developer – CDI & CAI – CONTRACT
Toronto Test Consultants
Canada
- Contract
Title: Senior Informatica Cloud Developer – CDI & CAI
Added 1 hour ago
AC
Senior System Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
Added 1 hour ago
T
IT Support Analyst IV
TD
Toronto, ON
- Full-time
Added 1 hour ago
RM
Analyst Technology
Regional Municipality of Peel
Brampton, ON
- Other
…mobility devices and MDM solutions (i.e., iPhones, iPads), ServiceNow ticketing…
Added 1 hour ago
Contracts and sourcing Specialist
Bell
Regina, SK
Proficiency with ERP, sourcing, contract-management, and reporting tools; experience with SAP, ServiceNow, or equivalent platforms is an asset.
Added 2 hours ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
Added 2 hours ago
V
Software Engineer
VySystems
Canada
- Contract
Design, develop, and implement solutions on the ServiceNow platform, specifically focusing on Governance, Risk, and Compliance (GRC) and Integrated Risk Management (IRM).
Added 2 hours ago
2I
ServiceNow Developer
2iSolutions Inc.
Ottawa, ON
- Contract
Our Ottawa-based client is hiring a Senior ServiceNow Developer / Platform Specialist for a 6-month hybrid contract opportunity.
Added 2 hours ago
I
Package Specialist-SAP HANA SCM MM
IBM
Calgary, AB
- $79,800 to $125,400 CAD / year
- Full-time
Added 3 hours ago
GT
Information Security Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Added 7 hours ago
RB
Senior Cyber Security Network Analyst (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
ITIL Incident, Change and Problem Management knowledge with ServiceNow Platform
Added 11 hours ago
NP
Sr Manager, HR Services
Northland Power Inc.
Toronto, ON
- Full-time
Added 15 hours ago
EC
Spécialiste infrastructure / Infrastructure Specialist
Eaton Corporation
Brossard, QC
- Full-time
Appliquer les pratiques de gestion quotidienne Lean, notamment le 5S, l’analyse des causes profondes et les marches Gemba, et maintenir des dossiers ServiceNow exacts.
Added 18 hours ago
Desktop Support Specialist
Amica Senior Lifestyles
Toronto, ON
Create, update, and resolve incidents and service requests using ServiceNow.
Added 18 hours ago
S
Principal Research Scientist
ServiceNow
Montreal, QC
- Full-time
…potentiel de transformer notre façon de travailler. Aujourd’hui, ServiceNow se présente comme un leader mondial du marché, apportant une technologie innovante améliorée par l’IA à plus de 8…
Added 19 hours ago
T
Oracle / PostgreSQL Database Administrator
TD
Mississauga, ON · Toronto, ON
- Full-time
Added 19 hours ago
HR Operations Analyst (Contract)
Trans Mountain
Calgary, AB
Knowledge of an HRIS system or equivalent, specific knowledge of Microsoft Dynamics 365, ADP, ServiceNow an asset.
Added 19 hours ago
L
Raw Materials Assistant Coordinator
lululemon
Vancouver, BC
- Full-time
Added 19 hours ago
BS
Technology Delivery Lead
Brainhunter Systems Ltd
Toronto, ON
- Contract
Experience with ServiceNow platform and ITIL Certification considered strong assets
Added 19 hours ago
T
Oracle / PostgreSQL Database Administrator
TD
Mississauga, ON
- Full-time
Added 19 hours ago
UO
ERP System Administrator - Information Technologies
University of Calgary
Calgary, AB
- Full-time
Reviews system alerts, logs, the ERP team's ServiceNow queue, and related service records; triages issues and completes assigned incidents and requests within established priorities.
Added 20 hours ago
LS
ServiceNow Developer
LeverageTek Staffing Solutions
Ottawa, ON
- Contract
LeverageTek is actively seeking a Senior ServiceNow Developer for a 6-month contract with its Ottawa-based customer.
Added 20 hours ago
B
Intern, Information Systems Analyst (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
Use and combine tools such as ServiceNow, Power Automate, Power BI, Excel and scripting technologies to automate processes and transform data.
Added 20 hours ago
EA
Consultant, ICT Systems Engineering, Level 3, Epic, Non-mgmt
Epic A Bell MTS Company
Winnipeg, MB
- Full-time
· Experience with Connectwise, Connectwise Automate, or ServiceNow

Randstad Enterprise

Applied AI Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Title: Applied AI Engineer

Position Summary

The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes, implementing AI capabilities, integrating enterprise systems, and creating reusable components that accelerate delivery. The successful candidate will work with internal clients to understand use cases, develop practical solutions, and support application teams as they move AI capabilities toward production using enterprise AI platforms and services. The ideal candidate is a capable software engineer with practical experience building Generative AI applications, a willingness to learn emerging technologies, and the ability to collaborate effectively with business and technology partners.

Key Responsibilities

Work with business and technology stakeholders to understand Generative AI use cases and translate requirements into practical implementations.
Develop proofs of concept, prototypes, and reference applications that demonstrate business value and accelerate AI adoption.
Build and enhance AI-powered applications, copilots, assistants, and agentic workflows using Morgan Stanley’s enterprise AI platforms and services.
Implement Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, embeddings, semantic search, and retrieval techniques.
Develop AI agents and orchestration workflows using frameworks such as LangGraph, LangChain, Semantic Kernel, Claude Code SDK, OpenAI SDK, or similar technologies.
Implement prompt engineering techniques, structured outputs, tool calling, context management, and workflow orchestration patterns.
Build APIs, connectors, and integrations between AI applications and enterprise systems, data platforms, and business workflows.
Create reusable components, templates, implementation patterns, and developer examples that help application teams deliver AI solutions more efficiently.
Develop automated tests and evaluation capabilities to measure solution quality, grounding, reliability, safety, and performance.
Troubleshoot implementation issues and support application teams as prototypes and reference solutions transition toward production.
Collaborate with firmwide AI platform teams to use foundational AI capabilities and follow enterprise engineering, security, governance, and Responsible AI standards.
Stay current with emerging AI technologies and apply relevant tools and techniques to business use cases.

Required Qualifications

3 to 5 years of software engineering experience with hands-on application development responsibilities.
1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
Proficiency in Python and experience building APIs, integrations, and enterprise applications.
Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar technologies.
Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
Experience building proofs of concept, prototypes, or reference implementations.
Experience integrating applications with enterprise systems, data platforms, and APIs.
Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
Ability to work with business stakeholders and application development teams to translate requirements into working software.
Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
Exposure to multi-agent systems and agent orchestration workflows.
Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
Experience working in financial services or another regulated industry.

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More about this job

Responsibilities

Develop and integrate Generative AI applications, copilots, agents, and RAG solutions using enterprise platforms, APIs, and business systems. Create reusable implementation components, test and evaluate solution quality and safety, and collaborate with stakeholders and platform teams to support prototypes as they move toward production.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of hands-on Generative AI application development, with proficiency in Python, APIs, AI frameworks, and common LLM and RAG patterns. Candidates should also have experience with agent workflows, enterprise integrations, testing and evaluation, cloud services, CI/CD, and awareness of Responsible AI, security, and governance.

Skills

Python
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
Automated Testing
CI/CD
Cloud Services

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Semantic Search
LangGraph
LangChain
Semantic Kernel
Claude Code SDK
OpenAI SDK
Model Context Protocol
AI Gateways
Agent-to-Agent Communication
Tool Calling
AI Agents
Agent Orchestration
APIs
Enterprise Integrations
Automated Testing
AI Evaluation
Responsible AI
AI Governance
GitHub
CI/CD
Containers
Azure
AWS

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