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Added 11 mins ago
A
CCaaS Developer
Accenture
Montreal, QC
- Full-time
A hands-on CCaaS Developer with deep technical expertise in Amazon Connect and Google Cloud Contact Center AI (CCAI). You are passionate about building scalable, intelligent customer…
Added 11 mins ago
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Director, Data Enablement
PwC
Toronto, ON
- Full-time
Added 26 mins ago
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AVP, GTO Strategy & Transformation
Manulife
Toronto, ON
- Full-time
Added 56 mins ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
…and you will measure your success in platform reliability, developer productivity, and dollars…
Added 56 mins ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Senior Okta Engineer (IAM) - Non-Human & AI Agent Identity
Added 56 mins ago
GE
Database Administrator (Temporary)
Greater Essex County District School Board
Windsor, ON
- Full-time
Develop, schedule and monitor data integrations between the Board's systems and connected platforms using SQL Agent jobs, ETL, APIs, SFTP and PowerShell scripting, and coordinate testing…
Added 1 hour ago
K
Staff Accountant, U.S. Corporate Tax
KPMG
Vaughan, ON · ON · Toronto, Ontario
- Full-time
Completed US CPA or willingness to complete US CPA or IRS Enrolled Agent requirements.
Added 1 hour ago
PC
Capital Market Transactions - Manager
PwC Canada
Calgary, AB
- Full-time
Added 1 hour ago
PC
Information Technology Audit Manager (Bilingual FR/EN)
PwC Canada
Montreal, QC
- Full-time
Added 1 hour ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
Rapidly evaluate emerging AI tools, models, agent capabilities, development methods, and integration patterns.
Added 1 hour ago
PC
Capital Market Transactions - Manager
PwC Canada
Vancouver, BC
- Full-time
Added 1 hour ago
MC
Branch Manager II - Ancaster
Meridian Credit Union
Hamilton, ON · Ancaster, ON
- $90,000 to $94,000 CAD / year
- Full-time
…and leveraging experiences and knowledge of others. A change agent and strong communicator, who can modify style to gain understanding and commitment from…
Added 1 hour ago
MH
Head of AI Transformation
Maya HTT
Remote, Canada
- Full-time
- Remote
Maya HTT is a world leading developer of digital industries software solutions. The world’s top tier engineering and manufacturing organizations rely on MAYA’s experience and expertise to…
Added 1 hour ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
Added 1 hour ago
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Information Technology Audit Manager (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
Added 1 hour ago
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Cyber Generalist, Manager
PwC
Toronto, ON
- Full-time
Added 2 hours ago
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Asset Protection Partner
Sephora
Toronto, ON
- $25 to $30 CAD / hour
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 2 hours ago
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AI Governance Lead
Hays
Toronto, ON
- $85 to $90 CAD / hour
- Contract
…security, and logging/monitoring (does not need to be an AI…
Added 3 hours ago
AC
Allstate Sales Agent Trainee
Allstate Canada
Toronto, ON
- Full-time
Become an Allstate Sales Agent Trainee: Kickstart Your Sales Career with Unlimited Earning Potential
Added 3 hours ago
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Senior Software Engineer, Agentic Systems
CareLink (by Asepha)
Toronto, ON
- Full-time
Implement evaluation and observability infrastructure to monitor agent behavior in production
Added 3 hours ago
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Senior Manager, Digital Strategy & Operations
Equinix
Toronto, ON
- Full-time
…workflows or agents (for example, using LLM platforms, prompt and agent design, or low-code and automation tools) that have been adopted by a team or…
Added 3 hours ago
MF
AI Automation & Platform Analyst (Senior Analyst)
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
We are hiring an AI Automation & Platform Engineer/Analyst to design and build the next generation of agent-driven workflows, automation systems, and internal tools.
Added 3 hours ago
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Regional Sales Director - Identity - Canada
Workday
Toronto, ON · Canada, ON, Toronto
- Full-time
…governance capabilities, expected to become part of Workday's Agent System of Record, can help reduce access risk, strengthen compliance, automate identity lifecycle processes, and unlock…
Added 4 hours ago
Software Development Engineer, Agent Labs
Amazon
Vancouver, BC
…conceptualization to implementation - working with the latest AI agent frameworks to create scalable solutions. Your communication skills and technical vision will be essential as you help…
Added 4 hours ago
SI
AI Engineer
Supra ITS
Mississauga, ON
- Full-time
Supra ITs builds an enterprise agent platform that customers run in the cloud or on-prem. Admins create and entitle custom agents (prompts, tools, knowledge). End users chat with those…

Saransh Inc

Applied AI Engineer - Canada

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Applied AI-Engineer Montreal (Canada)

Role Overview And Expectations

Applied AI engineers are hands-on developers who work collaboratively with business and technology teams to accelerate the implementation of Generative AI use cases across Morgan Stanley. Team members participate in discovery discussions, build and test prototypes, integrate AI capabilities with existing applications, and provide practical implementation support to sponsoring application development teams. Success in this role requires solid software engineering fundamentals, practical experience with AI application development, strong problem-solving skills, and the ability to communicate clearly and work effectively across teams.

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

Collaborate with business and technology teams to discover Generative AI use cases, build and test prototypes, and integrate AI capabilities into existing applications. Provide practical implementation support to application development teams and help deliver AI agents, orchestration workflows, and enterprise integrations.

Requirements

Requires 3–5 years of software engineering experience and 1–3 years of practical Generative AI application development experience, including proficiency in Python and enterprise application integrations. Candidates should understand LLMs, RAG, AI frameworks and agents, testing and evaluation, Responsible AI, modern software practices, and cloud platforms, with strong communication and collaboration skills.

Skills

Python
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
AI Agents
LangGraph
LangChain
API Development
Enterprise Integrations
AI Evaluation
Responsible AI
CI/CD
Azure

Visa sponsorship

Not detected in the job text

Keywords

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

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