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Added 6 hours ago
T&
Director Information Management
Turner & Townsend
Toronto, ON
- Full-time
Added 9 hours ago
SS
Head of R&D
Seller Snap, Inc.
Brampton, ON · Regional Municipality of Peel, ON
- Full-time
Experience with ClickHouse, Redshift, BigQuery, Snowflake or a similar OLAP store.
Added 18 hours ago
NB
Chief Data Engineering Developer
National Bank of Canada
Montreal, QC
- Full-time
A career as a Chief Data Engineering Developer on the Analytics and Data team at National Bank means acting as a data engineering expert. In this role, you will have a direct impact on how…
Added 18 hours ago
NB
Chier Developer Data Engineering
National Bank of Canada
Montreal, QC
- Full-time
Added 22 hours ago
TA
Lead AI Architect & Delivery Manager
Tiger Analytics
Canada
- Full-time
…role is responsible for driving the technical strategy of the Snowflake-native RAG solution, orchestrating the offshore engineering team, interfacing directly with FCB leadership (ED&A,…
Added 22 hours ago
PH
Analytics Engineer, Risk
Propel Holdings
Toronto, ON
- Full-time
Added 22 hours ago
M
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
- Full-time
- Remote
Experience with big data analytics tools (i.e. - Snowflake) and stream processing architectures
Added 1 day ago
A
Director of Knowledge Management - NAMER
Ashby
Canada
- Full-time
Added 1 day ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 1 day ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Experience with at least one Data Warehouse (BigQuery, Redshift, Snowflake or an on-prem equivalent) and with Postgres or another relational database.
Added 1 day ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Experience with at least one Data Warehouse (BigQuery, Redshift, Snowflake or an on-prem equivalent) and with Postgres or another relational database
Added 1 day ago
AS
Data & Analytics Solutions Architect
Apex Systems
Mississauga, ON
- $45 to $50 USD / hour
- Contract
Experience designing solutions across cloud data platforms such as Azure, Snowflake, Databricks, Microsoft Fabric, or similar technologies.
Added 1 day ago
AS
Senior Technical Business Analyst – CABL Initiative
Apex Systems
Montreal, QC
- $70 to $71 USD / hour
- Contract
…mapping, and business rule documentation needed to support Snowflake-based analytics, contract validation, and leakage…
Added 1 day ago
P
Director, Data Enablement
PwC
Toronto, ON
- Full-time
Added 1 day ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Familiarity with Data platforms such as Snowflake, Microsoft Fabric, Amazon Redshift, Databricks
Added 1 day ago
K
Senior Business Analyst
Klick
Toronto, ON
- Full-time
Familiarity with Data platforms such as Snowflake, Microsoft Fabric, Amazon Redshift, Databricks
Added 1 day 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 1 day ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
Added 1 day ago
RI
Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
· Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
Added 1 day ago
H
Software Engineer
Highspring
Montreal, QC
- Full-time
Data Platforms: Databricks, Snowflake, Delta Lake (or equivalents)
Added 1 day ago
S
Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
Added 1 day ago
PC
Business Analyst IT (Co-op)
Powerex Corp.
Vancouver, BC
- Full-time
- Temporary
Tools: Tableau, Datadog, Azure DevOps, SQL Server Management Studio, Snowflake, Claude AI, Microsoft Excel
Added 1 day ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
Added 1 day ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
N2P Systems is seeking an experienced AWS Snowflake Solutions Architect to join our enterprise technology delivery team in Toronto, Ontario, Canada. At N2P Systems, you will put 10+ years…
Added 1 day ago
GT
Lead Data Engineer / Data Product Lead – Snowflake
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $60 to $80 CAD / hour
- Contract
…hands-on technical leadership role requiring deep expertise in Snowflake, SQL, Matillion/dbt, AWS, and Python, along with the ability to own data products end to end - from architecture and…

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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