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Added 10 mins ago
Spécialiste en Ingénierie Mécanique - Centre de Données, Mechanical Engineering Specialist – Data Centers, Data Center Field Engineering
Amazon
Varennes, QC
Added 25 mins ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
Role : Network security / Firewall Consultant
Added 25 mins ago
T
SAS Consultant
TechDoQuest
Markham, ON
- Full-time
Added 25 mins ago
P
Mergers and Acquisitions Tax, Manager \
PwC
Toronto, ON
- Part-time
…local and overseas tax affairs, while acting as a strategic consultant related to business analysis and M&A tax…
Added 40 mins ago
C
Consultant, Technology Enablement
CIBC
Toronto, ON
- Full-time
Technology Enablement within Credit Processing Services helps drive the tools, processes, and change initiatives that support effective and resilient operations. As a Consultant, Technology…
Added 40 mins ago
C
Consultant, Use Experience - Investor's Edge
CIBC
Toronto, ON
- Full-time
…that help clients manage their investing with confidence. As a Consultant, User Experience, you’ll contribute to the digital roadmap for Online Brokerage and the Wealth app, with a focus on…
Added 40 mins ago
C
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CIBC
Toronto, ON
- Full-time
…sharpen how the business shows up to digital, product, and technology…
Added 55 mins ago
T&
Senior Project Manager
Turner & Townsend
Halifax, NS
- Full-time
Processing payments to consultants, contractors and direct vendors in liaison with consultant team.
Added 1 hour ago
AI
Mainframe DevOps Migration Consultant
Aptino, Inc.
Canada
- Contract
We are looking for a Senior Mainframe DevOps / SCM Consultant with strong experience in IBM z/OS, CA Endevor, Git, IBM DBB, and IDD/Wazi to support mainframe modernization and SCM migration…
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Sap Finance Control Consultant
Vaspire Technologies Inc.
AB · Edmonton, AB
- Part-time
Added 1 hour ago
SL
Group Underwriting Consultant
Sun Life
Montreal, QC · Sun Life Montreal Metcalfe
- Full-time
As a Group Underwriting Consultant, you lead complex underwriting work, bringing advanced risk expertise, strong financial judgement, and strategic insight to support balanced pricing…
Added 1 hour ago
SL
Senior Best Practice Consultant, Process & Enablement
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Waterloo, ON · Sun Life Waterloo King
- Full-time
The Senior Best Practice Consultant, Process & Enablement is responsible for leading and maturing process management and operational knowledge practices for Global People Services. The role…
Added 1 hour ago
SI
Wireless Sales Consultant
Staples Inc.
Ottawa, ON · Nepean, ON
- Part-time
As a Wireless Sales Consultant, you are a champion of the customer experience in the wireless department. You enable our work, learn, and grow culture for our customers and associates.…
Added 1 hour ago
HR Data Management Consultant - Bilingual in French/English
Scotiabank
Toronto, ON · Scarborough, ON
…site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical…
Added 1 hour ago
C
Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
You’ll be joining CIBC’s Digital and CX Technology team, the role is responsible for leading the functional design and development of application systems across all technologies and…
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SC
Wireless Sales Consultant
Staples Canada
Calgary, AB
- Full-time
As a Wireless Sales Consultant, you are a champion of the customer experience in the wireless department. You enable our work, learn, and grow culture for our customers and associates.…
Added 1 hour ago
A
Senior Machine Learning Operations Developer: AI/ML Platform
Autodesk
Vancouver, BC · Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Added 1 hour ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
Current Salesforce certifications such as Platform Administrator, Data 360 Consultant, Data Architect, Integration Architect, Agentforce Specialist, Platform Developer I/II
Added 1 hour ago
PI
Legal assistant - immigration
Pax Immigration Consultant Inc.
Emerald Park, SK
- From $20 CAD / hour
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L
Sales Account Executive
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Markham, ON
- Full-time
…provide solutions to our customers & become a trusted advisor & technology consultant, whether an organization needs a single tablet or an entire complex solution for their…
Added 2 hours ago
SJ
Store Manager - Peoples Jewellers - Lansdowne Place
Signet Jewelers
Peterborough, ON · Canada - Lansdowne Place - Peterborough, ON
- Full-time
Reporting to this Position: Assistant Store Manager, Jewelry Consultant, Sales Support and Inventory Control
Added 2 hours ago
ST
Systems consultant
STRATEGIC TECHNOLOGY RESOURCES INC.
Markham, ON
- From $50 CAD / hour
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Added 2 hours ago
V
Regional Account Manager - ProAV (Ontario, Canada)
ViewSonic
Canada
- Full-time
…meaningful, high-visibility work for a global leader in visual technology. At ViewSonic, we are celebrating 36 years of excellence, carrying on the same entrepreneurial spirit and…
Added 2 hours ago
W
SAP NATIVE HANA Consultant
W3Global
Canada
- Contract
We are looking for an experienced SAP HANA Consultant with over 8+ years of hands-on experience in implementing, configuring, and supporting HANA systems in both standalone and sidecar…
Added 2 hours ago
A
Project Manager
Akkodis
Victoria, BC
- Contract
Akkodis is seeking an experienced Project Manager IM-related Level 2 to lead and coordinate a complex payment technology and service migration initiative.

Udemy

Senior Software Engineer, Applied AI & Customer Solutions

Toronto, ON, Canada

Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000. · Full-time

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Job details

Pay: Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000.
Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape What Comes Next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills - and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview

As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You will sit at the intersection of AI/Data Engineering, cloud and security architecture, and customer-facing solutioning - working hands-on with customers to map their workflows and data, prototype solutions quickly, and harden the ones that prove valuable into production deployments.

You'll operate across the full engagement lifecycle: scoping a customer's environment and pain points like a consultant, prototyping working demos in real time with the customer, and then hardening the strongest patterns into production-grade, secure and compliant deployments. This role is customer-facing and will require regular travel to customer sites (domestic and occasionally international) for discovery, prototyping, and go-live phases of engagements. You will work closely with Product Managers, AI Specialists, Data Analysts, and other Engineers on the team, and directly with customer executive sponsors and IT/data owners, to decide what gets standardized, deployed, or retired.

Key Responsibilities

Scope customer environments directly with executive sponsors and IT/data owners - mapping systems, data models, and workflows to identify the real business problem, not just the stated one
Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast
Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments
Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements
Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments
Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after
Own CI/CD, observability, and production support for systems living inside customer environments
Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired
Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact
Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts

Basic Qualifications

5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience
1+ years of experience building production-grade agentic AI solutions
Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes and Kafka with comfort working across the stack
Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models
Strong experience with data engineering fundamentals - ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems
Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments
Demonstrated comfort operating directly with customers - scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely
Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require
Prior experience leading projects and debugging complex issues with minimal supervision

Preferred Qualifications

Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP
Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers
Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement
Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA)
Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance
Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on

Why Join Us?

Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers
Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap
Directly influence what graduates from customer-facing custom solutions into Coursera's core product
Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader
Be part of a mission-driven company transforming global access to education and upskilling in the AI era

Compensation

Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $137,000 to $172,000. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

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More about this job

Responsibilities

Scope customer environments and business problems, rapidly prototype AI-powered solutions with customers, and turn validated prototypes into secure, production-grade deployments. Own deployment architecture, identity and access management, connectivity, CI/CD, observability, and production support while sharing repeatable customer insights with Product.

Requirements

Requires at least five years of software engineering experience, including strong backend and cloud infrastructure skills, and at least one year building production-grade agentic AI solutions. Candidates should have data engineering and security expertise, be comfortable leading customer discovery and live demos, and be able to travel regularly.

Skills

Backend Engineering
Cloud Infrastructure
Agentic AI
Python
Java
TypeScript
Docker
Kubernetes
Kafka
AWS
Data Engineering
Identity and Access Management
Encryption and Key Management
Secure Network Architecture
Customer Discovery and Solutioning
CI/CD and Observability

Visa sponsorship

Not detected in the job text

Keywords

Agentic AI
LangChain
LangGraph
FastMCP
Retrieval-Augmented Generation
MCP
Python
Java
TypeScript
Docker
Kubernetes
Kafka
AWS
Postgres
DuckDB
pgvector
Data Engineering
Multi-Tenant Architecture
Hybrid Cloud Deployment
Identity and Access Management
Encryption and Key Management
mTLS
VPC Peering
PrivateLink
API Gateways
CI/CD
Observability
Data Residency
GDPR
FERPA

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