Senior Software Engineer, Applied AI & Customer Solutions

Toronto, Canada

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.

• 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 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.

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 + Udemy 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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