1 day ago
Toronto, CanadaSenior
Responsibilities
- Scope customer environments, systems, data models, workflows, and business problems with executive sponsors and IT/data owners.
- Rapidly prototype and demo working AI-powered solutions with customers, iterating in real time to prove value.
- Bridge customer engagements and core engineering by hardening validated prototypes into production deployments.
- Design and implement multi-tenant, hybrid, and customer-controlled deployment architectures based on data residency, privacy, and IT requirements.
- Build and own identity and access management, encryption, key management, and secure cross-network connectivity for customer deployments.
- Apply security, data-residency, and compliance judgment during customer discovery and solution design.
- Own CI/CD, observability, and production support for systems operating inside customer environments.
- Identify repeatable patterns across engagements and provide field feedback to Product for standardization and roadmap decisions.
- Collaborate with Product Managers, AI Specialists, Program Managers, Data Analysts, and Engineers on customer-impactful problem statements.
- Travel regularly to domestic and occasional international customer sites for discovery, prototyping, workshops, executive readouts, and go-live support.
Requirements
- 5+ years of software engineering experience with strong hands-on backend engineering and cloud infrastructure experience.
- At least 1 year of experience building production-grade agentic AI solutions.
- Proficiency in backend languages such as Python, Java, and TypeScript, and technologies such as Docker, Kubernetes, and Kafka.
- Strong cloud platform knowledge, preferably AWS, with the ability to design and operate multi-tenant and hybrid customer-cloud deployments.
- Strong data engineering fundamentals, including ingesting, cleaning, and normalizing inconsistent data from disparate systems.
- Working knowledge of identity and access management, encryption and key management, and secure networking patterns such as VPC peering, PrivateLink, and mTLS.
- Experience scoping ambiguous customer problems, conducting discovery, and demonstrating work-in-progress solutions in person and remotely.
- Ability and willingness to travel regularly to customer sites domestically and occasionally internationally.
- Experience leading projects and debugging complex issues with minimal supervision.
- Preferred experience with LangChain, LangGraph, FastMCP, RAG, MCP, Postgres, DuckDB, or pgvector.
- Preferred experience in solutions engineering, professional services, or technical consulting with end-to-end customer relationship ownership.
- Familiarity with GDPR, FERPA, DPDPA, HIPAA, or similar data privacy and residency regimes.
- Strong communication skills and the ability to translate technical constraints for executive and non-technical stakeholders.
Benefits
- Competitive base salary range of $137,000 to $172,000 in Canada, with possible variable pay, equity, and comprehensive benefits.
- Work directly with strategic enterprise and campus customers across geographies, owning engagements end to end.
- Influence which customer-facing solutions become part of the core product.
- Join a lean, cross-functional team with high autonomy and trust.
- Work on high-visibility engineering problems with measurable customer impact at a mission-driven education and upskilling company.
- Regular travel to customer sites is required, including domestic and occasional international travel.
Categories
Forward DeployedSolutions Engineering
About Coursera
Coursera builds an online learning platform for individuals, enterprises, and academic institutions, offering courses, Professional Certificates, and online degrees from university and industry partners. Its revenue comes from paid courses and subscriptions, enterprise contracts, and tuition-sharing for degree programs. Founded in 2012 by Andrew Ng and Daphne Koller and headquartered in Mountain View, it is publicly traded on the NYSE (COUR). Coursera has combined with Udemy to form a single, larger skills platform.