2 months ago
India (city not specified)Senior
Responsibilities
- Scope customer environments with executive sponsors and IT/data owners by mapping systems, data models, workflows, and business problems.
- Rapidly prototype and demo working AI-powered solutions with customers, iterating in real time to prove value.
- Harden validated prototypes into production-grade deployments in partnership with core engineering teams.
- Design and implement multi-tenant, hybrid, and customer-controlled deployment architectures.
- Build and own identity and access management, encryption, key management, and secure cross-network connectivity for customer deployments.
- Apply security, data-residency, privacy, and compliance judgment during customer discovery and solution design.
- Own CI/CD, observability, and production support for systems operating inside customer environments.
- Identify repeatable engagement patterns and provide field evidence to Product for standardization and roadmap decisions.
- Collaborate with Product, AI, Program Management, Data, and Engineering teams to focus solutions on customer and business impact.
- Travel regularly to 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.
- 1+ year of experience building production-grade agentic AI solutions.
- Proficiency with backend languages such as Python, Java, and TypeScript, and technologies such as Docker, Kubernetes, and Kafka.
- Deep understanding of cloud platforms, with AWS preferred, and experience designing and operating multi-tenant and hybrid customer-cloud deployments.
- Strong data engineering fundamentals, including ingesting, cleaning, and normalizing inconsistent customer data from disparate source systems.
- Working knowledge of identity and access management, encryption/key management, VPC peering, PrivateLink, mTLS, and other secure network patterns.
- Experience working directly with customers to scope ambiguous problems, run discovery, and demo solutions in person and remotely.
- Willingness and ability to travel regularly to domestic and occasional international customer sites.
- Experience leading projects and debugging complex issues with minimal supervision.
- Preferred experience with LangChain, LangGraph, FastMCP, RAG, or MCP.
- Preferred experience with Postgres, DuckDB, pgvector, or similar analytical or transactional data layers.
- Preferred experience in solutions engineering, professional services, or technical consulting with end-to-end customer ownership.
- Familiarity with GDPR, FERPA, DPDPA, HIPAA, and related data privacy and residency regimes.
- Strong communication skills and the ability to explain technical constraints to executive and non-technical stakeholders.
Benefits
- Work on high-visibility engineering problems with direct impact on enterprise and campus customers.
- Own strategic customer engagements end-to-end across geographies.
- Influence which customer-facing solutions become part of the core product.
- Join a lean, cross-functional team with high autonomy and trust and become a go-to technical leader.
- Work for a mission-driven company focused on global access to education and upskilling.
- Regular domestic and occasional international travel to customer sites is part of the role.
Categories
Forward Deployed
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.