Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 12912623

    Coursera logo

    Senior Software Engineer, Applied AI and Customer Solutions

    Coursera · Gurugram · onsite · Posted 61d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Overview
    As a Senior Software Engineer, you will join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Courseras 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.
    Youll operate across the full engagement lifecycle: scoping a customers 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 customers 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
    To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official 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.
    For more information about how Coursera + Udemy collects and uses your personal information, please see our Global Applicant Privacy Notice.
    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.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    DockerCloud Deploymentcloud platformsdata privacyamazon web servicesDPDPAdata modelsEmbedded SystemsCloud InfrastructuredebuggingdeploymentData EngineeringcloudCustomer RelationshipCommunication SkillsArchitecturecomplianceAi SolutionsArtificial Intelligence

    About Coursera

    Coursera logo

    Coursera

    EdTech

    478

    employees

    2012

    14 years old

    Mountain View, California

    United States Of America

    About

    Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education.

    Industries

    EdTechInternet

    Employee ratings

    43 reviews

    3.5/ 5

    Culture

    3.3

    Career growth

    2.7

    Work-life

    3.5

    Employees rate it well for

    Job Security6Senior Management4Work Culture4Work Life Balance4

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Senior Software Engineer, Applied AI and Customer Solutions · waiting for your command