Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Software Engineer, Applied AI & Customer Solutions role.

Rezi rewrites your resume against Cousera Internal Rehire Job Board's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Software Engineer, Applied AI & Customer Solutions posting at Cousera Internal Rehire Job Board — free, in seconds.

About the Role

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.

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

Requirements

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
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

Skills

AI/Data Engineering
Cloud architecture
Security architecture
Customer-facing solutioning
Python
Java
Typescript
Docker
Kubernetes
Kafka
AWS
Data engineering
Identity and access management
Encryption/key management
mTLS
VPC peering
PrivateLink
API gateways
CI/CD
Observability
Production support
LangChain
LangGraph
FastMCP
RAG
MCP
Postgres
DuckDB
pgvector
GDPR
FERPA
DPDPA
HIPAA
Communication skills

Location

Globally distributed

Work Type

Remote
Onsite (travel required)

Experience Level

Senior
5+ years of experience in a software engineering role
1+ years of experience building production-grade agentic AI solutions

Salary/Compensations

$137,000 to $172,000 (Canada)

Benefits

Eligibility for variable pay
Eligibility for equity
Comprehensive benefits

About the Company

At Coursera, we aim to allow employees to develop their skills and grow their careers.
We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together.
Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere.
Be part of a mission-driven company transforming global access to education and upskilling in the AI era.

Equal Opportunity

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 recruting@coursera.org.