Senior Software Engineer - Core AI

• Qualtrics is seeking a Senior Software Engineer to join the Socrates Experimentation Platform (SEP) team part of the Core AI Product Unit.
• Our mission is to enable applied scientists data scientists and ML engineers to rapidly build deploy and operate AI features and solutions at scale — by providing a unified platform and a governed data architecture.
• We build and maintain the infrastructure and workflows that power the end-to-end ML lifecycle: data ingestion and anonymization feature engineering model training and evaluation and production deployment — all within AWS SageMaker Unified Studio.
• We reduce time-to-value improve data and model quality and lower total cost of ownership through purpose-built self-service tooling pipeline automation and robust operational guardrails.

• Our team is on the cutting edge of Qualtrics’ new AI offerings.
• You’ll be working in a fast paced environment and will be expected to participate in requirements gathering design and architecture discussions full stack development and code reviews.
• You will need to take ownership of your feature and drive its development and delivery end-to-end. Your week to week will also involve operational excellence and quality improvements.
• We also expect our contributors to be excellent communicators who influence the technical direction of the team and mentor junior engineers who work alongside them.
• With a strong sense of ownership and with curiosity to always try to find a better way you will find success on this team and in Qualtrics.

• You will work on high impact projects building the platform that Qualtrics' AI teams depend on — from data ingestion and anonymization pipelines to SageMaker Unified Studio workflows.
• You will work across a breadth of AWS technologies including SageMaker Unified Studio DataZone Lake Formation S3 DynamoDB SQS Lambda and more.
• You will participate in design and architecture discussions with your peers gaining insight from their experiences.
• You will work cross-functionally with applied scientists ML engineers data engineers and security/compliance teams to enable success across the AI development lifecycle.
• You will communicate with various stakeholders to streamline operational effectiveness.
• You will evaluate and adopt new tools and patterns in the AWS ML and data ecosystem.

• Design and build scalable reliable backend services and data pipelines that power the end-to-end ML lifecycle within AWS SageMaker Unified Studio.
• Own the entire lifecycle of the features and platform capabilities you work on from ideation to delivery collaborating closely with applied scientists ML engineers and product managers.
• Build and operate data infrastructure implementing a medallion (bronze/silver/gold) architecture — including ingestion transformation anonymization aggregation quality checks and lineage.
• Operate production platform services with 99.9% availability SLOs participating in on-call rotations and operational review processes.
• Drive self-service tooling and automation that reduces manual toil and accelerates onboarding of new AI projects.
• Teach and mentor other engineers on the team participate in design discussions and establish and maintain best practices through code reviews and mentorship.

• 4+ years of relevant software engineering experience.
• Strong backend development experience in Python; familiarity with other languages such as Java TypeScript or Go is a plus.
• Experience building and operating data pipelines or distributed data systems (e.g. ETL/ELT event-driven architectures SQS/Kafka S3-based data lakes).
• Familiarity with AWS cloud services; hands-on experience with SageMaker DataZone Lake Formation Glue or similar data/ML platform services is a strong plus.
• Familiarity with infrastructure-as-code (e.g. AWS CDK).
• Familiarity with different database technologies across SQL and NoSQL options.
• Experience with professional software engineering practices such as unit testing code reviews and writing design documents.
• Experience owning deployment and operations for large-scale distributed systems.
• Bachelor's degree in Computer Science or related field or suitable industry experience.

• The Socrates Experimentation Platform (SEP) team is the foundational AI infrastructure team within Qualtrics' Core AI Product Unit. We own the data mesh ML platform and self-service tooling that applied scientists and ML engineers across Qualtrics depend on.
• Our platform is built around AWS SageMaker Unified Studio and implements a governed medallion data architecture ensuring high-quality legally-compliant and discoverable datasets for AI development.
• We operate with a product mindset — our roadmap is driven by user outcomes like time-to-first-production and researcher satisfaction validated through close design partnerships with our customers.
• We care deeply about reliability security and cost efficiency — we run 24/7 on-call for critical services enforce policy-as-code for data privacy and build cost guardrails into everything we ship.
• We are looking for an engineer who is passionate about enabling other builders — someone who works well across disciplines takes pride in platform quality and can empathize with the needs of researchers and scientists who depend on our tools.

• Qualtrics Annual Experience Bonus ($1800) can be used for an experience of your choosing: concerts vacation event tickets etc.
• Global Wellness Benefit ($1200) reimburses employees to stay on top of their health and wellness.
• Quarterly team offsite team building events.
• Great standard benefits package (medical dental vision life insurance 401k etc).
• Snacks drinks and free lunches in our office.

What We Do

Qualtrics is trusted by thousands of the world’s best organizations to power exceptional customer and employee experiences that build deep human connections increase customer loyalty boost employee engagement and drive business success. Our advanced AI and specialized Experience Agents™ allow businesses and governments to proactively interact with customers and employees in personalized ways across every channel and touchpoint respond in-the-moment to fix or improve experiences and stay across the latest market trends and opportunities. Our vision as an organization is to improve the human experience.

Why Work With Us

We're a place where strategic risks are encouraged & complex problems get solved together. Where nimble teams are empowered to set aggressive goals & move fast to win. A place that makes you feel safe as your authentic self. Where everyday work results in growth. And most importantly where what you do matters. That's why we work at Qualtrics.

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