AI & ML Careers

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As the cornerstone of our company, Company Engineers always aspire to be the best in the industry. Whether coding, building, hacking, designing, or testing
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Build AI that improves the human experience

Qualtrics XM AI and data platform provides the human understanding and contextual inference that large language models alone lack, enabling organizations to transform proprietary experiential data into trusted, outcome-driven experiences in every moment that matters.
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Differentiated dataset

Our acquisition of Press Ganey Forsta for $6.75 billion expanded our Experience Management (XM) category leadership and created the world's largest AI dataset for human experiential context ever assembled. We build on that proprietary unstructured experience data - how people feel, what they do, and what actually changes outcomes. This distinct advantage, combined with our deep XM domain expertise, allows us to solve some of the most interesting AI problems in the world: grounding, evals, causal reasoning, synthetic generation, and reliable agent behavior at scale. If you want to work on big problems with real-world impact, this is the place.
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Real users. Real stakes. Real product impact.

The systems you build will help enterprises understand and act on customer and employee feedback at scale, shaping real-world decisions. Take the PGA Tour. They used Qualtrics AI to improve the fan experience by analyzing years of unstructured fan feedback. By reducing the time to uncover insights, they were able to decrease the time it takes to take action on experience gaps from weeks to minutes.
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Fast pace + high growth

You’ll work on complex frontier systems with real data, infrastructure, and runtime constraints, not just prompts and prototypes. You’ll ship, measure, and iterate on live systems with a high degree of ownership and along the way, you’ll build a range across model behavior, evals, orchestration, semantic layers, and inference tradeoffs. You’ll grow quickly if you can connect technical decisions to business outcomes.
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Shape what's next
Hear from Harika, an engineering leader based in Seattle, on how she helped bring AI-powered synthetic personas to life and found community. Simply put, Qualtrics values continuous experimentation, has access to game-changing human experience data, and has a great communities like the Women in Engineering group - all to help you find success and build connection.
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What it takes to be successful

Why these are important... 
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Think end to end

You can take a failing eval or unexpected edge case and connect it to product decisions and business impact. You’re comfortable zooming in on the problem and zooming out to the broader context.
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Be rigorous not certain

We value conviction backed by rigorous analysis, but we’re comfortable admitting what we don’t know. When you're uncertain, lead with your confidence level and the reasoning behind it—this is how we iterate, learn, and arrive at the best answers together.
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Own the problem, not just the code

You define the problem, shape the solution, and make the architecture choices that get us there.
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Build for real outcomes

You’re not satisfied with wrapping the latest model in a UI and calling it innovation; you’re interested in building systems that work in the real world and drive measurable enterprise impact.
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Balance steady delivery with bold bets

Some work should be reliable and incremental. Some should push the edge. You know the difference and have the judgment to do both without breaking the platform.
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FAQ about AI Careers at Qualtrics

You have questions?
We have answers. 

As AI permanently changes what people expect from every experience in their lives, Qualtrics is raising the standard for what Experience Management can do across every industry. The Qualtrics XM AI and data platform provides the human understanding and contextual inference that large language models alone lack, enabling organizations to transform proprietary experiential data into trusted, outcome-driven experiences in every moment that matters.

Our teams apply AI to help organizations move from reactive measurement into predictive action by proactively analyzing feedback, identifying patterns, understanding sentiment and themes, surfacing insights, and taking action.

Qualtrics helps organizations improve human experiences. We enable organizations to turn signals from customers, employees, patients, and markets into trusted, outcome-driven experiences in every moment that matters. AI accelerates that mission by making it easier to analyze large volumes of experience data, uncover what is driving outcomes, and help organizations decide what to do next. Think working with synthetic data, simulating outcomes, predicting human needs and behaviors, and orchestrating more personalized experiences at unprecedented scale.

Qualtrics' leading AI dataset for human experiential context creates the engine for a new generation of Al-driven synthetic experience intelligence systems capable of simulating outcomes, predicting human needs and behaviors, and orchestrating more personalized experiences at unprecedented scale.

You’ll do more than build AI features.You’ll help build the fundamental platform capabilities that turn experience data into understanding, insight, action, and measurable outcomes.

Depending on the team, AI professionals at Qualtrics may work on:
  • Natural language processing
  • Large language model applications
  • Text and sentiment analytics
  • AI-powered product experiences
  • Retrieval-based systems
  • Model evaluation and experimentation
  • Predictive analytics
  • Workflow automation
  • Machine learning infrastructure and production systems

The common thread is building AI that helps organizations understand human feedback, act faster, and improve outcomes.

Qualtrics works with experience data across customer, employee, healthcare, product, brand, and research programs. This can include structured and unstructured feedback, survey responses, text feedback, interaction signals, synthetic data, and other experience-management data, depending on the product area and customer use case.

All data use is governed by applicable privacy, security, customer, and compliance requirements.

Qualtrics is focused on applying modern AI technologies to customer problems using experience data, domain expertise, and purpose-built systems.

Depending on the team, work may involve evaluating, integrating, adapting, or building on modern AI technologies, including production AI systems with real enterprise use cases: grounding, evals, retrieval, orchestration, semantic layers, agent behavior, model/inference tradeoffs, privacy/security, and measurable customer outcomes.

The experience gap (the delta between what people expect and what organizations can deliver) is the most important challenge in business. If you want to build AI that moves beyond demos and helps organizations understand what people experience, why it matters, what to do next, and deliver outcomes, Qualtrics is a compelling place to do that.

Why choose Qualtrics? You’ll have the opportunity to work on applied frontier problems without being one layer removed from impact, allowing you to get closer to real customer problems. Because our AI ships into customer-facing products, the impact of your work is tangible and easy to explain. You’ll have greater ownership over your projects, avoiding the common feeling of being just a "tiny piece of a giant machine," and instead contribute to rich human-context problems, production systems, and capabilities that directly improve customer, employee, patient, product, brand, and research outcomes.

Qualtrics offers the opportunity to work on applied AI that ships into customer-facing products. AI professionals here can work on rich human-context problems, production systems, and capabilities that help organizations improve customer, employee, patient, product, brand, and research outcomes.


Qualtrics focuses on applying AI in ways that are useful, trustworthy, and responsible. Our teams consider privacy, security, transparency, evaluation, and appropriate human oversight as AI capabilities are developed and used.

Because Qualtrics serves enterprise and healthcare customers, responsible AI is essential to earning and maintaining customer trust and delivering better outcomes.
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