Senior Specialist (Dev), AI Operations

Company: Qualtrics

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.

Senior Specialist (Dev), AI Operations

Why We Have This Role

The AI Operations team is essential to building and maintaining the next generation of intelligent tools and systems that power Qualtrics’ Customer Operations. This role is responsible for designing, developing, and implementing AI-driven solutions to improve workflows, automate complex processes, and enhance data accessibility.

The AI Developer works closely with Customer Ops leadership and analysts to translate business objectives into functional applications and autonomous agentic systems. By leveraging Python and modern AI-native development workflows, this role creates efficient and scalable solutions that redefine how work is performed. The developer also collaborates with cross-organizational teams, including Engineering, Legal, and Security, to ensure system integrity and seamless integration.

How You’ll Find Success

• Strong problem-solving and coding skills: Possess a passion for building robust, AI-first solutions.
• Proactive Mindset: Take initiative to identify areas for improvement; perpetually unsatisfied with the status quo and proactive in proposing innovative AI solutions.
• "Vibe Coding" Proficiency: Comfortable orchestrating high-level intent while utilizing AI coding assistants like Cursor or Windsurf to maintain high development velocity.
• Collaboration: Work effectively with Customer Ops, UX, Product, and Engineering to gather requirements and provide technical AI expertise.
• Communication: Excellent writer who communicates technical AI concepts and progress in a clear and concise manner to both technical and non-technical stakeholders.

How You’ll Grow

• Develop deep knowledge of internal systems, becoming an expert in integrating AI agents into established architectures.
• Gain hands-on experience designing, developing, and deploying complex AI applications and agents that directly impact global operations.
• Learn how to effectively translate abstract business requirements into high-quality technical specifications and closed-loop model fixes.
• Work on an agile team where you own AI projects from conception to completion, learning from experienced peers while driving significant impact.

Things You’ll Do

• Develop, test, and deploy AI applications and tools using Python and relevant LLM frameworks to support Customer Ops needs.
• "Close the loop" on model performance by partnering with analysts to identify failure modes and implement fixes to enhance system reliability.
• Translate business goals into technical requirements for AI agents and automation in collaboration with leadership.
• Partner with Engineering and Data Engineering to ensure seamless integration between AI tools and core systems while addressing technical discrepancies.
• Develop automation scripts to streamline processes and conduct A/B testing on implemented AI features to ensure they meet performance (accuracy, speed) benchmarks.

What We’re Looking For On Your Resume

• Education: Bachelor’s or Master's degree from a top university, specifically in Computer Science, Software Engineering, or a related technical field.
• Experience: 1–3 years of professional software development experience, with a proven track record of using Python for automation or AI tasks.
• Tools: Demonstrated proficiency in using AI-assisted coding tools such as Cursor or Windsurf.
• Communication: Excellent analytical, verbal, and written communication skills, with a specific ability to translate business objectives into technical specs.
• Technical Problem Solving: A strong ability to take on complex technical problems, identify root causes in LLM outputs, and develop effective solutions.
• Adaptability: The ability to manage multiple development projects concurrently and adapt to rapidly changing priorities in an AI-first environment.

What You Should Know About This Team

• The AI Operations team has the special opportunity to build the next generation of developers focused on empowering teams through AI.
• This is a "small but mighty" group with a significant impact on global processes and operational excellence.
• By building robust and reliable AI systems, the team directly improves the day-to-day experience of the organization, enabling them to effectively support customers at scale.
• The team regularly collaborates with diverse groups across the organization, creating strong professional networks and continuous opportunities for growth.

Our Team’s Favorite Perks and Benefits

• Work-life integration: We have frequent office events, team outings, and happy hours.
• Qualtrics Experience Program: $1,800 for an experience of your choosing (eligible after a year).
• Generous Time Off: 30 paid days off (15 PTO + 5 Personal Days + 10 Holiday Closures), with additional days added after a year.
• Office Amenities: On top of a standard benefits package (medical, dental, vision, life insurance, etc.), we provide snacks, drinks, and free lunches in our offices.

The Qualtrics Hybrid Work Model

Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #hybrid

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Legal & Compliance

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws: Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act.

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.

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Responsibilities:

Develop, test, and deploy AI applications and tools using Python and LLM frameworks to support Customer Operations needs, partnering with analysts to close the loop on model performance and implement fixes. Collaborate with leadership to translate business goals into technical requirements for AI agents and automation, while ensuring seamless integration with core systems.

Requirements:

Candidates must possess a Bachelor's or Master's degree in Computer Science or a related technical field, coupled with 1–3 years of professional software development experience utilizing Python for automation or AI tasks. Essential requirements include proficiency with AI-assisted coding tools, excellent communication skills for translating business objectives, and the ability to solve complex technical problems related to LLM outputs.