Senior Staff AI Engineer

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.

We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.

We empower exceptional people to create extraordinary experiences together.

Bring your whole self.

The Role and Team

The Medallia Architecture team is seeking a Senior Staff AI Engineer to drive the company's strategy and adoption of Artificial Intelligence across Medallia's product and platform ecosystem. This role sits at the core of our platform modernization and scalability initiatives, helping R&D teams harness AI to accelerate engineering efficiency, enhance product capabilities, and enable intelligent, data-driven experiences for our customers.

You will play a key role in evaluating emerging AI technologies, rapidly prototyping new solutions, and establishing architectural patterns that integrate AI safely and effectively into Medallia's global-scale SaaS platform. You'll also lead enablement programs across R&D to ensure teams are empowered to adopt AI tools responsibly and productively.

The ideal candidate combines deep technical expertise in AI and modern cloud architectures with a passion for innovation, mentorship, and practical impact at enterprise scale.

• Technology Evaluation & Strategy: Continuously research, evaluate, and prototype emerging AI and ML technologies (e.g., LLMs, retrieval-augmented generation, multimodal models, vector databases, and AI agents) to identify opportunities that improve product scalability, developer velocity, and platform efficiency.
• Applied Innovation: Lead rapid proof-of-concepts that demonstrate how AI can optimize workflows, enhance system capabilities, or increase unit and data processing efficiency across Medallia's global infrastructure.
• Architecture & Standards: Define and guide AI architecture and integration patterns that align with Medallia's long-term technical vision - ensuring scalable, secure, and compliant use of AI across our platform and engineering systems.
• Enablement & Advocacy: Partner with engineering and product leaders to create internal training programs, documentation, and best practices that increase AI literacy and enable safe, effective AI adoption across R&D.
• Cross-Functional Collaboration: Work with Product, Data Science, and Platform Engineering teams to identify high-value AI applications, evaluate build-vs-buy options, and align efforts with enterprise architecture standards
• Thought Leadership & Mentorship: Serve as an AI technology evangelist within Medallia, authoring internal white papers and sharing knowledge through presentations and workshops. Mentor engineers and technical leads to grow organizational AI capability and architectural depth.

Minimum Qualifications

• 12+ years of experience in software engineering, including 5+ years applying AI/ML technologies in production or platform contexts.
• Demonstrated experience designing and implementing AI-driven systems or integrating LLM-based capabilities into enterprise-scale products.
• Demonstrated understanding of distributed systems, cloud architecture (AWS or equivalent), and data-intensive platform design.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

• Deep hands-on experience with AI/ML frameworks and tools (e.g., PyTorch, TensorFlow, LangChain, vector databases, or embedding pipelines).
• Experience developing or evaluating generative AI systems (LLMs, RAG pipelines, fine-tuning, or prompt engineering).
• Proven ability to translate business and architectural goals into scalable AI strategies and implementation roadmaps.
• Experience using AI tools to enhance the effectiveness and efficiency of enterprise SaaS development, including AI-assisted coding, testing, documentation, and operational analytics.
• Strong communication and leadership skills - able to influence at multiple levels, drive consensus, and advocate for responsible AI use.
• Experience designing and delivering technical training, workshops, or enablement programs across distributed engineering teams.
• Passion for applied innovation and measurable impact - especially in improving scalability, developer efficiency, and platform intelligence.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $167,200-$302,000. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.

At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is proud to be an equal-opportunity workplace and is an affirmative-action employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.