Senior AI Engineer - Professional Services

Job Description

Data Robot delivers AI that maximizes impact and minimizes business risk.

Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale.

Data Robot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets.

Organizations worldwide rely on Data Robot for AI that makes sense for their business — today and in the future.

As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers.

You’ll be a trusted advisor and hands‑on builder, translating complex business challenges into cutting‑edge AI solutions that deliver tangible business value.

This is a unique opportunity to design, build, and deploy a wide range of applications—from powerful predictive models to sophisticated Generative AI agents and chatbots.

If you thrive on solving real‑world problems and want to work with the latest in AI technology, this role is for you.

This is a fully remote position with no requirement to go into an office on a regular basis.

There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.

Key Responsibilities

• Partner with

Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high‑impact use cases, and define technical requirements for AI solutions.

• Build & Deploy AI Solutions: Design, develop, and deploy end‑to‑end AI solutions using the Data Robot platform and open‑source tools. This includes:
• Agentic AI: Developing and deploying agents on Data Robot leveraging common frameworks such as Langgraph, Crew AI, Llama Index
• Generative AI: Building custom Gen AI chatbots, Retrieval‑Augmented Generation (RAG) systems.
• Predictive AI: Developing and deploying classic machine‑learning models for use cases like forecasting, churn prediction, and fraud detection.
• Serve as a
• Technical

Expert: Act as a subject matter expert on the Data Robot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.

• Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer’s business objectives.
• Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non‑technical audiences, from data scientists to C‑level executives.
• Knowledge, Skills and Abilities
• AI & Machine Learning Expertise
• Strong proficiency in Python and common data science libraries (e. g., pandas, scikit‑learn, Num Py, etc.).
• Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,
• Solid understanding of the end‑to‑end agentic AI lifecycle from building agents in frameworks like Lang Graph or Crew AI, to at scale deployment and monitoring.
• Application Development & Operations
• Demonstrable experience developing and deploying applications, including building REST APIs (e. g., using Flask, Fast API) to serve ML models and Gen AI logic.
• Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).
• Solid understanding of secure application development practices, including authentication/authorization (e. g., OAuth, API keys), secrets management, and securing public‑facing endpoints.
• Customer

Focus: Experience in a client‑facing or consulting role with exceptional verbal and written communication skills.

You must be comfortable leading technical discussions and presenting to diverse audiences.

• Problem‑Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.
• Requisite Education and Experience / Minimum Qualifications
• Experience: Approximately 6‑8 years of hands‑on experience in AI Application development, software engineering, machine‑learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.
• Education: A Master’s Degree or Ph. D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
• Cloud Experience: Hands‑on experience with a major cloud platform (AWS, Azure, or GCP).
• Data

Robot Experience: Familiarity with the Data Robot AI Platform is a strong plus.

• MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.

Compensation Statement

The U.

S. annual on‑target earnings (OTE) range for this full‑time position is between $165,000 and $225,000 USD/year.

This range represents a combination of annual base pay and targeted commission.

Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate’s work location, job‑related skills, experience, and education.

The talent and dedication of our employees are at the core of Data Robot’s journey to be an iconic company.

We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well‑being at the core.

Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

• Data Robot Operating Principles
• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate, Decide, Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%.

At Data Robot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.

We’d love to have a conversation with you and see if you might be a great fit.

Data Robot is proud to be an Equal Employment Opportunity and Affirmative Action employer.

We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Data Robot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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