DataRobot
Senior AI Engineer - Professional Services
DataRobot 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. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets.
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 role involves designing, building, and deploying a wide range of applications—from powerful predictive models to sophisticated GenAI 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.
Key Responsibilities
Partner with Customers: Collaborate with customer stakeholders to understand 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 DataRobot platform and open-source tools. This includes:
Agentic AI: Developing and deploying agents on DataRobot leveraging frameworks such as Langgraph, CrewAI, Llama Index
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems
Predictive AI: Developing and deploying traditional ML models for forecasting, churn prediction, fraud detection
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on MLOps, model governance, and scaling AI initiatives.
Deliver Value: Ensure solutions are robust, scalable, and contribute to the customer\'s business objectives.
Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to technical and non-technical audiences, including data scientists and executives.
Knowledge, Skills and Abilities
AI & Machine Learning Expertise
Strong proficiency in Python and data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
Practical experience with Generative AI technologies, including Large Language Models (LLMs) and vector databases
Understanding of the end-to-end agentic AI lifecycle from building agents to at-scale deployment and monitoring
Application Development & Operations
Experience developing and deploying applications, including building REST APIs to serve ML models and GenAI logic
Proficiency with Docker and Kubernetes; secure application development practices including authentication/authorization, secrets management, and securing endpoints
Customer focus with client-facing or consulting experience and strong communication skills
Problem-solving mindset with curiosity for unstructured problems
Requisite Education and Experience / Minimum Qualifications
Experience: Approximately 6-8 years in AI application development, software engineering, or a related role with a track record of deploying AI solutions into production
Education: Master\'s Degree or PhD in Computer Science, Statistics, AI, Engineering, or related quantitative field
Cloud Experience: Hands-on with a major cloud platform (AWS, Azure, or GCP)
DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus
MLOps Knowledge: Understanding of MLOps principles and tools for CI/CD, monitoring, and governance
Compensation and Benefits The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $220,000 USD/year. This range combines base pay and targeted commission. Offers may vary based on location, skills, experience, and education.
Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global EAP, and more, depending on location and local requirements.
DataRobot 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
DataRobot is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on protected characteristics and provide reasonable accommodations to applicants with disabilities. All applicant data is handled in accordance with our Applicant Privacy Policy.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries: Software Development
Referrals increase your chances of interviewing at DataRobot. Get notified about new Senior Professional Services Engineer jobs in Massachusetts, United States.
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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 role involves designing, building, and deploying a wide range of applications—from powerful predictive models to sophisticated GenAI 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.
Key Responsibilities
Partner with Customers: Collaborate with customer stakeholders to understand 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 DataRobot platform and open-source tools. This includes:
Agentic AI: Developing and deploying agents on DataRobot leveraging frameworks such as Langgraph, CrewAI, Llama Index
Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems
Predictive AI: Developing and deploying traditional ML models for forecasting, churn prediction, fraud detection
Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on MLOps, model governance, and scaling AI initiatives.
Deliver Value: Ensure solutions are robust, scalable, and contribute to the customer\'s business objectives.
Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to technical and non-technical audiences, including data scientists and executives.
Knowledge, Skills and Abilities
AI & Machine Learning Expertise
Strong proficiency in Python and data science libraries (e.g., pandas, scikit-learn, NumPy, etc.)
Practical experience with Generative AI technologies, including Large Language Models (LLMs) and vector databases
Understanding of the end-to-end agentic AI lifecycle from building agents to at-scale deployment and monitoring
Application Development & Operations
Experience developing and deploying applications, including building REST APIs to serve ML models and GenAI logic
Proficiency with Docker and Kubernetes; secure application development practices including authentication/authorization, secrets management, and securing endpoints
Customer focus with client-facing or consulting experience and strong communication skills
Problem-solving mindset with curiosity for unstructured problems
Requisite Education and Experience / Minimum Qualifications
Experience: Approximately 6-8 years in AI application development, software engineering, or a related role with a track record of deploying AI solutions into production
Education: Master\'s Degree or PhD in Computer Science, Statistics, AI, Engineering, or related quantitative field
Cloud Experience: Hands-on with a major cloud platform (AWS, Azure, or GCP)
DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus
MLOps Knowledge: Understanding of MLOps principles and tools for CI/CD, monitoring, and governance
Compensation and Benefits The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $220,000 USD/year. This range combines base pay and targeted commission. Offers may vary based on location, skills, experience, and education.
Benefits may include Medical, Dental & Vision Insurance, Flexible Time Off, Paid Holidays, Paid Parental Leave, Global EAP, and more, depending on location and local requirements.
DataRobot 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
DataRobot is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on protected characteristics and provide reasonable accommodations to applicants with disabilities. All applicant data is handled in accordance with our Applicant Privacy Policy.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries: Software Development
Referrals increase your chances of interviewing at DataRobot. Get notified about new Senior Professional Services Engineer jobs in Massachusetts, United States.
#J-18808-Ljbffr