Forward-Deployed AI Engineer

The role

You will design and build AI solutions natively in Snowflake to solve business problems. This includes feature engineering, model training, and deployment as live services.

What you will do

• Take business problems and design AI solutions using Snowflake-native capabilities
• Build and evaluate ML models using Snowflake ML Functions, Snowpark ML, and Cortex AI
• Design and implement Cortex Agents that combine structured data queries with unstructured document intelligence
• Create evaluation frameworks to prove solutions meet success metrics
• Work with Cortex Analyst semantic views to enable natural language access to business data
• Build Cortex Search services over unstructured documents
• Collaborate with AI and Data Engineers
• Present findings and recommendations to business stakeholders in plain language
• Contribute to the AI project lifecycle

Required qualifications

• 3-4 years experience in data science, machine learning, or applied AI
• Strong Python (pandas, scikit-learn, numpy)
• SQL fluency, comfortable writing complex analytical queries, window functions, CTEs
• Experience building classification or regression models and evaluating them rigorously (precision, recall, F1, AUC)
• Experience with at least one of: NLP, document extraction, recommendation systems, or anomaly detection
• Comfortable working with messy real-world data
• Great communications skills and can work directly with stakeholders end to end
• Can communicate findings to non-technical stakeholders clearly

Nice to have

• Snowflake experience (Snowpark Python, Cortex AI functions, ML model registry)
• Experience with LLMs in production (prompt engineering, RAG architectures, evaluation of generative outputs)
• Understanding of Cortex Agents, Cortex Search, or Cortex Analyst
• Experience building evaluation sets and measuring AI quality systematically
• Familiarity with feature engineering for tabular business data
• Experience in F intech, B2B payments, or B2B SaaS
• Familiarity with A/B testing or causal inference methods
• Experience with Streamlit for rapid prototyping of data apps

About the company

Bottomline is a global leader in business payments and cash management with over 35 years of experience. They move more than $16 trillion in payments annually.