Forward-Deployed AI Engineer
Bottomline21 days ago
Remote, IndiaMid Level
Responsibilities
- Design AI solutions in Snowflake for business problems such as churn risk, propensity to buy, anomaly detection, and document intelligence.
- Build and evaluate machine learning models using Snowflake ML Functions, Snowpark ML, and Cortex AI.
- Design Cortex Agents that combine structured data queries with unstructured document intelligence.
- Create evaluation frameworks using golden datasets, LLM-as-judge methods, and human review loops.
- Use Cortex Analyst semantic views and Cortex Search services to enable natural-language data access and document search.
- Collaborate with AI and Data Engineers while focusing on applied data science and solution development rather than platform infrastructure.
- Present findings and recommendations clearly to business stakeholders.
- Own AI projects through problem framing, spikes, evaluation, governance, and production deployment.
Requirements
- 3–4 years of experience in data science, machine learning, or applied AI.
- Strong Python skills, including pandas, scikit-learn, and NumPy.
- Fluency in SQL, including complex analytical queries, window functions, and common table expressions.
- Experience building and rigorously evaluating classification or regression models using metrics such as precision, recall, F1, and AUC.
- Experience with at least one of NLP, document extraction, recommendation systems, or anomaly detection.
- Ability to work with messy real-world data containing missing values, inconsistent formats, and multiple sources.
- Strong communication skills and ability to work directly with stakeholders end to end.
- Preferred experience with Snowflake, Snowpark Python, Cortex AI functions, and the ML model registry.
- Preferred experience with production LLMs, prompt engineering, RAG architectures, generative-output evaluation, and Cortex Agents, Cortex Search, or Cortex Analyst.
- Preferred experience creating AI evaluation sets, conducting error analysis, and engineering features for tabular business data.
- Nice-to-have experience in fintech, B2B payments, B2B SaaS, A/B testing, causal inference, or Streamlit.
Benefits
- Permanent, full-time employment.
- Location options include Pune, Bangalore, or remote within India.
- Direct stakeholder access and business impact from the start.
- Prioritized backlog of AI projects and a governed, evaluation-driven AI engineering lifecycle.
- Opportunity to build and ship a first AI solution to production within the first 90 days.
- Inclusive equal-opportunity workplace committed to supporting additional needs.
Tech Stack
Categories
Forward Deployed
About Bottomline
Bottomline builds SaaS solutions that help banks, corporates, and other financial institutions automate B2B payments, cash and treasury management, fraud detection, and financial messaging, including SWIFT and real-time payment rails. Founded in 1989 and headquartered in Portsmouth, NH, the company is privately held under Thoma Bravo and says its platforms move more than $16 trillion in payments annually.