Job highlights

- Requirements. Must Have
- Director of AI and Data,Enterprise Data Services (UK). Level: Individual Contributor (3-4 years experience).
- 3-4 years experience in data science,machine learning,or applied AI. Strong Python (pandas,scikit-learn,numpy),you think in DataFrames. SQL fluency,comfortable writing complex analytical queries,window functions,CTEs.

Job Summary

Forward-Deployed AI Engineer

Location: India

Reports To: Snr. Director of AI and Data, Enterprise Data Services (UK)

Level: Individual Contributor (3-4 years experience)

Team: Enterprise Data Services - AI Engineering

Contract: Permanent, Full-Time

Role Overview

Were looking for an Forward-Deployed AI Engineer (FDE) who can take a business problem and solve it natively in Snowflake - from feature engineering through model training to deployment as a live service. This is not a platform-building role. You wont be designing schemas or managing pipelines. Youll be the person who turns business questions into working AI solutions that run in production.

What You Will Do

- Take business problems (e.g. churn risk, propensity to buy, anomaly detection, document intelligence) 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 (golden datasets, LLM-as-judge,



human review loops) 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 (contracts, support tickets, product docs etc.)
- Collaborate with AI and Data Engineers who handles platform infrastructure, you focus on the science, they handle the plumbing
- Present findings and recommendations to business stakeholders in plain language
- Contribute to the AI project lifecycle: framing problems, running spikes, evaluating results, and iterating

Requirements

Must Have

- 3-4 years experience in data science, machine learning, or applied AI
- Robust Python (pandas, scikit-learn, numpy), you think in DataFrames
- 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 - missing values, inconsistent formats, multiple sources

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Forward-Deployed AI Engineer (Chennai)
🏢 Bottom Line
📍 Chennai