eAI

Reports to: CEO / CTO

Head of AI & Data

Location

United States

Posted

30 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

Head of AI & Data

eAI

Role Description We are hiring a high-impact Head of AI & Data to lead the development of AI systems powering our analytics and decisioning platform for financial institutions. This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments. You will own the technical foundation of our platform from model design to deployment ensuring our AI systems are reliable, scalable, and enterprise-ready. What You'll Own - AI Systems & Model Development - Lead design and development of AI/ML models for prediction, decisioning, and automation - Build AI agent systems using LLMs and structured financial data - Define model architecture, training approach, evaluation, and iteration cycles - Improve model performance across accuracy, reliability, and explainability - Data Infrastructure & Engineering - Build and scale data pipelines supporting real-time and batch processing - Design data architecture for structured and unstructured financial data - Ensure data quality, consistency, lineage, and security - Support integration of multiple data sources across banking workflows - Production Deployment & Scalability - Deploy models into production environments with high reliability and uptime - Ensure systems meet enterprise requirements (latency, scalability, observability) - Build monitoring systems for model drift, performance, and anomalies - Work closely with engineering to operationalize AI features at scale - Financial Use Cases & Domain Intelligence - Translate financial workflows into AI-driven systems - Build models for use cases such as: - risk scoring - credit decisioning - fraud detection - customer behavior prediction - Work closely with product and domain experts to ensure real-world applicability Qualifications - Experience building and deploying production ML/AI systems - Strong background in machine learning, data engineering, or applied AI - Experience working with large-scale datasets and model pipelines - Hands-on ability to design and ship systems (not just research) - Strong understanding of model evaluation and system performance Requirements - Experience with LLMs, agent-based systems, or foundation models - Background at leading AI, infrastructure, or data companies - Experience in fintech, financial data, or regulated environments - Exposure to scalable cloud data/ML infrastructure (AWS, GCP, etc.) - Experience building systems from early-stage to production scale Benefits - High-impact opportunity to build the core AI infrastructure powering decisioning and analytics for financial institutions - Ownership of the technical backbone of the platform - Direct influence on how AI is applied in real banking environments Company Description Reports to: CEO / CTO

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Instructor-PG Business Management-Online/Remote

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