[Hiring] 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