Director of Artificial Intelligence – AI

Job not on LinkedIn

November 22

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Logo of Vericast

Vericast

Finance • Fintech • SaaS

Vericast is a company focused on accelerating the performance of financial institutions. Through the use of data, artificial intelligence, and innovative strategies, Vericast helps banks and credit unions drive growth and enhance their marketing performance. The company provides a variety of solutions including digital marketing, direct mail, card solutions, check solutions, customer and employee insights, and customer change management. Vericast leverages responsibly sourced data to engage consumers effectively, which is why many financial institutions trust them for solving marketing challenges. Their expertise in the financial sector is aimed at delivering insights and growth solutions, positioning them as a leader in financial marketing services.

5001 - 10000 employees

💸 Finance

💳 Fintech

☁️ SaaS

📋 Description

• Lead the design, development, and deployment of AI and machine learning solutions to optimize business processes and enhance products and services (30%) • Build, mentor, and manage a high-performing team of AI engineers, ML Ops Engineers, and Researchers (20%) • Collaborate in developing and implementing the overall AI strategy, roadmap, and governance for the organization (10%) • Collaborate with executive leadership and business units to identify opportunities for AI-driven innovation and efficiency (10%) • Oversee the selection and integration of AI technologies and platforms, ensuring scalability, reliability, and security (10%) • Help establish ethical guidelines and best practices for responsible AI development and deployment (5%) • Monitor emerging trends, technologies, and regulatory developments in AI and assess their impact on the organization (5%) • Manage partnerships with academic institutions, industry leaders, and technology vendors to advance the organization’s AI capabilities (5%) • Drive thought leadership through presentations, publications, and participation in industry forums (5%)

🎯 Requirements

• Bachelor's Degree (Required). MS degree preferred. • Degree in a technical or numerical field with 5+ years of experience in Banking, FinTech or Marketing. • 15+ years’ experience designing and developing various Applications and/or Data Engineering pipelines. • 5+ years’ experience in leading Data engineers and App Developers and building Financial Services Solutions in big data infrastructure. • Experience in LangGraph, LangChain, RAG Chatbots, Vector Databases, NLP-based automation, MCP Server Development, Embedding-based Search, LLM Integration is required. • Experience in Microservices Architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, DevOps Automation, Cloud-Native Design is required. • Experience using Trino, Superset, Starburst SQL Server, ETL Tools, S3, Airflow, Iceberg, PySpark, Hive preferred. • Publications or patents in AI-related areas preferred. • Experience in Data Modeling, DB capacity/growth planning and SQL performance tuning. • Experience working in a global or multi-site environment.

🏖️ Benefits

• Position is eligible for an annual bonus incentive program

Apply Now

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