Director of Artificial Intelligence, AI
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Job Description
Director of AI leading organization’s AI strategy and execution. Overseeing AI solutions to optimize business processes and drive innovation at Vericast.
Responsibilities:
- 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:
- Eligible for an annual bonus incentive program
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