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

Base salary: $175,000-$200,000
Eligible for an annual bonus incentive program
Health insurance
Flexible work arrangements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI solutionsmachine learningdata engineeringNLP automationMicroservices ArchitectureKubernetesAWSAzureSQL performance tuningbig data infrastructure

Soft skills

leadershipmentoringcollaborationstrategic planningthought leadershipcommunicationteam managementinnovationethical guidelines establishmenttrend monitoring

Certifications

Bachelor's DegreeMS degree