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Director of Artificial Intelligence, AI

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 5,001-10,000H1B No SponsorCompany Site LinkedIn

Location

Texas

Posted

51 days ago

Salary

$175K - $200K / year

Bachelor Degree15 yrs expEnglishAirflowAWSAzureCloudETLJava ScriptKubernetesMicroservicesNode.jsOpen ShiftPy SparkSpringSpring BootSpring BootSQL

Job 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%)

Job 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.