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Bank OZK

Regional bank financing commercial real estate

Vice President – Principal AI Machine Learning Engineer

Natural Language Processing & LLMsUpdated on Nov 7
Full-timeDallas, TX, USANo salary listedIn-person

About the Job

Requirements

  • Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field, or commensurate work experience is required.
  • At least 6 years of experience in AI/ML engineering or applied AI system development is required.
  • Comprehensive knowledge of model fine-tuning and optimization techniques is required.
  • Comprehensive knowledge of distributed systems and microservices architecture beyond AI applications is required.
  • Comprehensive knowledge of machine learning fundamentals is required.
  • Proficient skill with agentic AI orchestration tools such as LangGraph, AutoGen, and Camunda is required.
  • Proficient skill in Python and Java for AI application development is required.
  • Advanced skills in large language models, natural language processing, and generative AI applications are required.
  • Skill with cloud platforms such as AWS, Azure, and GCP and containerization technologies such as Docker and Kubernetes is required.
  • Skill with databases including SQL, NoSQL, and vector databases is required.
  • Ability to maintain confidentiality and exercise discretion and sound judgment in technical decision-making is required.
  • Ability to work with minimal or no supervision is required.
  • Ability to manage multiple projects or assignments and demonstrate flexibility in a continually changing environment is required.
  • Ability to build scalable microservices and retrieval-augmented generation systems is required.
  • Applicants must be able to maintain authorization to work in the United States without current or future employer sponsorship.

Responsibilities

  • Lead the architecture, implementation, and monitoring of scalable, production-grade generative AI foundational and large language models and agentic AI solutions, ensuring alignment with organizational goals and measurable business outcomes.
  • Manage a multidisciplinary team and foster innovation across the enterprise.
  • Drive knowledge-base parity and proof-of-concept development between Bank OZK and the industry.
  • Architect, design, and deploy large language model-based and agentic AI systems at scale using technologies such as GPT-4/5, LLaMA, Mistral, and Gemini.
  • Develop and maintain retrieval-augmented generation pipelines and agentic workflows using tools such as LangGraph, AutoGen, Milvus, Pinecone, or Weaviate.
  • Build cloud-native, scalable microservices to support AI applications in production environments.
  • Implement AI-powered applications using Python and Java, maintaining robust and maintainable codebases.
  • Support data ingestion, preprocessing, and prompt tuning for model development.
  • Implement the leadership strategy to deploy, monitor, version, and scale AI systems on cloud platforms.
  • Enable and advocate the enterprise AI strategy in alignment with business objectives, regulatory requirements, and ethical standards.
  • Collaborate with senior engineers, product managers, and research scientists to deliver enterprise-grade AI solutions.
  • Ensure compliance, security, and responsible use of AI technologies across deployed solutions.
  • Monitor advancements in AI and machine learning research and tools to inform ongoing development and strategic direction.
  • Perform other duties as assigned.

About the Company

Bank OZK

Regional bank financing commercial real estate

Bank OZK is a regional bank that focuses on commercial real estate construction financing for institutional-grade developers in major U.S. markets. It funds large CRE loans through its Real Estate Specialties Group (RESG) using a strong retail deposit base, complemented by a high‑performing Corporate and Institutional Banking division that includes sponsor, equipment, and fund finance, supported by in-house capital markets and treasury services. The bank differentiates itself with disciplined underwriting, deep expertise in complex assets, and execution certainty, enabling large, senior-secured facilities and diversified revenue across CRE and corporate banking. Its goal is to maintain leadership in high-barrier urban projects while staying resilient through cycles by expanding services and deepening institutional client relationships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Little Rock, AR
Founded
1903

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