Data & AI Engineer

Posted 8 Days Ago
Bartlesville, OK, USA
In-Office
Senior level
Financial Services
The Role
Build and maintain data pipelines and AI-enabled workflows using Python, SQL, and LLM frameworks. Implement vector search, embeddings, RAG, and prompt engineering to automate data classification, extraction, and reporting. Collaborate with analysts, engineers, and compliance teams to ensure accuracy, transparency, and regulatory adherence.
Summary Generated by Built In

JOB SUMMARY

Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.

You’ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems.

ESSENTIAL FUNCTIONS

  1. Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.
  2. Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.
  3. Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.
  4. Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.
  5. Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.
  6. Integrate LLM-based agents for structured and unstructured data extraction, Q&A, and document parsing.
  7. Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.
  8. Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.
  9. Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.
  10. Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.
  11. Document data workflows and AI tools clearly for reuse, maintainability, and auditability.
  12. Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.

KNOWLEDGE, SKILLS, & ABILITIES

  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying, transforming, and joining relational data.
  • Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).
  • Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.
  • Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).
  • Knowledge of AI agent frameworks and task routing techniques.
  • Ability to build and refine prompt templates and AI-assisted data workflows.
  • Comfort working with cloud environments (e.g., Azure, AWS, or GCP).
  • Strong documentation, communication, and cross-functional collaboration skills.
  • Knowledge of version control, CI/CD pipelines, and containerization tools is preferred
  • Awareness of ethical AI, privacy considerations, and data compliance standards.

QUALIFICATIONS

  • Bachelor’s degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.

REGULATORY COMPLIANCE & OTHER REQUIREMENTS

  • Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.
  • Regular attendance and active collaboration are essential.
  • Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.
  • Reasonable accommodations will be made under the ADA when applicable.

This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or [email protected] for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.

Skills Required

  • Bachelor's degree in Data Science, Computer Science, or related technical field.
  • 5+ years of experience in data engineering, analytics, or scripting-heavy roles.
  • 2+ years working with AI/ML tools or automation frameworks.
  • Proficiency in Python for scripting, data manipulation, and automation.
  • Strong command of SQL for querying and transforming relational data.
  • Experience with LLM tools and frameworks (e.g., LangChain, OpenAI APIs, RAG).
  • Familiarity with vector stores and embedding-based search (e.g., FAISS, Weaviate).
  • Understanding of data pipelines and orchestration tools (dbt, Airflow, Pandas workflows).
  • Comfort working with cloud environments (Azure, AWS, or GCP).
  • Knowledge of version control, CI/CD pipelines, and containerization tools.
  • Awareness of ethical AI, privacy considerations, and data compliance standards.
  • Ability to maintain confidentiality and comply with BSA, OFAC, AML, and Identity Theft Red Flags policies.
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The Company
237 Employees
Year Founded: 1939

What We Do

Truity Credit Union is a member-owned and operated full-service financial institution founded in 1939. It provides a comprehensive range of financial services, including checking and savings accounts, auto loans, home loans, and credit cards to its members. Serving communities in Bartlesville, OK, Lawrence, KS, and Houston, TX, Truity focuses on member interests by offering competitive rates and lower fees.

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