Data & AI Engineer

Truity Credit Union-posted 9 days ago
Full-time • Mid Level
Bartlesville, OK
101-250 employees
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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 . Youll 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.

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