- Company Name
- Truity Credit Union
- Job Title
- Data & AI Engineer
- Job Description
-
Job title: Data & AI Engineer
Role Summary: Design, build, and maintain data pipelines and AI-driven workflows to enhance data quality, automate classification, and generate actionable insights across structured and semi‑structured sources.
Expectations: Deliver reliable, efficient data transformation and AI solutions that comply with privacy and regulatory standards; collaborate cross‑functionally to identify AI opportunities and document reusable processes.
Key Responsibilities: • Construct ingestion, cleansing, enrichment, and formatting pipelines using Python and SQL. • Automate data classification, validation, and reporting with AI tools, including LLMs and generative models. • Integrate vector stores and semantic search (FAISS, Weaviate) for advanced retrieval and knowledge management. • Build lightweight scripts for on‑demand exploration, transformation, and summarization. • Configure and test LangChain, RAG, and other AI orchestration frameworks. • Monitor and troubleshoot AI/data automation scripts for accuracy, transparency, and compliance. • Document workflows, prompt templates, and AI tools for maintainability and auditability. • Partner with risk, security, and compliance teams to ensure responsible AI use.
Required Skills: • Proficient in Python (scripting, data manipulation, automation). • Advanced SQL (querying, transforming, joining). • Experience with LLM frameworks (LangChain, OpenAI APIs, RAG). • Knowledge of vector databases (FAISS, Weaviate) and embeddings. • Familiarity with orchestration tools (dbt, Airflow, Pandas workflows). • Working knowledge of cloud environments (Azure, AWS, GCP). • Strong documentation, communication, and cross‑functional collaboration. • Version control, CI/CD, and containerization (Docker) preferred. • Awareness of ethical AI, privacy, and data compliance.
Required Education & Certifications: • Bachelor’s degree in Data Science, Computer Science, or related field. • 5+ years in data engineering, analytics, or heavily scripting roles; 2+ years with AI/ML or automation frameworks.
Bartlesville, United states
On site
Mid level
18-03-2026