AI Data Engineer

About the Role

Visory Health is looking for an AI Data Engineer to own the design and execution of AI-powered data pipelines and operational efficiency initiatives. In this role, you’ll build systems that gather, validate, transform, and load data into our internal databases, while also supporting AI tool set-up, optimization and adoption across the organization.

What You'll Do

• Design and maintain AI-assisted pipelines for gathering and processing data, preparing it for database ingestion

• Build prompt engineering workflows and extraction logic using LLMs and third-party AI tools to automate structured data collection

• Validate, normalize, and transform data to meet internal schema requirements before database upload

• Collaborate with product, analytics, and ops teams to identify data quality issues and resolve them upstream

• Document data lineage, transformation logic, validation rules, unauthorized events, and AI hallucinations to support compliance and audit readiness

• Coordinate with legal and compliance to vet AI tools against HIPAA requirements and internal data governance standards before deployment

• Evaluate and integrate third-party AI tools that improve data processing speed and accuracy while maintaining company security standards

• Partner with internal stakeholders to continuously improve data pipeline reliability and coverage

• Evaluate, configure, and deploy third-party AI tools that improve workflows across operations and administrative functions

• Build and maintain lightweight automations to reduce repetitive manual work

• Lead internal training and onboarding for new AI tools, serving as the go-to resource for non-technical staff learning to use them effectively

• Track and report on tool adoption and efficiency gains; quantify time savings and surface insights to leadership

• Manage vendor relationships for deployed AI tools, including renewals, troubleshooting, and feature requests

Who We're Looking For

• 3–5 years of experience in data engineering, analytics engineering, business operations, and/or a related field

• Proficiency in Microsoft Azure, Python, JavaScript, Postgress and SQL; experience with data pipeline tools

• Hands-on experience with LLM APIs or AI-assisted data extraction (OpenAI, Anthropic, etc.)

• Familiarity with prompt engineering and structured output design

• Experience working with data validation frameworks

• Strong communication skills — able to work with both technical and non-technical stakeholders

Nice to Have

• Experience working with relational databases

• Background in healthcare tech or PBM experience

• Ability to instruct and manage tool adoption thoughout the organization

• Comfortable navigating a regulated environment; familiar with HIPAA or willing to learn quickly

• Excellent communicator who can translate technical capabilities into plain language for clinical or ops teams