Senior Data & AI Architect – Enterprise & AI Enablement

Role Overview

• Define and evolve the architectural blueprint for data and AI systems that support underwriting, claims intelligence, and regulatory reporting.
• Architect end-to-end pipelines and platforms that deliver real-time insights into provider risk, litigation trends, and claim severity.
• Establish architectural standards and governance aligned with HIPAA, NAIC, and SOC 2.
• Design infrastructure to support predictive modeling, risk scoring, and generative AI use cases such as patient safety, claims triage, documentation summarization, and litigation forecasting.
• Enable deployment of LLMs and NLP models for legal and clinical document processing.
• Ensure model transparency, fairness, and defensibility in regulated environments.
• Lead the design and management of data lakes, warehouses, and structured repositories integrating clinical, legal, and financial data.
• Oversee development of ETL/ELT workflows and streaming pipelines from EHRs, incident reports, and claims systems.
• Ensure data quality, lineage, and auditability across actuarial and compliance functions.
• Build and maintain cloud-native platforms on Azure for scalable AI workloads.
• Implement infrastructure-as-code (Bicep, Terraform), containerization (Docker), and orchestration (Kubernetes).
• Integrate DevOps and MLOps practices to support continuous delivery and monitoring of AI-enabled features.
• Partner with patient safety, marketing, underwriting, legal, actuarial, and compliance teams to align architectural decisions with business goals and regulatory mandates.
• Mentor engineers and analysts on best practices in data architecture and responsible AI.
• Evaluate emerging technologies to enhance risk modeling and provider engagement.

Requirements

• Advanced degree in Computer Science, Data Engineering, or related field
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field (PhD a plus).
• 8+ years of experience in data architecture, AI/ML systems design, or cloud infrastructure, with at least 3 years in healthcare, insurance, or legal tech.
• Deep expertise in cloud platforms (Azure preferred), data infrastructure (e.g., Snowflake, Databricks), and streaming frameworks (Kafka, Spark).
• Strong experience with ETL/ELT, data governance, and batch/real-time processing.
• Proficiency in Python, SQL, and infrastructure tools (Terraform, Docker, Kubernetes).
• Familiarity with MLOps, model monitoring, and AI/ML lifecycle management in regulated environments.
• Understanding of healthcare data standards (FHIR, HL7), insurance data models, and regulatory frameworks (HIPAA, NAIC, SOC 2).

Tech Stack

• Azure
• Cloud
• Docker
• ETL
• Kafka
• Kubernetes
• Python
• Spark
• SQL
• Terraform

Benefits

• Health, dental, and vision insurance
• 401(k) and Roth IRA with company match, as well as catch-up plans for both
• Vacation days, sick days, and paid personal days each calendar year (with vacation increases based on length of service)
• Paid holidays each calendar year
• Life and travel insurance
• Tax-free commuter benefits
• In-person and online learning opportunities
• Cross-function career opportunities
• Business casual work environment
• Time off to volunteer
• Matching donations to qualifying nonprofit organizations