AI Engineer developing and implementing AI tooling strategies for software development projects in tech sector. Collaborating as a key liaison for AI technical solutions requirements and training.
About the role
- Senior Data & AI Architect leading design of enterprise data and AI infrastructure for healthcare sector. Engaging in advanced analytics and predictive modeling to improve outcomes in medical malpractice.
Responsibilities
- 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.
- Contribute to the strategic direction of the Data and AI organization by evaluating new technologies, publishing internal whitepapers, and representing the team in cross-functional forums.
- Mentor team across enterprise in leading best practices with the evolving technological landscape.
- Foster a culture of innovation, compliance, and continuous learning.
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).
Benefits
- Competitive compensation
- Incentive bonus plan
- Outstanding career opportunities
- Exceptional work environment
- Medical, family and bereavement leave
- Same-sex domestic partner benefits
- Short- and long-term disability programs
- Employee assistance program
- Health, dental, and vision insurance
- Health care tax-free spending accounts with a company match
- 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
- Company-sponsored participation at non-profit events
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