7 дней назад
Director, Technology Solutions (AI)
172 200 - 236 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Technology Solutions (AI): Leading end-to-end solution architecture for CenterWell healthcare platforms, provider-data integrations, and cloud data strategies with an accent on generative and agentic AI, interoperability, and regulated healthcare environments. Focus on designing cross-cloud AI architectures, governing secure data and integration patterns, and building reliable MLOps/LLMOps capabilities across Azure, AWS, and Google Cloud.
Location: Louisville, Kentucky, United States
Salary: $172,200–$236,900 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance services and CenterWell healthcare services.
What you will do
- Lead end-to-end solution architecture for CenterWell Home Health initiatives and strategic healthcare platforms.
- Develop reference architectures and reusable design patterns for data platforms, clinical document NLP, RPA, automation, and interoperability.
- Define integration strategies, domain boundaries, and data flows for provider data, EMR, Snowflake, Databricks, and Azure platforms.
- Lead architecture reviews, governance checkpoints, risk assessments, and compliance alignment.
- Partner with product, engineering, security, data, enterprise architecture, operations, and executive stakeholders.
- Enable delivery through architectural runways, measurable non-functional requirements, observability, lineage, and data protection.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- At least 8 years of progressive information technology experience, including architecture or engineering.
- At least 5 years of solution architecture experience in healthcare delivery or payer/provider ecosystems, including regulated HIPAA/PHI environments.
- Hands-on experience with Azure, Snowflake, Databricks, data lake and data platform patterns, identity and access management, and secrets management.
- Strong knowledge of APIs, event-driven integration, security models, availability, performance, and resilience requirements.
- Experience delivering generative and agentic AI across Google Cloud, Azure, and AWS, including RAG, fine-tuning, agent orchestration, responsible AI, MLOps/LLMOps, vector databases, and CI/CD integration.
Culture & Benefits
- Full-time schedule of 40 hours per week.
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, and paid parental and caregiver leave.
- Short-term and long-term disability coverage, life insurance, and additional wellness benefits.
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