4 дня назад
Lead Decision Intelligence Engineer (AI) (Healthcare)
129 300 - 177 800$
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Описание вакансии
Текст:
TL;DR
Lead Decision Intelligence Engineer (AI) (Healthcare) (LangGraph/Azure OpenAI): Building production-grade decision intelligence and agentic AI capabilities for the NBA platform with an accent on decision modeling, workflow orchestration, retrieval, and AI governance. Focus on designing scalable microservices and policy engines, integrating reinforcement learning and LLM systems, and leading engineers in a regulated healthcare environment.
Location: Remote nationwide in the United States; remote/hybrid work, preferably Boston, MA, with occasional travel to offices.
Salary: $129,300–$177,800 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare and insurance company providing insurance and healthcare services to millions of members.
What you will do
- Model business decisions for member engagement, including objectives, constraints, policies, outcomes, dependencies, and feedback loops.
- Design and build production agentic workflows with LangGraph, LangChain, Azure OpenAI, Azure AI Foundry, Databricks, and 's AI Gateway.
- Develop AI capabilities for action authoring, validation, governance, recommendations, retrieval, explanations, and optimization.
- Architect scalable microservices, APIs, database schemas, action catalogs, versioning, and policy-driven eligibility services.
- Integrate rules engines and reinforcement learning or optimization models into NBA workflows.
- Establish evaluation, observability, safety, auditability, and compliance practices while leading and mentoring AI engineers.
Requirements
- Bachelor's degree in computer science or a related field.
- At least 6 years of software, machine learning, AI engineering, or decision intelligence experience, including 1–2 years of technical leadership; the additional qualification section also cites 8 or more years of progressive IT experience and 2 or more years of project leadership.
- Strong Python experience building and operating production AI systems.
- Hands-on experience with agent orchestration frameworks such as LangGraph, LangChain, AutoGen, or CrewAI.
- Experience with enterprise AI platforms, LLM application patterns, tool calling, structured outputs, RAG, memory management, workflow orchestration, and AI evaluation.
- Must be able to work remotely nationwide in the United States; dedicated workspace and internet service with at least 25 Mbps download and 10 Mbps upload are required to protect member PHI and HIPAA information.
Nice to have
- Decision intelligence methodologies, decision modeling notation, influence diagrams, decision graphs, or business decision management frameworks.
- Reinforcement learning, contextual bandits, recommendation systems, or next-best-action optimization experience.
- Databricks, MLflow, Feature Store, Mosaic AI, Azure AI Search, vector databases, or semantic retrieval systems.
- Healthcare, insurance, or other regulated-industry experience involving auditability, explainability, and compliance.
- Master's degree or experience with CRM, marketing technology, or healthcare engagement platforms.
Culture & Benefits
- Full-time employment with a 40-hour work week and typical Monday–Friday business hours.
- Medical, dental, and vision coverage, 401(k), paid time off, holidays, parental and caregiver leave, disability coverage, and life insurance.
- Remote or hybrid work with minimal travel for training, meetings, or conferences.
- Work requires secure handling of member PHI and HIPAA information.
Hiring process
- Selected applicants complete a 10–15 minute on-demand HireVue assessment.
- Applicants who pass the assessment proceed to subsequent interview rounds.
- A formal offer may require entering an SSN in Workday for duplicate-profile screening.
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