Senior AI Engineer

NeueHealth; Lorida (FL); Remote; USD 140,000 - 190,000; Full time

Job summary

NeueHealth is seeking a Senior AI Engineer to lead the design, delivery, and production operation of AI-powered healthcare products. The role focuses on agentic workflows, RAG systems, and enterprise-scale AI services delivered in a compliant, HITRUST-aligned environment.

You will collaborate across Product, Data, Security, and clinical teams to translate real-world workflows into validated AI solutions, with emphasis on safety, governance, and measurable outcomes.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Linguistics, or a related field; Hands-on experience delivering and operating production or near-production AI/ML/LLM-enabled applications.
• Strong proficiency in Python, Java, Scala, C#, TypeScript or a comparable modern language.
• Deep working knowledge of structured outputs, RAG, tool use, evaluations, guardrails, monitoring, and human-in-the-loop design.
• Experience with cloud services and data-intensive systems; ability to collaborate across structured-data products and unstructured-data pipelines.
• Experience translating AI experimentation into production solutions for enterprise or regulated environments, with attention to safety, reliability, security, governance, and measurable outcomes.
• Healthcare experience involving PHI/PII, clinical or operational workflows, payer/provider operations, auditability, safety review, compliance controls, or value-based care.
• Experience with cloud AI and data platforms such as Azure, AWS, GCP, Databricks, Agent Bricks, Genie, Azure AI Foundry/Azure OpenAI, Azure ML, AKS/Kubernetes, OpenTelemetry, or AI observability and evaluation tooling.

Responsibilities

• Lead the end-to-end delivery of complex AI products including agentic workflows, RAG systems, and services.
• Collaborate with Product, Engineering, Data, and clinical and operational teams.
• Translate stakeholder needs into validated, access-aware AI workflows with clear system behavior, acceptance criteria, risk controls, and delivery trade-offs.
• Design AI workflow and RAG product lines, including ingestion, retrieval quality, attribution, confidence handling, agent tools, and human-review paths.
• Implement workflows with reliable AI control layers and optimize healthcare AI models across prompting, retrieval, reranking, fine-tuning, and model-selection approaches.
• Own healthcare AI evaluation and release frameworks, including adversarial testing, regression thresholds, release gates, and production telemetry.
• Deliver healthcare AI services using approved cloud capabilities and HITRUST-aligned controls for PHI/PII, security, privacy, auditability, responsible AI, and compliance.

Skills

Python

Java

Scala

C#

TypeScript

RAG workflows

Governance

Security

AI evaluation

Cloud data pipelines

Education

Bachelor's degree in CS/CE/IS/DS

Tools

Azure

AWS

GCP

Databricks

Kubernetes

OpenTelemetry

Azure AI Foundry

Job description

WHO WE ARE

NeueHealth is a value-driven healthcare company grounded in the belief that all health consumers are entitled to high-quality, coordinated care. By uniquely aligning the interests of health consumers, providers, and payors, we help to make healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.
NeueHealth delivers clinical care to health consumers through our owned clinics – Centrum Health and Premier Medical – as well as unique partnerships with affiliated providers across the country. We also enable providers to succeed in performance-based arrangements through a suite of technology and services scaled centrally and deployed locally. The Senior AI Engineer leads the design, delivery, and production operation of complex healthcare AI products spanning traditional software enhanced by AI to AI-native, agentic workflows. Working independently and in close partnership with Product, business, clinical, operational, Data Engineering, Platform, and Security teams, the Senior AI Engineer translates real-world workflows into configuration-driven decision logic and scalable systems for operating AI at enterprise scale. They curate domain datasets, drive evaluation-based iteration, optimize models and retrieval, and help advance what is possible with AI in a highly regulated healthcare environment.
This is a work-from-home position; Lead the end-to-end delivery of complex AI products including agentic workflows, RAG systems, and services.
Collaborate with Product, Engineering, Data, and clinical and operational teams.
Translate stakeholder needs into validated, access-aware AI workflows with clear system behavior, acceptance criteria, risk controls, and delivery trade-offs.
Design AI workflow and RAG product lines, including ingestion, retrieval quality, attribution, confidence handling, agent tools, and human-review paths.
Implement workflows with reliable AI control layers and optimize healthcare AI models across prompting, retrieval, reranking, fine-tuning, and model-selection approaches.
Own healthcare AI evaluation and release frameworks, including adversarial testing, regression thresholds, release gates, and production telemetry.
Deliver healthcare AI services using approved cloud capabilities and HITRUST-aligned controls for PHI/PII, security, privacy, auditability, responsible AI, and compliance.

EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Linguistics, or a related field; Hands-on experience delivering and operating production or near-production AI/ML/LLM-enabled applications.


• Strong software engineering expertise in service and data-contract design, testing, CI/CD, observability, debugging, reliability, and operational support.


• Strong proficiency in Python, Java, Scala, C#, TypeScript or a comparable modern language.


• Deep working knowledge of structured outputs, RAG, tool use, evaluations, guardrails, monitoring, and human-in-the-loop design.


• Experience with cloud services and data-intensive systems; ability to collaborate across structured-data products and unstructured-data pipelines.


• Demonstrated self-directed exploration of emerging AI capabilities through independently built prototypes, tools, experiments, or applications.


• Experience translating AI experimentation into production solutions for enterprise or regulated environments, with attention to safety, reliability, security, governance, and measurable outcomes.


• Healthcare experience involving PHI/PII, clinical or operational workflows, payer/provider operations, auditability, safety review, compliance controls, or value-based care.


• Experience with cloud AI and data platforms such as Azure, AWS, GCP, Databricks, Agent Bricks, Genie, Azure AI Foundry/Azure OpenAI, Azure ML, AKS/Kubernetes, OpenTelemetry, or AI observability and evaluation tooling.

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of NeueHealth, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.