Mid-Level AI Transformation Engineer (Remote)

Job Description

Mid-Level AI Transformation Engineer (Remote)

Ennoble Care - Hackensack, NJ

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

Position Overview

We are seeking a talented Mid-Level AI Transformation Engineer to drive artificial intelligence innovation within our healthcare organization specializing in elderly and hospice care. This role will bridge the gap between cutting-edge AI technology and compassionate healthcare delivery, helping transform our operations, improve patient outcomes, and enhance the quality of care for our most vulnerable populations.

The ideal candidate will have a strong technical foundation in AI/ML, practical healthcare experience, and a passion for using technology to improve lives during critical stages of care.

Please note that we cannot sponsor visa candidates at this time.

Key Responsibilities

• AI Solution Development: Design, develop, and deploy AI-powered solutions tailored to senior care and hospice operations, including predictive analytics for patient deterioration, automated documentation systems, and intelligent care coordination tools
• Healthcare Process Optimization: Analyze existing clinical and operational workflows to identify opportunities for AI integration that enhance efficiency while maintaining the human-centered approach essential to hospice and senior care
• Data Strategy & Integration: Collaborate with IT and clinical teams to integrate AI solutions with existing EHR systems, ensuring HIPAA compliance and data security while maintaining accessibility for healthcare providers
• Clinical Decision Support: Build and refine machine learning models that assist healthcare providers in early detection of complications, symptom management, and personalized care planning for elderly and end-of-life patients
• Stakeholder Collaboration: Work closely with physicians, nurses, administrators, and family services teams to understand needs, gather requirements, and ensure AI solutions align with clinical best practices and organizational goals
• Training & Change Management: Develop training materials and conduct workshops to help staff understand and effectively utilize AI tools, ensuring smooth adoption and maximizing value realization
• Performance Monitoring: Establish KPIs and continuously monitor AI system performance, making iterative improvements based on feedback and outcomes data
• Regulatory Compliance: Ensure all AI implementations comply with healthcare regulations including HIPAA, FDA guidelines for clinical decision support, and ethical AI principles in healthcare
• Innovation Research: Stay current with emerging AI technologies, healthcare AI applications, and industry best practices, recommending new opportunities for AI-driven improvements in senior and hospice care
  
  

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• 3-5 years of experience in AI/ML engineering, data science, or related technical roles
• Proven experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and programming languages (Python, R, C#)
• Strong understanding of healthcare data standards (HL7, FHIR) and electronic health record systems
• Knowledge of HIPAA compliance, data privacy regulations, and healthcare security requirements
• Experience with cloud platforms (AWS, Azure, or GCP) and deploying ML models in production environments
• Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
• Demonstrated ability to work collaboratively in cross-functional healthcare teams
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Commitment to ethical AI development and patient-centered care philosophy
  
  

Preferred Qualifications

• Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or related field
• Previous healthcare experience, particularly in geriatric care, palliative care, or hospice settings
• Experience with natural language processing (NLP) for clinical documentation and medical text analysis
• Familiarity with predictive analytics for patient risk stratification and outcome prediction
• Knowledge of telemedicine platforms and remote patient monitoring technologies
• Experience implementing large language models (LLMs) or generative AI in healthcare applications
• Understanding of geriatric pharmacology, chronic disease management, and end-of-life care protocols
• Certifications in healthcare IT (CAHIMS, CPHIMS) or AI/ML (AWS ML Specialty, Google ML Engineer)
• Experience with agile development methodologies in healthcare environments
  
  

Technical Skills

Core Technologies

Programming: Python, SQL, R, C#, JavaScript/TypeScript

ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, vLLM

Data Processing: Pandas, NumPy, Apache Spark, ETL pipelines

Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD, MLOps

Healthcare-Specific

Standards: HL7, FHIR

Systems: Healthcare APIs

Compliance: HIPAA, PHI data handling, healthcare security frameworks

What We Offer

• Competitive salary commensurate with experience ($95,000 - $145,000 annually)
• Comprehensive health, dental, and vision insurance
• Flexible remote work arrangement
• Generous paid time off and holiday schedule
• Opportunity to make a meaningful impact on vulnerable populations
• Collaborative, mission-driven work environment
  
  

How to Apply

Please submit your resume, cover letter, and portfolio (if applicable) demonstrating your AI/ML projects and healthcare experience. In your cover letter, please describe why you're passionate about using AI to improve senior and hospice care.

Interview steps: Initial stage, virtual interview; Final stage, in person interview

Benefits

Full-time employees qualify for the following benefits:

• Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
• Paid Time Off
• Paid Office Holidays
  
  

All Employees Qualify For These Benefits

• Paid Sick Time
• 401(k) with up to 3% company match
• Referral Program
• Payactiv: pay-on-demand. Cash out earned money when and where you need it!
  
  

Ennoble Care is an Equal Opportunity Employer.