AI Data Engineer II

Job Title: Data Engineer II

Location: System Business Office

Department Name: IT S Data and AI Engineering

Req #: 0000247939

Status: Salaried

Shift: Day

Pay Range: $75,597.00 - $106,780.00 per year

Pay Transparency:

The above reflects the anticipated annual salary range for this position if hired to work in New Jersey.

The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience.

Job Overview:

The AI Data Engineer II supports the enterprise Data & Analytics team in designing, developing, deploying, and maintaining AI solutions that improve operational efficiency, decision-making, and digital experiences across the organization. This individual functions as part of a multidisciplinary team supporting both traditional AI/ML and modern applied AI initiatives, including predictive modeling, forecasting, anomaly detection, intelligent automation, document intelligence, chatbot design and development, and AI agent development.

The AI Data Engineer II works with structured and unstructured data, enterprise platforms, cloud technologies, and software engineering best practices to deliver scalable, secure, and reliable AI capabilities. Responsibilities include collaborating with business and technical stakeholders to identify use cases, preparing and transforming data, developing and evaluating models and AI workflows, integrating solutions into production environments, and supporting monitoring, quality, governance, and continuous improvement in a healthcare setting.

The individual must maintain a strong understanding of modern software engineering and AI technologies/frameworks and demonstrate a passion for learning new tools, techniques, and industry best practices.

Qualifications

Education

• Minimum: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or related technical discipline.

Work Experience:

o  Mid-level experience in AI Data Engineering, machine learning engineering, data science engineering, software

engineering, or a similar technical role.

o  Experience developing and deploying AI/ML solutions using Python and SQL in enterprise or cloud-based environments.

o  Experience with machine learning techniques for forecasting, prediction, classification, anomaly detection, or optimization.

o  Experience designing and implementing modern applied AI solutions such as AI agents, chatbot / conversational AI applications, document intelligence, or other NLP- and LLM-enabled workflows.

o  Knowledge of data acquisition and integration using APIs, REST/JSON, relational and non-relational data sources, and unstructured document/content inputs.

o  Experience with model evaluation, testing, prompt / workflow iteration, monitoring, and continuous improvement of AI solutions in production environments.

o  Working knowledge of software engineering best practices including version control, CI/CD, reusable code design, and secure deployment practices.

o  Experience working with cloud platforms, data platforms, and AI/ML services; familiarity with healthcare data, privacy, security, and governance requirements is preferred.

Licenses and Certifications:

• • Preferred: Professional certifications in cloud platforms, AI/ML technologies, data platforms, or related technical domains.

Key Competencies

• • Mid-level experience delivering AI and machine learning solutions in enterprise environments using structured and unstructured data.
  • Mid-level knowledge of Python, SQL, model development workflows, and cloud-based AI/ML or data platforms.
  • Experience applying AI/ML techniques for forecasting, prediction, anomaly detection, classification, or optimization to support business and operational use cases.
  • Experience designing or supporting modern applied AI capabilities such as AI agents, chatbot / conversational AI solutions, document intelligence, and other NLP- or LLM-enabled workflows.
  • Analytical problem-solving: seeking, logically examining, and interpreting information from different sources to identify root causes, evaluate solution options, and improve outcomes.
  • Adaptability/flexibility: demonstrating flexibility with respect to changing business priorities, emerging technologies, evolving requirements, and iterative AI solution development.
  • Dependability: taking ownership of work activities and ensuring that deliverables are completed accurately, efficiently, securely, and on time in a fast-paced environment.
  • Initiative: recognizing assignments or opportunities that need to be addressed, proactively improving solutions, and contributing to continuous learning and innovation.
  • Interpersonal and communication skills: communicating technical concepts, solution tradeoffs, and results clearly and concisely to technical and non-technical stakeholders.
  • Learning agility: ability and willingness to learn new software, platforms, AI frameworks, and evolving industry best practices.
  • Responsible AI and governance mindset: understanding the importance of privacy, security, data stewardship, model quality, and appropriate human oversight in healthcare-related AI solutions.
• Collaboration: working effectively with business users, analysts, engineers, architects, project leadership, and subject matter experts to deliver practical and scalable AI capabilities.

Qualifications

Education

• Minimum: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, Information Systems, or related technical discipline.

Work Experience:

o  Mid-level experience in AI Data Engineering, machine learning engineering, data science engineering, software

engineering, or a similar technical role.

o  Experience developing and deploying AI/ML solutions using Python and SQL in enterprise or cloud-based environments.

o  Experience with machine learning techniques for forecasting, prediction, classification, anomaly detection, or optimization.

o  Experience designing and implementing modern applied AI solutions such as AI agents, chatbot / conversational AI applications, document intelligence, or other NLP- and LLM-enabled workflows.

o  Knowledge of data acquisition and integration using APIs, REST/JSON, relational and non-relational data sources, and unstructured document/content inputs.

o  Experience with model evaluation, testing, prompt / workflow iteration, monitoring, and continuous improvement of AI solutions in production environments.

o  Working knowledge of software engineering best practices including version control, CI/CD, reusable code design, and secure deployment practices.

o  Experience working with cloud platforms, data platforms, and AI/ML services; familiarity with healthcare data, privacy, security, and governance requirements is preferred.

Licenses and Certifications:

• • Preferred: Professional certifications in cloud platforms, AI/ML technologies, data platforms, or related technical domains.

Key Competencies

• • Mid-level experience delivering AI and machine learning solutions in enterprise environments using structured and unstructured data.
  • Mid-level knowledge of Python, SQL, model development workflows, and cloud-based AI/ML or data platforms.
  • Experience applying AI/ML techniques for forecasting, prediction, anomaly detection, classification, or optimization to support business and operational use cases.
  • Experience designing or supporting modern applied AI capabilities such as AI agents, chatbot / conversational AI solutions, document intelligence, and other NLP- or LLM-enabled workflows.
  • Analytical problem-solving: seeking, logically examining, and interpreting information from different sources to identify root causes, evaluate solution options, and improve outcomes.
  • Adaptability/flexibility: demonstrating flexibility with respect to changing business priorities, emerging technologies, evolving requirements, and iterative AI solution development.
  • Dependability: taking ownership of work activities and ensuring that deliverables are completed accurately, efficiently, securely, and on time in a fast-paced environment.
  • Initiative: recognizing assignments or opportunities that need to be addressed, proactively improving solutions, and contributing to continuous learning and innovation.
  • Interpersonal and communication skills: communicating technical concepts, solution tradeoffs, and results clearly and concisely to technical and non-technical stakeholders.
  • Learning agility: ability and willingness to learn new software, platforms, AI frameworks, and evolving industry best practices.
  • Responsible AI and governance mindset: understanding the importance of privacy, security, data stewardship, model quality, and appropriate human oversight in healthcare-related AI solutions.
• Collaboration: working effectively with business users, analysts, engineers, architects, project leadership, and subject matter experts to deliver practical and scalable AI capabilities.

Other Duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Benefits and Perks :

At RWJBarnabas Health, our market-competitive Total Rewards package provides comprehensive benefits and resources to support our employees’ physical, emotional, social, and financial health.

• Paid Time Off (PTO)
• Medical and Prescription Drug Insurance
• Dental and Vision Insurance
• Retirement Plans
• Short & Long Term Disability
• Life & Accidental Death Insurance
• Tuition Reimbursement
• Health Care/Dependent Care Flexible Spending Accounts
• Wellness Programs
• Voluntary Benefits (e.g., Pet Insurance)
• Discounts Through our Partners such as NJ Devils, NJ PAC, Verizon, and more!

Choosing RWJBarnabas Health!

RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time.  As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. 

RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education.

Equal Opportunity Employer

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RWJBarnabas Health is an Equal Opportunity Employer