Healthcare AI Engineer - AIT

Healthcare AI Engineer - AIT

86442BR

Anesthesia

testing

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Status

Full-Time

Standard Hours per Week

40

Job Category

Administration,

Regular, Temporary, Per Diem

Regular

Pay Range

$93537.60-$149656.00 Annual

Office/Site Location

Boston

Remote Eligibility

Full-Time Remote

Job Posting Description

At Boston Children's Hospital, the quality of our care - and our inclusive hospital working environment - lies in the diversity of our people. With patients from local communities and 160 countries around the world, we're committed to reflecting the spectrum of their cultures, while opening doors of opportunity for our team. Here, different talents pursue common goals. Voices are heard and ideas are shared. Join us, and discover how your unique contributions can change lives. Yours included.

Position Summary

The AI Engineer designs, develops, deploys, and supports AI-driven solutions for anesthesia and perioperative medicine. Working with anesthesiologists, clinicians, researchers, engineers, and IT professionals, this role applies large language models (LLMs), agentic AI, machine learning (ML), and advanced analytics to clinical and operational data.

The position focuses on building predictive, generative, and intelligent AI systems that enhance clinical decision-making, automate documentation, improve perioperative workflows, and support research and operational excellence. Responsibilities include model development, deployment, monitoring, governance, and integration within secure healthcare environments.

Key Responsibilities

• Develop AI solutions using LLMs, NLP, ML, retrieval-augmented generation (RAG), and agentic AI architectures.
• Design and implement predictive and generative models for anesthesia risk assessment, operating room forecasting, perioperative decision support, documentation automation, and complication prediction.
• Build AI agents that interact with clinical data sources, APIs, and knowledge systems to support clinical and operational workflows.
• Integrate and prepare data from EHRs, anesthesia systems, surgical scheduling platforms, and physiologic monitoring systems.
• Develop and maintain production AI workflows, including model training, validation, deployment, monitoring, and lifecycle management using MLOps practices.
• Implement AI governance processes, including performance monitoring, bias detection, drift management, explainability, and regulatory compliance.
• Develop APIs, data pipelines, dashboards, visualizations, and reporting solutions to support clinicians and operational leaders.
• Collaborate with interdisciplinary teams to identify opportunities for AI-driven improvements in patient outcomes, workflow efficiency, and operational performance.
• Support AI research, innovation initiatives, publications, and clinical analytics programs.

Minimum Qualifications

Education

• Master's degree in Computer Science, Engineering, Artificial Intelligence, Biomedical Informatics, or a related field, or equivalent experience.

Experience

• 2-3 years of related experience in AI, machine learning, data science, or healthcare analytics.

Technical Skills

• Strong knowledge of machine learning, deep learning, statistical modeling, and AI solution development.
• Experience with LLMs, generative AI platforms, agentic AI systems, NLP, and RAG architectures.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with SQL, cloud technologies (AWS, Azure, or GCP), APIs, data pipelines, and model deployment.
• Familiarity with MLOps, containerization technologies (Docker, Kubernetes), model monitoring, and lifecycle management.

Healthcare & Clinical Informatics

• Experience working with healthcare data and analytics preferred.
• Familiarity with EHR systems (e.g., Epic), healthcare data standards (FHIR, HL7), and clinical terminology systems (ICD, SNOMED, CPT).
• Understanding of perioperative workflows, anesthesia documentation, and clinical decision support is highly desirable.
• Knowledge of HIPAA-compliant environments, AI governance, model validation, bias detection, fairness, and explainability.

Collaboration & Communication

• Ability to work effectively with clinicians, researchers, engineers, and operational leaders.
• Ability to translate clinical needs into technical solutions and communicate complex findings to technical and non-technical audiences.

Preferred

• Experience designing AI agents and workflow automation solutions.
• Experience generating, evaluating, and validating AI-assisted clinical documentation and summaries

The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting.

Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

Boston Children's Hospital is an Equal Opportunity / Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, sexual orientation, gender identity, protected veteran status or disability.

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