Job Description:
The Sr. Staff Engineer, AI will lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains. This role will own complex initiatives end-to-end—setting technical direction, establishing quality and safety bars, and mentoring engineers—while ensuring solutions are compliant, reliable, and cost-efficient at scale. The Engineer will collaborate with cross-functional teams—including product managers, data engineers, and clinical experts—to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust.
Architect, engineer, and deploy multi-agent ecosystems (MCP/A2A/ACP) with clear boundaries, contracts, and observability—covering planning, tool-use, retrieval, and safety rails.
Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management.
Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures.
Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks.
Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities.
Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers.
Perform other duties that support the overall objective of the position.
Education Required:
Bachelor’s degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Or, any combination of education and experience which would provide the required qualifications for the position.
Experience Required:
8-12 years as a Data Scientist/AI Engineer with experience leading complex, cross-team projects to production.
Deep expertise with Python and ML frameworks (PyTorch/TensorFlow) and agentic stacks (LangChain/LangGraph) with proven experience implementing RAG at scale and fine-tuning models.
Demonstrated experience in safety, reliability, and cost governance for GenAI systems.
Knowledge, Skills & Abilities:
Knowledge of: Generative AI frameworks and architectures (Transformers, LLMs, diffusion models). Machine learning frameworks (PyTorch, TensorFlow, Scikit-learn). Healthcare data formats, privacy requirements (HIPAA), and integration challenges. Voice recognition and transcription technologies (preferred).
Skill in: Programming in Python (preferred) or similar languages. Designing modular, scalable AI agent architectures. Prompt engineering, retrieval-augmented generation (RAG), and model context optimization. Problem-solving and analytical thinking.
Ability to: Rapidly prototype and iterate on AI agent designs. Collaborate effectively across technical and clinical teams. Adapt in a fast-paced, mission-driven environment. Communicate technical concepts to non-technical stakeholders.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate.
NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.