The AI Engineer is responsible for designing, developing, and deploying AI-driven automation solutions across PAM Health. Acting as a crucial technical contributor, this individual will partner with business stakeholders across the organization to identify workflows that can be optimized. Leveraging large language models (LLMs) and agentic frameworks, the AI Engineer will build tools that enhance organizational efficiency and support patient care. This role spans a broad range of experience levels (Junior to Senior, with expectations scaling accordingly) and requires a strong commitment to deploying technology within a secure, HIPAA-compliant healthcare environment.

I. Position Responsibilities

· AI Development & Automation: Design, build, and maintain AI agents and automation workflows using Python to streamline processes across clinical, financial, HR, and administrative departments

· Framework Utilization: Leverage modern agent development SDKs and frameworks (such as LangChain, Pydantic AI, Google ADK, or the OpenAI Agents SDK) to build robust, scalable AI applications

· System Integration: Integrate AI solutions with existing enterprise applications and Electronic Health Record (EHR) systems, facilitating secure and efficient data exchange

· Cloud Deployment: Deploy, host, and manage AI models and applications within cloud infrastructure

· AI-Assisted Engineering: Accelerate development timelines and maintain high code quality by actively utilizing AI coding assistants (e.g., Claude Code, Cursor, or Antigravity)

· Security & Compliance: Ensure all AI tools and automated workflows adhere to strict healthcare compliance standards, maintaining data privacy, security, and HIPAA compliance when handling Protected Health Information (PHI)

· Cross-Functional Collaboration: Partner with non-technical stakeholders across the organization to gather requirements, scope automation projects, and translate business challenges into actionable AI solutions

· Continuous Innovation: Actively monitor, test, and evaluate emerging AI technologies, models, and industry best practices

II. Leadership

· Inclusiveness: Promotes cooperation, fairness and equity; shows respect for people and their differences; works to understand perspectives of others; demonstrates empathy; brings out the best in others and in his/her team

· Managing Staff: Coaches, evaluates, develops, and inspires staff; sets expectations; recognizes achievements

· Stewardship and Resource Management: Demonstrates accountability and sound judgment in managing company resources; appropriate understanding of confidentiality and company values; adheres to and supports company policies, procedures and safety guidelines

· Problem-Solving: Identifies problems and involves others in seeking solutions; conducts appropriate analysis and searches for best solutions; effectively and efficiently implements appropriate responses to correct problems; responds promptly and effectively to new challenges

· Decision-Making: Makes clear, consistent decisions; acts with integrity in all decisions; distinguishes relevant from irrelevant information; makes timely, appropriate decisions.

· Strategic Planning and Organizing: Understands company vision and aligns priorities accordingly; measures outcomes; uses feedback to redirect as required; evaluates alternatives; appropriately organizes complex issues to desirable resolution

· Communication: Connects with peers, subordinate employees and all customers; actively listens; clearly and effectively shares information; demonstrates effective oral and written communication skills; negotiates effectively.

· Quality Improvement: Strives for efficient, effective, high-quality performance in self and in the department; delivers timely and accurate results; resilient when responding to matters that are challenging; takes initiative to make improvements

· Leadership: Motivates others; accepts responsibility; maintains high morale in department; develops trust and credibility; expects honest and ethical behavior of self and staff

· Teamwork: Encourages cooperation and collaboration; builds effective teams; works in partnership with others; is flexible; responsive to the needs of others

· Development: Maintains up-to-date skills through involvement with professional organizations and/or continuing education

III. Customer Service

· Maintains the highest level of customer service via courtesy, compassion and positive communication.

· Promotes the mission and vision of PAM Health within the work environment and the community.

· Respects dignity and confidentiality by adherence to all applicable policies and procedures.

IV. Health and Safety

· Works in a manner that promotes safety; wears clothing appropriate to the performance of the job.

· Participates in OSHA required training.

· Follows universal precautions as appropriate for position; complies with Employee Health requirements for continued employment.

· Reports unsafe practices to management.

· Knows own role in case of an emergency

POSITION QUALIFICATIONS:

Education and Training:

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field; OR equivalent practical/professional experience.

Experience:

· Proven software engineering experience (level commensurate with Junior to Senior expectations), with a primary focus on Python development

· Demonstrated hands-on experience building, testing, and deploying AI-driven applications, LLMs, or autonomous aagents

· Preferred: Familiarity with the healthcare industry; especially in the post-acute care sector

· Preferred: Experience integrating with, or extracting data from, Electronic Health Record (EHR) systems

· Preferred: Experience deploying AI and software solutions in secure, HIPAA-compliant environments handling sensitive data

· Preferred: Experience with cloud computing platforms, specifically Microsoft Azure and/or Google Cloud Platform (GCP)

Knowledge, Skills, and Abilities:

· Strong proficiency in Python programming and its broader data/AI ecosystem

· Familiarity with agent development SDKs (e.g., LangChain, Pydantic AI, Google ADK, OpenAI Agents SDK)

· High proficiency with modern AI coding assistants (e.g., Claude Code, Cursor, Antigravity)

· Solid understanding of Retrieval-Augmented Generation (RAG) fundamentals (embeddings, vector stores, multi-modal data processing

· Strong understanding of RESTful API development and third-party system integrations

· Knowledge of data privacy principles, security best practices, and healthcare regulatory requirements (HIPAA)

· Excellent problem-solving skills with the ability to operate as a technical generalist across varied business domains

· Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders clearly and effectively