PAM Health Corp Business Office is seeking an AI Engineer to help design, build, and deploy AI-driven automation solutions across the organization. This onsite role in Plano, TX supports business stakeholders in optimizing workflows and improving efficiency, while building secure, HIPAA-compliant tools that can enhance patient care.
What you’ll do
- Design, develop, and maintain AI agents and automation workflows using Python to streamline processes across clinical, financial, HR, and administrative departments
- Build scalable AI applications with modern agent development SDKs and frameworks, including LangChain, Pydantic AI, Google ADK, and the OpenAI Agents SDK
- Integrate AI solutions with existing enterprise applications and Electronic Health Record (EHR) systems to enable secure, efficient data exchange
- Deploy, host, and manage AI models and applications in cloud infrastructure
- Maintain delivery speed and code quality by leveraging AI coding assistants such as Claude Code, Cursor, and Antigravity
- Ensure all AI tools and automated workflows meet healthcare compliance standards, maintaining data privacy, security, and HIPAA compliance when handling Protected Health Information (PHI)
- Partner with non-technical stakeholders to gather requirements, scope automation initiatives, and translate business problems into actionable AI solutions
- Monitor, test, and evaluate emerging AI technologies, models, and industry best practices
Team and leadership expectations
- Promote cooperation, fairness, equity, respect for people and differences, and empathy within the team
- Coach, evaluate, develop, and inspire staff; set expectations and recognize achievements
- Demonstrate accountability and sound judgment in managing company resources, confidentiality, and alignment with company policies, procedures, and safety guidelines
- Identify problems, involve others in solution finding, analyze options, and implement effective responses to correct issues
- Communicate clearly and effectively, listen actively, and share information through strong oral and written communication
- Strive for high-quality performance, timely results, resilience in challenging situations, and continuous improvement
- Maintain customer service standards through courtesy, compassion, and positive communication
- Promote the mission and vision of PAM Health; respect dignity and confidentiality
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field, or equivalent practical/professional experience
- Proven software engineering experience (level commensurate with Junior to Senior expectations), with a primary focus on Python
- Hands-on experience building, testing, and deploying AI-driven applications, LLMs, or autonomous agents
- Strong proficiency in Python and its broader data/AI ecosystem
- Familiarity with agent development SDKs such as LangChain, Pydantic AI, Google ADK, and OpenAI Agents SDK
- High proficiency with modern AI coding assistants including Claude Code, Cursor, and Antigravity
- Solid understanding of Retrieval-Augmented Generation (RAG) fundamentals, including embeddings, vector stores, and 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 function as a technical generalist across varied business domains
- Strong communication skills to explain complex AI concepts clearly to non-technical stakeholders
Technologies
- Python, LangChain, Pydantic AI, Google ADK, OpenAI Agents SDK
- Claude Code, Cursor, Antigravity
- LLMs, Retrieval-Augmented Generation (RAG), embeddings, vector stores, multi-modal data processing
- RESTful API, Electronic Health Record (EHR)
- HIPAA, Protected Health Information (PHI)
- Microsoft Azure, Google Cloud Platform (GCP)
Preferred
- Familiarity with the healthcare industry, especially the post-acute care sector
- Experience integrating with, or extracting data from, EHR systems
- Experience deploying AI and software solutions in secure, HIPAA-compliant environments handling sensitive data
- Experience with cloud computing platforms, specifically Microsoft Azure and/or Google Cloud Platform (GCP)
Additional compliance and safety expectations: participate in OSHA required training, follow universal precautions as appropriate, comply with Employee Health requirements for continued employment, report unsafe practices to management, and know own role in case of an emergency.