AI Engineer

Requirements

• Education
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field; equivalent work experience considered.
• Minimum 3-6 years of experience in AI/ML engineering or applied data science, with at least 1-2 years focused on Generative AI development.
• Minimum 6 years of experience required in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required. 8-10 years preferred.
• Minimum 3 years of experience required in cloud solution design blueprinting towards delivery of robust enterprise-grade solutions.
• Strong proficiency in SQL and data analysis required.
• Demonstrated experience building and deploying LLM-powered applications in a production environment.
• Experience working with healthcare data (EHR, FHIR, HL7) and regulated data environments strongly preferred.
• Experience in an Agile/Scrum software development environment.
• Required Technical Skills
• Proficiency in Python and frameworks including Databricks, LangChain, LlamaIndex, FastAPI, and Flask.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, Mistral) and embedding-based retrieval systems.
• Familiarity with vector databases such as Pinecone, FAISS, Chroma, and Weaviate.
• Knowledge of prompt engineering, RAG architecture design, model evaluation, and fine-tuning techniques.
• Cloud experience with Azure Cloud, Databricks Data Intelligence Platform, and the Azure Generative AI Stack.
• Proficiency in data pipelines, ETL processes, and API integration patterns.
• Preferred Technical Skills
• Experience with healthcare data standards (FHIR, HL7, EHR integration).
• Understanding of HIPAA compliance and PHI security best practices.
• Experience with MLOps tooling including MLflow, Kubeflow, and Airflow.
• Familiarity with model evaluation frameworks and prompt testing methodologies.
• Experience with Microsoft 365, Azure Active Directory, and enterprise security p

Benefits

Additional Information

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description: Applicants must be authorized to work in the United States without the need for current or future visa sponsorship. Position Summary The AI Engineer III is a senior-level engineering role responsible for designing, building, and deploying enterprise AI solutions that enhance clinical, operational, and administrative workflows across Alpine Physician Partners. This individual will lead development of Generative AI applications-including LLM-powered chatbots, copilots, RAG pipelines, and automation assistants-integrated with Alpine's cloud infrastructure (Azure, Databricks) and healthcare data assets (EHR, FHIR, HL7). The AI Engineer III will contribute to Alpine's Enterprise AI Tech Foundation, ensuring solutions meet HIPAA, PHI, and data governance standards. Essential Functions AI Solution Development Design, implement, and fine-tune Generative AI applications including LLMs, RAG pipelines, and prompt engineering solutions for clinical and operational use cases. Build and maintain LLM-integrated microservices using frameworks such as LangChain, LlamaIndex, and OpenAI SDKs. Develop retrieval-augmented generation (RAG) architectures leveraging internal knowledge bases, EHR data, and structured clinical documents. Implement chatbots, copilots, and automation assistants for internal operations and clinical support. Evaluate and select foundation models (OpenAI, Anthropic, Azure OpenAI, Mistral) appropriate to use-case requirements. System Integration & Deployment Integrate AI solutions into enterprise systems using REST APIs, Azure services, and Databricks Data Intelligence Platform. Deploy scalable, production-grade AI services on Azure Cloud and Databricks Generative AI Stack. Build and maintain data pipelines supporting AI model ingestion, evaluation, and fine-tuning workflows. Partner with IT and business stakeholders to ensure all solutions comply with HIPAA, PHI, and Alpine data governance standards. Technical Leadership & Collaboration Serve as a subject matter expert for Generative AI, guiding team members on architecture decisions, best practices, and emerging LLM capabilities. Collaborate cross-functionally with clinicians, operations leaders, data teams, and product owners to translate business needs into AI-powered solutions. Conduct code reviews and establish coding standards for AI/ML development work. Contribute to the design and continuous improvement of Alpine's Enterprise AI Tech Foundation. Stay current with foundation model capabilities, open-source frameworks, and healthcare AI regulations. Participate in Agile/Scrum ceremonies including sprint planning, standups, and retrospectives. Adhere to Alpine's Compliance Program and all applicable federal and state laws and regulations. Other duties as assigned.

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