Senior AI Engineer - Privia Health

Privia is seeking highly skilled and motivated AI/ML engineers to lead innovations in Contract management, VBC and RCM through advanced Generative AI solutions. This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable and responsible AI while collaborating across teams to deliver measurable impact.

Primary Responsibilities:

Design/Develop and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC, RCM datasets

Implement advanced architectures including LLMs (Gemini, Vertex, GPT), Retrieval-Augmented Generation (RAG) and agentic frameworks

Build and Optimize end-to-end pipelines using Python, PySpark or T-SQL

Develop and fine-tune multiple GenAI models for digitization, summarization, prompt engineering and conversational AI

Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker and CI/CD Pipelines

Work with cloud platforms like GCP for scalable deployments

Integrate data warehousing solution like Snowflake and manage large scale data pipelines

Collaborate in agile environment, participate in sprint planning and maintain code repositories in Gitlab

Design, develop and deploy AI-powered solutions to address complex business challenges with emphasis on the responsible use of AI

Apply best practices for LLM security, including output moderation, access control and auditability

Ensure compliance with Responsible AI principles and fairness, transparency and explainability

Deploy and manage GenAI solutions on Google suite; Integrate LLMs with enterprise systems using REST APIs, SDKs and orchestration too

Bachelor's degree in relevant field (Computer science, engineering or related technical field preferred)

4+ years of experience in AI/ML techniques like Prompt Engineering, RAG and Agentic AI

4+ years of experience and strong expertise in Python, Pyspark, T-SQL or SQL and big-data technologies

1+ years of experience with Generative AI frameworks/architecture

1+ years of experience with any one of the cloud technologies, preferably GCP and Cloud native AI services

1+ years of experience with CI/CD pipelines, GitLab and containerization tools

1+ years of experience with LLM security, Prompt Engg and Responsible AI practices

Proven experience of working within technical and business professionals in a matrix management environment, managing multiple priorities and deadlines

Proven clearly demonstrated experience in in problem solving, data management and implementation

Strong communication skills with the ability to translate business reporting requirements into technical quality standards

All your information will be kept confidential according to EEO guidelines.

The salary range for this role