Sr. AI Engineer at Privia Health

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

175000.0

Posted On

19 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Large Language Models, Prompt Engineering, RAG, Agentic Frameworks, Python, PySpark, T-SQL, MLOps, GCP, Snowflake, Docker, CI/CD, GitLab, REST APIs, Responsible AI

Industry

Hospitals and Health Care

Description

Company Description Privia Health™ is a technology-driven, national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices, improve patient experiences, and reward doctors for delivering high-value care in both in-person and virtual settings. The Privia Platform is led by top industry talent and exceptional physician leadership, and consists of scalable operations and end-to-end, cloud-based technology that reduces unnecessary healthcare costs, achieves better outcomes, and improves the health of patients and the well-being of providers. Job Description 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 Qualifications 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 Additional Information All your information will be kept confidential according to EEO guidelines. The salary range for this role is $150,000.00 to $175,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). This role is also eligible for an annual bonus targeted at 15% . The base pay offered will be determined based on relevant factors such as experience, education, and geographic location Technical Requirements (for remote workers only, not applicable for onsite/in office work): In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/. This gives you an update as to how fast data transfer is with your internet connection and if it meets the minimum speed requirements. Work with your internet provider if you have questions about your connection. Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost. Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law. Department: Product Engineering

Responsibilities

Design and deploy Generative AI solutions and LLM-based architectures to automate complex workflows in contract management and healthcare operations. Implement end-to-end data pipelines and ensure the secure, responsible deployment of AI models using MLOps best practices.