Sr. AI Engineer

Posted 14 Hours Ago
Hiring Remotely in USA
Remote
150K-175K Annually
Senior level
Healthtech
The Role
Lead design, development, and deployment of generative AI/ML solutions (LLMs, RAG, agentic frameworks) for VBC and RCM. Build scalable pipelines with Python/PySpark/T-SQL, integrate Snowflake and GCP, apply MLOps (MLflow, Docker, CI/CD), ensure LLM security and Responsible AI, and collaborate across teams to deliver measurable automation and production-grade models.
Summary Generated by Built In
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.  

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 4+ years experience in AI/ML techniques such as Prompt Engineering, RAG and Agentic AI
  • 4+ years experience and strong expertise in Python, PySpark, T-SQL or SQL and big-data technologies
  • 1+ years experience with Generative AI frameworks and architectures
  • 1+ years experience with cloud technologies, preferably GCP and cloud-native AI services
  • 1+ years experience with CI/CD pipelines, GitLab and containerization tools (Docker)
  • 1+ years experience with LLM security, prompt engineering and Responsible AI practices
  • Experience working with data warehousing solutions like Snowflake and managing large-scale data pipelines
  • Proven experience collaborating across technical and business teams in a matrix environment
  • Strong communication skills; translate business reporting requirements into technical standards
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The Company
Arlington, VA
0 Employees

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