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Surescripts

Secure health data exchange for prescriptions

Principal AI Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in USA$187.5k - $229.1k /yr

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, or a related field, or equivalent experience.
  • At least 8 years of related, progressive software, data, or artificial intelligence/machine learning engineering experience.
  • At least 4 years in a lead and/or senior engineering role focused on leading and mentoring engineers to deliver software products.
  • At least 3 years of hands-on machine learning or artificial intelligence engineering experience.
  • Proven experience architecting and delivering solutions across multiple technical domains, such as application programming interfaces and microservices, systems integration and event-driven architectures, artificial intelligence/machine learning engineering, data engineering and analytics, and core software engineering, including cloud-native applications and distributed systems.
  • Valid U.S. work authorization allowing work without restrictions; immigration or work-visa sponsorship is unavailable, and the company does not participate in academic training or work-study programs requiring employer endorsement of F-1/CPT or F-1/STEM.

Responsibilities

  • Own the technical approach and delivery timeline for artificial intelligence initiatives, acting as both artificial intelligence solution architect and principal engineer.
  • Architect and build scalable, interoperable, responsible artificial intelligence solutions, including generative artificial intelligence, retrieval-augmented generation, agentic artificial intelligence, and predictive models, and guide their deployment into production.
  • Serve as a trusted technical partner across groups and projects, providing solution architecture and evaluating technical feasibility, effort, and performance targets.
  • Translate business and customer needs into technical requirements, and frame technical options and trade-offs so leaders and stakeholders can make informed decisions aligned with business outcomes.
  • Lead technical evaluation of new artificial intelligence technologies and vendors, assessing architectural fit, capability, and integration approach.
  • Prototype and validate advanced artificial intelligence approaches to establish architectural direction and reduce risk before teams commit to them.
  • Run architecture and design reviews across teams, surfacing key trade-offs and keeping decisions transparent and sound.
  • Set and evolve artificial intelligence engineering standards, including model integration, data architecture, large language model operations, agent operations, and development best practices informed by frameworks such as the National Institute of Standards and Technology Risk Management Framework, CHAI, and OWASP.
  • Mentor engineers and raise the technical bar, building a team culture of collaboration and continuous learning.
  • Stay current with new artificial intelligence technologies and frameworks and turn trends into practical strategies for supported teams.
  • Serve as a lead mentor on enterprise artificial intelligence trust and safety practices, including inherited controls and guardrails based on solution type and risk level; automated evaluations and testing in continuous integration/continuous deployment; operational monitoring and drift detection; issue and incident response; and data-driven continuous improvement. Ensure technical components are designed and operationally effective to meet anti-bias, accuracy, transparency, explainability, safety, and regulatory-compliance needs.

Desired Qualifications

  • At least 3 years developing and implementing artificial intelligence solutions in a healthcare setting.
  • Experience designing production artificial intelligence/machine learning applications using big-data technologies, cloud platforms such as AWS, Azure, or Google Cloud Platform, and data-pipeline orchestration.
  • Experience working in the SVPG framework or a substantially similar outcomes-driven product operating model.

About the Company

Surescripts

Secure health data exchange for prescriptions

Surescripts runs a nationwide health information network that connects payers, prescribers, pharmacies, and other healthcare organizations to securely exchange prescription data and related clinical information. The platform automates and standardizes the electronic transmission of prescriptions and supports at-the-point-care services such as Real-Time Prescription Benefit, Medication History, and Electronic Prior Authorization, handling billions of exchanges among providers. It stands out because its network spans nearly all EHR vendors, PBMs, pharmacies, and health plans, and is owned by pharmacy associations and major PBMs, ensuring broad interoperability and adherence to industry standards like NCPDP SCRIPT. The goal is to improve patient safety, reduce costs, and raise the quality of care by making prescription information fast, accurate, and available at the point of care.

Company size
501-1,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Arlington County, VA
Founded
2001

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