Principal AI Engineer at Surescripts | JobProMax | JobProMax
Principal AI Engineer
Surescripts
Gunnison, Colorado
Full-Time
$187,500 - $229,100
RemoteSenior
Job Description
Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
Job Summary:
The Principal AI Engineer is the most senior individual contributor and technical lead for Surescripts' AI solutions. The role owns the how, the execution, and the by-when for AI initiatives across the enterprise, pairing deep hands-on engineering with the architecture and business judgment to act as a trusted technical partner to product management, engineering, design, and business stakeholders.
The Principal AI Engineer is accountable for technical feasibility, business alignment, and responsible AI practice across Surescripts' platforms. This person designs and delivers AI solutions for both customer-facing products and the internal operations that support Surescripts team members, helping product teams deliver AI that is scalable, reliable, and something they can stand behind.
Responsibilities:
Own the technical how and the delivery timeline for AI initiatives, acting as both AI solution architect and principal engineer.
Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production.
Serve as a trusted technical partner across groups and projects, providing solution architecture and weighing options on 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 that line up with business outcomes.
Lead the technical evaluation of new AI technologies and vendors, judging architectural fit, capability, and integration approach.
Prototype and validate advanced AI approaches to prove out architectural direction and de-risk initiatives 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 AI engineering standards, including model integration, data architecture, LLMOps, AgentOps, and AI development best practices from frameworks such as NIST RMF, CHAI, OWASP, etc.
Serve as a lead mentor regarding enterprise AI Trust & Safety best practices from: auto-inherited controls and guardrails based on AI solution type and risk level, to automated evals and testing in CI/CD, to operational monitoring and drift detection, to issue and incident response, to rel="noopener noreferrer">Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
Physical and Mental Requirements
While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.
Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.
Required Skills
Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent experience8+ years of related, progressive software, data, or AI/ML engineering experience4+ years in a lead and/or senior engineering role with a focus on leading and mentoring engineers to deliver software products3+ years of hands-on machine learning / AI engineering experienceProven experience architecting and delivering solutions across multiple technical domains, such as APIs and microservices, systems integration and event-driven architectures, AI/ML engineering, data engineering and analytics, and core software engineering (cloud-native applications, distributed systems)3+ years developing and implementing AI solutions in a healthcare settingExperience designing production AI/ML applications using big-data technologies, cloud platforms (AWS, Azure, GCP), and data pipeline orchestrationExperience working in the SVPG framework or a substantially similar outcomes-driven product operating model
Responsibilities
Own the technical how and the delivery timeline for AI initiatives, acting as both AI solution architect and principal engineer.
Architect and build scalable, interoperable, responsible AI solutions, including generative AI, RAG, agentic AI, and predictive models, and guide their deployment into production.
Serve as a trusted technical partner across groups and projects, providing solution architecture and weighing options on 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 that line up with business outcomes.
Lead the technical evaluation of new AI technologies and vendors, judging architectural fit, capability, and integration approach.
Prototype and validate advanced AI approaches to prove out architectural direction and de-risk initiatives 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 AI engineering standards, including model integration, data architecture, LLMOps, AgentOps, and AI development best practices from frameworks such as NIST RMF, CHAI, OWASP, etc.
Serve as a lead mentor regarding enterprise AI Trust & Safety best practices from: auto-inherited controls and guardrails based on AI solution type and risk level, to automated evals and testing in CI/CD, to operational monitoring and drift detection, to issue and incident response, to data-driven continuous improvement of AI solutions. Ensure the necessary technical components are designed-in and operationally effective to meet anti-bias, accuracy, transparency, explainability, safety, and regulatory compliance.
Mentor engineers and raise the technical bar, building a team culture of collaboration and steady learning.
Keep current with new AI technologies and frameworks and turn trends into practical strategies for the teams you support.
Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent experience
8+ years of related, progressive software, data, or AI/ML engineering experience
4+ years in a lead and/or senior engineering role with a focus on leading and mentoring engineers to deliver software products
3+ years of hands-on machine learning / AI engineering experience
Proven experience architecting and delivering solutions across multiple technical domains, such as APIs and microservices, systems integration and event-driven architectures, AI/ML engineering, data engineering and analytics, and core software engineering (cloud-native applications, distributed systems)
3+ years developing and implementing AI solutions in a healthcare setting
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Job Details
Job Type
Full-Time
Workplace Type
Remote
Experience Level
Senior
Salary
$187,500 - $229,100
Categories
Data and Analytics
Experience designing production AI/ML applications using big-data technologies, cloud platforms (AWS, Azure, GCP), and data pipeline orchestration
Experience working in the SVPG framework or a substantially similar outcomes-driven product operating model