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# Senior AI Engineer

- **Company:** Surescripts, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $158,300.0 - $193,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Desktop Computing, Machine Learning, Systems Integration, Spring Cloud, Information Technology, Machine Learning Operations, Data Pipelines, Microservices
- **Published:** July 8, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17504611?backUrl=%2Fcareer%2F17504611%2FSenior-Ai-Engineer-Minnesota-Minneapolis

## About the Role

* Bachelor's degree in Engineering, Computer Science, or a related field, or equivalent experience
 * 5+ years of related, progressive software, data, or AI/ML engineering experience
 * 2+ years of hands-on machine learning / AI engineering experience
 * Experience delivering production solutions across areas such as APIs and microservices, systems integration, data engineering, and cloud-native applications

Preferred Qualifications:

 * Experience developing and implementing AI solutions in a healthcare setting
 * Proficiency with cloud platforms (AWS, Azure, or GCP) and data pipeline orchestration
 * Experience working in the SVPG framework or a substantially similar outcomes-driven product operating model

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM., 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.

## Description

The Senior AI Engineer is a hands-on engineer who designs, builds, and ships AI and machine learning capabilities across Surescripts' platforms, applications, and systems. Working with product management, engineering, and design, this role turns business and customer needs into production-ready AI solutions that are valuable, usable, viable, and feasible.

The Senior AI Engineer owns the how and the by-when for the AI capabilities they build: prototyping new ideas, integrating AI into products, and making sure what ships meets performance, reliability, and responsible-AI standards. The role executes against a defined plan and handles the ambiguity that comes up along the way. Over time it contributes more broadly, explaining technical choices to non-technical partners and sharing reusable patterns with other engineers.
Responsibilities:

 * Design, build, test, and deploy AI capabilities, including predictive models, generative AI, retrieval augmented generation (RAG), and agentic AI, into production solutions.
 * Translate the needs of their work into technical requirements and explain technical concepts back to non-technical partners.
 * Work with product management, engineering, and design to fit AI capabilities into solutions that are valuable, usable, and feasible.
 * Prototype and validate new AI capabilities to speed up delivery and lower technical risk.
 * Build and maintain the data pipelines, model integration, LLMOps, and AgentOps practices that keep deployments reliable across their lifecycle.
 * Help champion AI Trust & Safety best practices across all Product & Engineering teams: 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. For assigned products, ensure the necessary technical components are designed-in and operationally effective to meet anti-bias, accuracy, transparency, explainability, safety, and regulatory compliance.
 * Take part in architecture and design reviews, surfacing trade-offs and helping the team make sound technical decisions.
 * Contribute reusable patterns and components, and review other engineers' work when asked, so the broader team applies AI well.
 * Keep current with new AI technologies and frameworks and bring practical recommendations back to the team.


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