Note: The job is a remote job and is open to candidates in USA. Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. 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.
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
Skills
- 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
- 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
Benefits
- Comprehensive healthcare (including infertility coverage)
- Generous paid time off including paid childbirth and parental leave and mental health days
- Pet insurance
- 401(k) with company match and immediate vesting
- Flexible Hybrid Work model for most positions
- Opportunities for employee development
- Competitive compensation packages
Company Overview