• Design and evolve automation frameworks for public cloud infrastructure deployments at scale. • Enable secure cloud adoption by automating governance, audit, security, and compliance controls. • Use, develop and maintain AI services across AWS Platform (Cloud Native) • Build and maintain infrastructure and application monitoring to detect, prevent, and respond to incidents. • Drive cloud reliability, performance, and cost optimisation through best practices and continuous improvement. • Develop tools and mechanisms that eliminate repetitive operational tasks and improve engineering efficiency. • Review code, assess technical implementations, and provide actionable feedback to improve platform tooling. • Participate in on‑call rotations and serve as an escalation point for cloud service incidents.

• Build and maintain automated evaluation pipelines for AI model quality. • Implement task-specific benchmarks and test suites. • Design quality dashboards tracking accuracy, regression, and safety metrics. • Implement automated regression testing for every model iteration. • Build comparison frameworks for side-by-side evaluation of model variants. • Analyze evaluation results to identify failure modes and report to the ML team. • Maintain evaluation datasets: versioning, quality validation, coverage analysis. • Support A/B testing infrastructure for production model validation.

Ready to join a team that’s all in? At Imprivata, we deliver unified access and security management programs that eliminate friction, empowering healthcare and mission-critical organizations to work smarter, faster, and more securely. We believe work can be more than a job or task—it’s a collective spirit; the type that emboldens creativity, embraces challenge, and fosters excitement. We are constantly raising the bar on what’s possible, owning the outcome of our triumphs and trials, staying nimble amidst change, and cultivating an environment where we win together. Here, your ideas matter, your differences are celebrated, and your work drives real results—for your career, your teammates, and our customers. When you join Imprivata, you embark on a shared journey of ambition and growth. We’re committed to building an inclusive workplace where everyone feels valued and supported. If you’re looking for a place to match your passion with purpose—and where every day you can make an impact—you’ll find it here. We are seeking a Senior Engineering Excellence & AI Enablement Director. This is a hybrid opportunity based out of our Waltham, MA office. Job Summary The Senior Engineering Excellence and AI Enablement Director will leads the systems, workflows, and enablement mechanisms that help Engineering deliver software with greater speed, quality, and predictability. In the near term, the role will focus primarily on scaling the effective use of AI-assisted development tools and practices across Engineering. Additionally, this role is responsible for improving how teams plan, build, test, document, release, and support software, combining workflow design, tooling strategy, adoption, and performance measurement into a cohesive operating model. In the near term, the role will focus primarily on scaling the effective use of AI-assisted development tools and practices across Engineering. Duties and Responsibilities Improve the Engineering Operating Model - Improve workflows across planning, development, code review, testing, documentation, release readiness, and post-release follow-through. - Reduce friction in handoffs, clarify decision rights, and strengthen execution consistency across teams. - Ensure processes are practical, lightweight, and aligned to the needs of software delivery. Coordinate Tooling Strategy and Standardization - Evaluate and standardize the tools that support engineering productivity, code quality, test automation, documentation, and release execution. - Identify high-value opportunities to apply AI to software development, testing, documentation, and engineering support workflows. - Define approved usage patterns, guardrails, and operating standards for new tools in partnership with Platform/DevOps/SRE, Security, and IT. Facilitate Enablement and Adoption - Build training, playbooks, examples, and communities of practice that help teams adopt new tools and workflows effectively. For example: - AI coding assistants in full PDLC (Code Assistance and Agentic Code Generation) - AI automated code review for Architecture, Quality, Security, Maintainability, Performance, etc. - AI test generation for Unit, Component, Integration, System, E2E, and Acceptance testing - AI generated documentation for internal and external stakeholders - AI Agents for escalation, bug squashing, debugging - Set clear expectations for engineering managers and technical leaders. - Track adoption, remove barriers to sustained usage, and reinforce consistent execution across teams. Measure Performance and Champion Continuous Improvement - Establish a clear scorecard for engineering operations, program progress, and productivity. - Provide regular reporting to the eStaff and Engineering leadership on progress, risks, and impact. - Use data to prioritize investments and continuous improvement efforts. Partner Across the Organization - Work closely with Product Management to improve planning and delivery interfaces across R&D. - Partner with Finance on business cases and budgets for productivity initiatives and tooling investments. - Represent Engineering in cross-functional productivity and AI initiatives and ensure Engineering priorities are reflected in broader standards and decisions. - Other duties as assigned and required. Required Qualifications - 10+ years of experience in software engineering, engineering operations, developer productivity, platform engineering, or related leadership roles - Experience improving software delivery systems through process, tooling, and organizational change - Strong understanding of modern engineering practices, including CI/CD, code review, testing, release management, reliability, and developer experience - Track record of leading cross-functional initiatives and driving adoption at scale - Strong communication and influencing skills, with the ability to work effectively across engineering and executive stakeholders Desired Qualifications - Experience introducing AI-assisted development tools or other modern productivity technologies into engineering organizations - Experience in regulated or security-sensitive SaaS environments - Experience building or scaling internal developer platforms, tooling programs, or productivity functions This position offers a total compensation range of $309,000.00 to $352,000.00 (inclusive of base salary and variable compensation, such as bonuses and incentives). In addition, more information about Imprivata’s benefit offerings can be found here. This range represents the high and low end of Imprivata’s compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors, such as a candidate’s location, skills, experience, and qualifications. At Imprivata, we have a top-notch work environment, developmental opportunities, a competitive total rewards package, and the desire to have fun. If you have the skills and qualifications as we have described above, we want to hear from you! Imprivata provides equal employment opportunities, regardless of race, religion, age, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Remote #LI-ML1

• Develop machine learning models related to equipment telemetry • Deploy ML/DL Models into cloud-based access for internal use • Design data pipelines to ingest, clean, and analyze sensor, operational, and service data • Continuously refine models based on real-world equipment performance • Design and build supportive AI tools for the service, operations, and engineering team • Translate engineering formulas, design rules, and constraints into reliable, user-friendly digital tools • Collaborate with engineers to ensure accuracy, usability, and maintainability • Leverage Agentic AI to operationalize the AI project development • Assist the AI/ML team in developing the AI digital twin • Provide knowledge and understanding of ML behaviors relative to AI digital twins • Support additional data and digital tool initiatives as required by the business • Evaluate new opportunities where advanced analytics can improve products, services, or operations • Contribute to long-term data strategy at ThermalWorks • Lead a team of junior developers in additional projects.