• Administer and maintain all major business platforms • Drive the delivery and adoption of Aquifer's AI agenda • Provide onboarding, training, and ongoing support to internal business end users

• Read and review both the input and output texts in their entirety, paying close attention to any differences • Determine whether the task should be rejected based on issues such as loading errors, language mismatch, or inappropriate content • Assess the output for accuracy and consistency, ensuring the meaning and key information are preserved • Identify and document any issues by referencing specific text and explaining discrepancies between input and output • Suggest minimal corrections, when possible, to improve the output while maintaining the original intent.

Senior AI-Enabled Software Engineer in Test eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you’re excited about building sophisticated software that makes a real-world impact in healthcare, this is the place to do it. You will make an impact: As a Senior AI-Enabled Software Engineer in Test, you will play a critical role in modernizing and scaling our quality engineering practices and shaping the quality and reliability of elluminate, our flagship SaaS Clinical Data Intelligence Platform. You will lead the evolution of our test automation strategy, from framework design through CI/CD integration, making automation a driver of engineering velocity rather than a bottleneck. Your work will enable the shift from large, infrequent releases to continuous delivery with improved quality and production stability. You will also leverage AI and agentic capabilities to reduce manual testing, accelerate test creation, expand coverage, identify gaps, and increase release confidence. This position combines traditional automated testing with modern AI-driven observability and predictive capacity modeling, ensuring validated, audit-ready systems that comply with GxP, 21 CFR Part 11, and industry regulatory requirements. The role works cross-functionally with Engineering, DevOps, Data Management, and Quality teams. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: - Design, build, and maintain scalable automated test frameworks covering UI, API, integration, and performance layers across AWS-based .NET services - Expand and refactor the existing automated test suite to increase coverage, reliability, and execution speed - Leverage AI and agentic AI tools to generate, enhance, and maintain automated tests, systematically reducing manual regression testing - Integrate automated tests into CI/CD pipelines to enforce quality gates and support rapid, high-confidence releases - Analyze test results, investigate failures, and partner with engineers to diagnose and resolve defects across distributed systems - Collaborate closely with developers and DevOps engineers to ensure new features are designed with testability, observability, and automation in mind - Continuously improve test data management, environment configuration, and reproducibility of test runs - Identify automation gaps and propose improvements that increase release cadence and reduce risk - Actively participate in architectural discussions, sprint planning, backlog grooming, and milestone reviews; partner with Engineering Leads to define scope, technical approach, deliverables, and quality criteria for upcoming releases - Contribute to documentation, standards, and best practices that elevate quality engineering across the organization - Ensure audit readiness by maintaining complete, traceable documentation in alignment with SOPs and Quality Management System (QMS) - Collaborate with DevOps and Cloud teams to optimize infrastructure scalability, reliability, and performance within compliance constraints - Support defect triage, root cause analysis, CAPA processes, and continuous improvement initiatives - Other duties as assigned Take the first step towards your dream career. Here is what we are looking for in this role. Qualifications: - Bachelor’s Degree in Computer Science, Engineering, Data Science, or related discipline, or equivalent work experience preferred - 10+ years of hands-on experience in enterprise software engineering and test automation (SDET), including at least 6 years designing and scaling automated test frameworks preferred - Proven experience driving automation strategy and expanding adoption of automated testing across engineering teams - Strong experience implementing automation across all layers: database validation (SQL), API/integration (REST, HTTP), and end-to-end UI testing - Hands-on expertise with C#/.NET platform, Selenium and Playwright, TypeScript/JavaScript, HTML, and CSS - Experience with Implementing AI-enabled monitoring and anomaly detection to proactively identify system degradation or performance drift - Deep understanding of distributed systems, microservices architecture, and service-to-service communication - Experience integrating automated tests into CI/CD pipelines and implementing quality gates - Hands-on experience with containerization (Docker) and Kubernetes-based test execution environments - Ensure audit readiness by maintaining complete, traceable documentation in alignment with SOPs and Quality Management System (QMS) - Experience designing and executing performance/load testing strategies - Strong collaboration skills; experience partnering with Development Leads and Product teams in planning, grooming, and milestone definition - Demonstrated ability to influence engineering standards, mentor SDETs, and drive quality engineering best practices - Experience with generating and maintaining performance validation documentation including test plans, test cases, traceability matrices, summary reports, and deviation documentation - Programming/Scripting: Python, SQL, PowerShell, .Net - Databases: SQL Server and large-scale data platforms - Cloud Platforms: AWS - Containerization & Orchestration: Docker, Kubernetes (preferred) - Observability & Monitoring: Application Insights, Datadog, NewRelic - Experience with CI/CD tools in validated environments (TeamCity, Octopus Deploy, Git-based workflows) Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/ eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here! We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need. #LI-AB1 Pay Range US Pay Ranges $132,000—$165,000 USD

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem-solver who thrives in complex, fast-paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission-critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: - Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders. - Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. - Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. - Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. - Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing. - Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. - Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: - Solution-Ready Build Delivered: You deliver a validated AI solution-ready build within 8-12 weeks that directly addresses a business-critical problem. - Widespread Reuse: Your assets-from prompts to orchestration logic-are leveraged by other teams and codified for scale. - Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. - Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. - Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. - Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications What You Bring: - Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - Enterprise Experience: 15+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. - Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows. - Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns. - Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code-level decisions. - Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. - Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. - Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: - Prior work delivering AI or intelligent workflow solutions at scale. - Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. - Experience with SaaS platforms, enterprise data integration, and low-code environments. - History of converting field delivery into reusable product patterns. - Proven success in deploying AI solutions that delivered tangible customer impact. - Hands-on experience integrating AI into enterprise SaaS platforms. - Skill translating real-world constraints into reusable internal tools or product enhancements. - Familiarity with AI governance, compliance, and enterprise security practices. This is your opportunity to architect real-world AI, partner with the world's leading enterprises, and turn every solution into a smarter Now Platform. For positions in this location, we offer a base pay of $236,000 - $413,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.