Lead AI Safety and Enablement Engineer at Exact Sciences

Help us change livesAt Exact Sciences were helpingchange how the world prevents detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career an inclusive culture and robust benefits to support your life while youre working to help others.Position OverviewThe Lead AI Safety and Enablement Engineer ensures the safe reliable and scalable use of AI and machine learning across Exact Sciences. This role focuses on developing and implementing systems tools and frameworks that embed responsible AI principles into the organizations technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management compliance and observability.Essential DutiesInclude but are not limited to the following:Support implementation of enterprise standards for AI safety transparency and reliability.Develop and maintain shared AI safety tools such as model catalogs metadata registries and monitoring systems for bias drift and performance.Build APIs templates and SDKs that integrate governance and validation into AI/ML development pipelines.Contribute to the design of observability and telemetry solutions for continuous monitoring of model and data quality.Collaborate with Legal Privacy Compliance and InfoSec teams to translate AI policies into automated controls and technical safeguards.Work with ML and GenAI teams to embed validation and safety checkpoints in AI workflows.Participate in cross-functional reviews and discussions supporting AI governance and responsible AI practices.Promote awareness and adoption of responsible AI principles through tools documentation and knowledge sharing.Support and comply with the companys Quality Management System policies and procedures.Uphold company mission and values through accountability innovation integrity quality and teamwork.Maintain regular and reliable attendance.Ability to act with an inclusion mindset and model these behaviors for the organization.Minimum QualificationsBachelors degree in Computer Science Software Engineering Artificial Intelligence or a related field.8 years of experience in software ML systems or platform engineering.Practical experience with AI lifecycle tools (e.g. MLflow Arize WhyLabs Label Studio).Proficiency in Python CI/CD processes and cloud platforms (AWS Azure or GCP).Experience developing scalable and compliant ML systems and tools.Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.Preferred QualificationsMasters degree in Computer Science Data Engineering or AI.Experience implementing AI assurance observability or risk management frameworks.Knowledge of GenAI LLM evaluation and prompt safety practices.Familiarity with FDA HIPAA or GxP compliance standards.#LI-CB1Salary Range:$147000.00 - $250000.00The annual base salary shown is for this position located in US - WI - Madison on a full-time addition this position is bonus eligible.Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation holidays volunteering and personal time) paid leave for parents and caregivers a retirement savings plan wellness support and health benefits including medical prescription drug dental and vision coverage. Learn more about our benefits.Our success relies on the experiences and perspectives of a diverse team and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation please contact us here.Not ready to apply Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability protected veteran status and any other status protected by applicable local state or federal law.To view the Right to Work E-Verify Employer and Pay Transparency notices and Federal Federal Contractor and State employment law posters visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know. Key Skills ADAS,System Design,Distributed Control Systems,Technical Writing,Systems Engineering,Requirements Management,OSHA,Sensors,Signal Processing,Microsoft Project,Budgeting,Programmable Logic Controllers Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 147000 - 250000