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At Exact Sciences, we’re helping change 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 you’re working to help others.
Position Overview
The 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 organization’s technology ecosystem. The position combines software engineering expertise with a strong understanding of AI risk management, compliance, and observability.
Essential Duties
Include, 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 company’s 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 Qualifications
- Bachelor’s 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 Qualifications
- Master’s 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.
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Salary Range:
$147,000.00 - $250,000.00
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In 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.
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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.
