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Exact Sciences · 1 week ago

Lead AI Safety and Enablement Engineer

Madison, WI

Full-time

Onsite

Senior Level, Lead/Staff

$147K/yr - $250K/yr

8+ years exp

Exact Sciences is helping change how the world prevents, detects and guides treatment for cancer. The Lead AI Safety and Enablement Engineer ensures the safe, reliable, and scalable use of AI and machine learning across the organization, focusing on developing and implementing systems and frameworks that embed responsible AI principles.

BiotechnologyHealth DiagnosticsManufacturingMedical

No H1B

Responsibilities

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

Qualification

AI lifecycle toolsPythonML systemsCI/CD processesCloud platformsAI risk managementInclusion mindsetTeam collaboration

Required

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