Lead Engineer Artificial Intelligence

Overview

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At Exact Sciences, we’re 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 you’re working to help others.

The Lead Engineer, Artificial Intelligence is a pivotal role responsible for driving the strategic vision and technical execution of AI platform and MLOps initiatives within the organization. This position emphasizes expertise in Machine Learning, Generative AI, and Large Language Models (LLMs), combined with deep knowledge of model lifecycle operations, observability, and governance. The Lead Engineer will architect and operationalize scalable AI/ML platforms, ensuring solutions are reliable, reproducible, and compliant with organizational and regulatory requirements. Success in this role requires balancing technical depth with leadership—guiding teams, fostering collaboration, and embedding operational excellence across the enterprise.

Essential Duties

Include, but are not limited to, the following:

• Lead the design and execution of AI/ML solutions across the lifecycle, including model training, evaluation, deployment, and monitoring, with a strong focus on reliability, cost optimization, and compliance.
• Architect and scale CI/CD and Infrastructure-as-Code pipelines for ML and GenAI workloads, embedding automated testing, governance, and environment promotion practices.
• Collaborate closely with data scientists, ML engineers, and software engineers to ensure seamless integration of models and services into production systems.
• Oversee experiment tracking, registry governance, and reproducibility frameworks to ensure traceability, audit readiness, and alignment to quality standards.
• Partner with platform, data, and security teams to design robust infrastructure for training and inference (real-time and batch/streaming).
• Implement observability frameworks to detect drift, performance regressions, and cost anomalies, and lead incident response and continuous improvement cycles.
• Champion responsible AI practices, addressing issues of data privacy, security, and bias while ensuring alignment to regulatory standards and company policies.
• Coach, support, and provide mentorship for team members.
• Stay updated on advancements in AI research, MLOps practices, and AI platform technologies to guide initiatives.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.
• Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
• Demonstrated understanding of ethical considerations in AI systems.
• 3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
• Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
• Strong analytical and problem-solving skills with expertise in AI/ML techniques.

• Experience leading enterprise-scale MLOps initiatives.
• Deep experience with MLflow or equivalent lifecycle platforms (tracking, registry, deployment) and Unity Catalog/feature stores.
• Expertise in scalable serving patterns (real-time inference, batch/streaming), containerization, and GPU-optimized deployments.
• Familiarity with GenAI delivery at scale, including Retrieval Augmented Generation (RAG), prompt governance, and LLM orchestration frameworks.
• Knowledge of cost optimization strategies for GPU/LLM workloads (e.g., quantization, batching, autoscaling).
• Experience implementing observability and SLOs for ML/GenAI systems (drift detection, evaluation gates, incident playbooks).
• Exposure to governance and compliance practices for ML/GenAI systems, including data lineage, access control, and privacy-by-design.

Salary Range:

$147,000.00 - $250,000.00

The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. 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.

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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.

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