Lead Engineer Artificial Intelligence
Lead Engineer Artificial Intelligence
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Job Description
Help us change lives
At 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 Overview
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 leadershipguiding 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 companys 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.
Minimum Qualifications:
- Bachelors degree in Computer Science Artificial Intelligence Data Science or a related field; or High School Diploma/General Education Degree and 4 years of relevant as outlined in the essential duties in lieu of Bachelors 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.
Preferred Qualifications:
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:
$147000.00 - $250000.00The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring 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.
Employment Type
Full-Time
