Director Engineering - Artificial Intelligence jobs in United States
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Cotiviti · 17 hours ago

Director Engineering - Artificial Intelligence

Cotiviti is a company focused on delivering innovative AI-powered experiences, and they are seeking a Director of Engineering AI. The role involves driving the design and execution of the AI platform and machine learning applications, while also leading and developing a high-performing team in the domain of AI and machine learning.

Responsibilities

Drive our AI Platform design across all lines of business
Responsible for the development and execution of the AI platform and machine learning applications
Build machine learning foundation and deliver AI/ML projects through the entire development lifecycle
Extract and transform business requirements into trackable requirements, success criteria, and deliver large-scale machine learning models/services into production
Work with product and infrastructure teams on how applied machine learning can make their product or system better
Grow and expand expertise and team with an eye toward diverse and forward-looking skills that span advanced statistics, AI/Machine Learning/Deep Learning, Probabilistic and Generative AI
Ability to define and connect the product end to end, enabling conceptualization, development and production
Represent Cotiviti at academic and industrial conferences & events
Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction
Complete all responsibilities as outlined in the annual performance review and/or goal setting
Complete all special projects and other duties as assigned

Qualification

Machine LearningAI Platform DesignStatistical AnalysisTeam LeadershipLarge Language ModelsCloud EnvironmentSoftware EngineeringCommunicationStrategic ThinkingProblem Solving

Required

MS or Ph.D. in quantitative domain (CS + Computational Physics/Math's)
10+ years of machine learning and data science experience in high velocity, high-growth companies
5+ years of management experience hiring and developing AI/ML teams
An innovative background with patents and publications in Tier1/2 journals and conferences
Experience with large-language models (LLMs) a big plus
Experience building and leading expert machine learning teams that have routinely launched new products and features, driving significant revenue
Comprehensive technical background, spanning multiple areas including software/systems engineering, machine learning, and computational physics/math with GPU based systems
Experience developing machine learning products and capabilities in a cloud environment
Strong communication skills to explain and evangelize machine learning to executives and the senior management team
Bias to action and passion for delivering high-quality data solutions
Enthusiastic and driven with a sense of urgency and vision for AI, Advanced Statistics, LLM/VectorDB design
Strong strategic thinking and problem-solving capabilities, with a focus on delivering high-impact, high-quality solutions

Benefits

Medical
Dental
Vision
Disability
Life insurance coverage
401(k) savings plans
Paid family leave
9 paid holidays per year
17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti.

Company

Cotiviti

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Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics that improve the quality and sustainability of healthcare in the United States.

H1B Sponsorship

Cotiviti has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (165)
2024 (118)
2023 (90)
2022 (102)
2021 (72)
2020 (67)

Funding

Current Stage
Late Stage

Leadership Team

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Adam Gilbert
Director, Interoperability Operations and Partnerships
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Chris McIntyre
Sr. Program Manager, RQNC Operations
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Company data provided by crunchbase