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Argonne National Laboratory · 2 days ago

PSE Chief Artificial Intelligence (AI) Officer

Lemont, IL USA

Full-time

Onsite

Director/Executive

$170K/yr - $264K/yr

6+ years exp

Argonne National Laboratory is seeking a PSE Chief Artificial Intelligence (AI) Officer to serve as a strategic advisor, guiding the vision and execution of AI initiatives. The role involves collaborating with leadership to shape AI strategies, engaging with scientists and external partners, and advising on funding opportunities to advance AI programs.

EnergySecuritySocial Impact

Culture & Values

No H1B

U.S. Citizen Only

Responsibilities

Partner with directorate leadership to shape, implement, and lead the directorate’s AI strategy, ensuring successful execution across programs and projects

Engage with PSE leadership and staff to develop, coordinate, and clearly communicate a cohesive AI strategy aligned with the overall Laboratory strategy

Provide strategic consultation to PSE leadership on the long-term vision and direction of AI in scientific research

Collaborate with a diverse community of scientists within Argonne and with external partners to apply state-of-the-art AI methods to accelerate scientific discovery

Represent PSE in scheduled conference calls and engagements with external collaborators, co-innovators, and technology partners

Advise leadership on identifying funding opportunities and support the development of competitive funding proposals to advance AI programs

Adapt and evolve leadership approaches and strategies as AI initiatives scale and mature across the directorate

Qualification

AIMachine LearningData ScienceAI InfrastructureStrategic VisionTechnical ExpertiseLeadershipRelationship Building

Required

Bachelors and 12+ years of experience, Masters and 7+ years, PhD and 6+ years, or equivalent

Ability to build effective working relationships across the organization and with external collaborators

Possess technical expertise, strategic vision, leadership and ethical insight to successfully lead AI initiatives

Demonstrate technical skills in AI and machine learning, data science and analytics, traditional software development, and an understanding of AI infrastructure