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A leading technology consulting firm in the energy sector is seeking a Senior Advisor specializing in AI Applications for Power System Studies. This senior-level position offers an opportunity to lead the integration of cutting-edge artificial intelligence (AI) solutions into reliability and resilience planning for electric power systems. The ideal candidate will bring deep technical expertise, leadership experience, and a passion for applying Generative AI (GAI) technologies to complex power system challenges.

Key Responsibilities

Technical Leadership

  • Lead the design and execution of AI-driven power system studies focused on reliability and resilience.

  • Develop and deploy advanced AI and GAI solutions to address complex industry problems.

  • Produce high-quality technical deliverables on time and within scope.

  • Stay current with emerging AI technologies and assess their relevance to power system applications.

Project Management & Proposal Development

  • Write and present compelling technical proposals for new opportunities.

  • Manage project timelines, resources, and deliverables to ensure successful outcomes.

  • Collaborate across teams to leverage organizational strengths and technical expertise.

Client Engagement & Business Development

  • Build and maintain strong client relationships at multiple organizational levels.

  • Identify and pursue new business opportunities in AI-based power system studies.

  • Represent the company’s AI capabilities in client presentations, workshops, and industry events.

Team Leadership & Mentorship

  • Lead and mentor a team of engineers and advisors in AI and power systems.

  • Foster a collaborative, inclusive, and high-performing team culture.

  • Contribute to the growth and technical excellence of the organization.

Required Qualifications

  • Master’s degree in Electrical Engineering or a related technical discipline.

  • Minimum of 8 years of experience in AI applications within the power systems domain, including at least 2 years in Generative AI.

  • Proven success in technical leadership and AI solution architecture.

  • Strong record of project delivery, technical publications, or patents in relevant areas.

  • Ability to thrive in a dynamic, diverse, and collaborative environment.

Preferred Qualifications

  • PhD in Electrical Engineering or a closely related field.

  • Additional certifications or continuing education in AI, data science, or power systems.

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