Solution Engineer: Enterprise Genai & Analytics Enablement

American Electric Power (AEP)

Base: $87,633.00 - $109,543.00; bonus/equity: not ...
Not specified (potentially hybrid or onsite based on the role’s nature)
5+ years solution engineering experience
Python .net javascript ecosystem knowledge
Devops mlops ci/cd implementation skills
American Electric Power (AEP) is seeking a mid-level Solution Engineer to enhance their AI, analytics, and GenAI capabilities. The ideal candidate will collaborate with various teams to design scalable solutions, implement best practices, and contribute to the development of internal platforms

Job Summary

  • American Electric Power is advancing the next generation of AI, analytics, and GenAI capabilities across the enterprise.
  • This hands-on role involves partnering with stakeholders to design scalable AI-driven solutions and shape internal GenAI platforms.
  • The position offers a competitive compensation range of $87,633.00 to $109,543.00 along with a comprehensive benefits package.

Matching Summary

Match Score: 85

American Electric Power (AEP) is seeking a mid-level Solution Engineer to enhance their AI, analytics, and GenAI capabilities. The ideal candidate will collaborate with various teams to design scalable solutions, implement best practices, and contribute to the development of internal platforms.

Salary

Base: $87,633.00 - $109,543.00; Bonus/Equity: Not specified; Benefits: Comprehensive package included

Skills & Requirements

Must-have

  • 5+ years solution engineering experience
  • Python .NET JavaScript ecosystem knowledge
  • DevOps MLOps CI/CD implementation skills
  • Cloud platform AWS or Azure experience
  • Container orchestration Kubernetes exposure

Nice-to-have

  • Strong problem-solving mindset focus
  • Ability to learn new tools quickly
  • Experience with managed services integration
  • Effective communication with non-technical partners
  • Familiarity with security governance fundamentals

Key Requirements

  • Bachelor's degree in computer science or related field
  • Minimum 5 years relevant professional experience
  • Working knowledge of DevOps or MLOps concepts

Work Rights

Not specified

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