Job Description

BHE building a small, senior engineering team to solve high-value problems across its energy businesses. Engineers will work directly with business and operating leaders to identify opportunities, build solutions quickly and carry successful products into production. The work will span software engineering, data, forecasting, artificial intelligence and optimization.

• Own solutions from business problem through production deployment.
• Build software, data products and decision tools used directly by operators and business teams.
• Work across forecasting, optimization, AI and workflow automation.
• Measure success through operating and financial outcomes, not activity or prototypes.
• Make pragmatic architecture decisions and move quickly with incomplete information.
• Establish the engineering practices and technical standards for a new team.
• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. Advanced degree preferred.
• Typically 10+ years of experience in software engineering, machine learning, artificial intelligence, or related technical disciplines for Distinguished Engineer - Applied AI and Optimization position.
• Typically 12+ years of experience in software engineering, machine learning, artificial intelligence, or related technical disciplines for Sr Distinguished Engineer - Applied AI and Optimization position.
• Typically 15+ years of experience in software engineering, machine learning, artificial intelligence, or related technical disciplines for Fellow Engineer - Applied AI and Optimization position.
• Strong knowledge of AI/ML technologies, generative AI, software engineering principles, cloud platforms, and modern development practices.
• Experience leading complex technical initiatives and influencing strategy across teams and organizations.
• Strong problem-solving, communication, collaboration, and stakeholder management skills.
• Ability to balance innovation, business objectives, risk management, and operational excellence.
• Demonstrated experience building and scaling AI capabilities across multiple organizations, including establishing foundational platforms, governance models, operating practices, and talent strategies that enabled enterprise AI adoption.
• Demonstrated success establishing AI programs, platforms, governance frameworks, or engineering practices in organizations that were early in their AI transformation journey.

Preferred skills:

• 10+ years of experience in the energy, utilities, or other highly regulated industries.

MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation.