AI-Enabled System Planning Engineer
Danovo Energy Solutions is an independent technology, consulting, and testing company providing business and technical expertise along with advanced methodologies and processes to utilities and others in the power and energy industries. Our mission is to provide unparalleled value to our clients in every engagement across the value chain by using advanced software and hardware, laboratories, and custom tools in a holistic approach to practical service and the most insightful thought leadership in the industry.
At Danovo Energy Solutions, our people define us. We value a company culture based on core values of diversity, teamwork, respect, accountability, innovation, and entrepreneurial spirit. Not only will you get the chance to work alongside industry thought leaders, but the opportunity to become a thought leader yourself. We’re focused on creating an environment committed to employee growth. That is achieved by ensuring a quality workspace, allowing flexible schedules, and through our training & mentoring programs. Danovo Energy Solutions is committed to an equal-opportunity workplace.
Danovo Energy Solutions is a wholly owned subsidiary of Quanta Services (NYSE: PWR), a member of the S&P 500 and the largest specialty engineering construction company in North America, serving energy companies and communication utilities around the world.
POSITION OVERVIEW
This role is designed for engineers with strong power systems fundamentals who are interested in applying modern analytics and AI-enabled tools to reliability, resilience, and system planning challenges. Engineers in this position support utility studies using advanced planning platforms, data-driven models, and emerging AI-assisted methods, with opportunities to contribute to the continued enhancement of these tools as they gain experience. Engineering title and level will be determined based on experience and qualifications.
KEY RESPONSIBILITIES
- Support reliability, resilience, and system planning projects for electric utilities
- Perform analytical, simulation, and data-driven studies using power system engineering principles
- Use and help enhance advanced system planning and reliability tools, including AI-enabled solutions
- Develop Python-based scripts or workflows to automate analyses and improve efficiency
- Collaborate with engineers, data scientists, and software developers on technical solutions
- Develop foundational project management and technical leadership skills
- Promote teamwork, innovation, and continuous improvement across the organization
REQUIRED QUALIFICATIONS
- Background in power systems, reliability, resilience, or system planning
- Experience with power system analysis or planning tools
- Working knowledge of Python and interest in coding, scripting, or automation
- Interest in applying data analytics or AI techniques to engineering problems
- Willingness to learn and work with AI-enabled engineering tools
- Master’s degree in electrical engineering or a related field (PhD a plus)
- Ability to work effectively in a collaborative, multidisciplinary environment
- Strong analytical, communication, and problem-solving skills
PREFERRED QUALIFICATIONS
- Experience with data analytics, optimization, or AI/ML concepts applied to engineering problems
- Development of analytical tools or workflows in Python (e.g., NumPy, pandas, SciPy)
- Experience using modern AI-assisted development tools and environments (e.g., VS Code, AI coding assistants such as Codex or Claude)
- Familiarity with applied AI architectures or data platforms relevant to engineering analytics (e.g., graph databases, RAG, or similar techniques)
- Familiarity with utility reliability metrics (SAIDI, SAIFI, CAIDI, resilience metrics)
- Advanced coursework, research projects, or publications in power systems or analytics
- Participation in technical societies (IEEE, CIGRE, etc.)
LOCATION
Danovo Energy Solutions has offices in Raleigh, NC, Markham, ON, Lombard, IL, and San Clemente, CA. We offer hybrid employment that supports a blend of in-office and remote work.
COMPENSATION & BENEFITS
Danovo Energy Solutions offers a competitive compensation package, including performance-based bonuses and a comprehensive benefits program. Our offerings are designed to support overall well-being. We believe in recognizing and rewarding the contributions of our team through meaningful and equitable compensation
WORKING CONDITIONS
Working conditions are typical of a professional office environment. When working in field or laboratory settings, the use of personal protective equipment (PPE) and completion of additional safety training may be required. The role may involve lifting and carrying equipment, standing for extended periods, and working in varying weather conditions. Job duties may require the ability to sit, stand, kneel, bend, and perform other physical movements associated with the work. Specific vision abilities (such as close vision, distance vision, color vision, or depth perception) may be required depending on the assigned job duties. Qualified individuals with disabilities may perform the essential functions of this role with or without reasonable accommodation.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. The employee may be asked to perform other job-related duties as required.
At Danovo Energy Solutions, we offer a challenging and rewarding work environment where our employees are encouraged to grow and develop their skills. We are committed to providing equal employment opportunities for all individuals and do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other legally protected status. If you are interested in becoming a part of our team and possess the required qualifications and experience, we encourage you to apply for this exciting opportunity. Danovo Energy Solutions does not use artificial intelligence in our recruitment and selection process.