Energy AI Transformation Solution Architect

ement, collaboration, team leadership and be a self-starter requiring minimal supervision and direction. The ideal candidate will have excellent investigative skills and an ability to connect with people to dig into processes and cultivate/develop insights from those interactions. The candidate should be intellectually curious, enjoy discovery and learning, and possess sufficient technical and analytical skills to separate hyperbole from opportunity. Experience with utility power systems (Transmission, Substation, Distribution, Planning) and fundamental AI technologies is a great basis for success, as is business acumen and perspective.

Primary Responsibilities

• Develop a broad understanding of our businesses and strategies

• Engage engineers and leaders across our business to learn about frictions, gaps, and opportunities to drive efficiency in our energy business

• Develop strong understanding of as-is processes and develop documentation

• Collaborate to explore opportunities to drive beneficial and disruptive change

• Develop to-be visions of processes and methods through deep collaboration with power and AI SMEs

• Communicate, refine, and evolve concepts to align technical, business, and physics constraints

• Cultivate a repository of these use cases and opportunities and serve as the informed leader for development teams who seek to execute, deliver, and transform workflow tools and techniques as the 'big picture thinker'.

• Serve both internal and external clients as necessary, and flex between discovery leadership and execution leadership to help lead concepts to reality.

• Sell the vision for change you help create and cultivate to skeptics and laggards who remain unsure, and integrate the frictions and concerns their experience can foresee.

Basic Qualifications

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• Bachelor's Degree with eight plus (4+) years of relevant experience. May consider more years of relevant experience in lieu of degree

• Strong problem-solving, conceptual, and analytical abilities

• Experience developing architecture and strategy plans for people/process workflows

• Basic knowledge of electric power systems and the power grid

• Basic conceptual knowledge of AI/ML strategies including supervised, unsupervised, semi-supervised, and reinforcement learning

• An intellectually curious mindset and passion for learning / sense-making

• Exceptional communication and collaboration skills; you will need to learn enough to envision and champion change

• Excellent teamwork skills

• Ability to prioritize tasks independently

• Must currently have a valid U.S Passport or the ability to obtain one for international travel

• Ability to travel up to (50%)

Preferred Qualifications

• Direct experience in low/medium/high voltage power system design

• Formal AI training courses or degree

• Direct experience as a business process change consultant

Are you ready to make an impact? Begin your journey of a flourishing and meaningful career; share your resume with us today!

We take care of our employees. Leidos seeks the best and the brightest, and in return, we invest in you, with an eye on your future, through career advancement, growth opportunities and continuous improvement via mentoring, formal and informal project management training and assistance with obtaining pertinent certifications. We challenge you to help solve some of the world's toughest problems, and reward you with a welcoming culture that recognizes the importance of a strong work/life balance, as well as competitive compensation and benefits . We believe that diversity and inclusion make us all better and offer the chance to have fun and make a difference

Original Posting:
April 11, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $85,150.00 - $153,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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