Engineer 1 - Fleet Management
About The Position
Drives AI related initiatives to improve the effectiveness of the Engineering functional, and cross-functional initiative support. Supports the identification, validation, and execution of high-value AI use cases that improve engineering productivity, quality, and workflow efficiency. Acts as a connector between engineering teams and ARC/Digital teams to help translate user needs into clear business requirements, workflows, testing feedback, and adoption actions. Works under guidance while developing technical, program, and change management skills through practical execution and stakeholder engagement. Supports development and execution of cross-functional, technology-led, or product-focused programs, with an emphasis on AI-enabled engineering transformation. Works with engineering, ARC, Digital, and other internal teams to coordinate activities, track actions, and support delivery of AI initiatives aligned with business and engineering priorities. Support identification, documentation, and prioritization of high-value AI use cases within Customer Service Engineering. Help translate engineering opportunities and pain points into structured business requirements, user stories, workflows, and use-case documentation for ARC and Digital teams. Act as a day-to-day liaison between engineers and ARC/Digital teams by gathering user needs, documenting workflow requirements, supporting UAT activities, and collecting structured feedback to improve AI tools, workflows, and model outputs. Support measurable adoption and impact of AI tools by helping define and track KPIs such as time saved, workflow efficiency, user adoption, and quality improvements. Assist in running pilots, collecting user feedback and performance data, and supporting refinement and scale-up of successful solutions. Support development and delivery of AI enablement activities to build an AI-literate engineering organization. Create and deliver training materials, demos, workshops, and practical guidance on how to use AI tools effectively in engineering workflows. Help develop reusable prompt libraries, playbooks, and job aids for common engineering tasks. Provide 1:1 or small-group support to users, early adopters, and champions. Acts as a resource to peers in areas of rotation experience and AI tool adoption. May lead small workstreams, pilot activities, or training sessions with guidance. Explains information clearly and helps bring team members to alignment around workflows, user needs, and adoption priorities. Facilitates working sessions, gathers user feedback, documents issues, and communicates clearly across engineers, IT, digital teams, and leadership as appropriate. Balances user needs, technical constraints, and business priorities in day-to-day execution.
Requirements
- Bachelor's degree from an accredited university or college in Engineering, Computer Science, Information Technology, Data Science, or a related technical field.
- Demonstrated exposure to engineering processes, digital tools, cross-functional collaboration, and problem-solving through rotational assignments, internships, co-ops, or project work.
- Familiarity with AI/LLM tools and concepts, including practical applications, prompting basics, limitations, risks, and responsible use.
- Demonstrated ability to document requirements, organize information, support projects, and communicate effectively with technical and non-technical stakeholders.
Nice To Haves
- Gas Power Edison Engineer
- Completion of LPX, Teardown Training
- Progress toward completion of Engineering Masters degree and/or ACE Certificate
- Strong stakeholder management and communication skills, with the ability to translate between engineers, IT, digital teams, and leadership in clear and precise language.
- Comfortable gathering feedback, supporting workshops, and following through on actions.
- Foundational technical literacy in GAS Power and/or engineering, software, or AI-related environments.
- Understands engineering workflows and has the curiosity to learn digital tools, AI applications, and business processes.
- Early product/program mindset with strong execution discipline.
- Thinks in terms of user needs, value, and continuous improvement.
- Able to support roadmap activities, requirements gathering, pilot execution, and progress tracking.
- Strong change management and enablement orientation.
- Interested in helping teams adopt new tools and ways of working.
- Able to design and deliver simple training content, build trust with users, and address concerns constructively.
Responsibilities
- Supports development and execution of cross-functional, technology-led, or product-focused programs, with an emphasis on AI-enabled engineering transformation.
- Works with engineering, ARC, Digital, and other internal teams to coordinate activities, track actions, and support delivery of AI initiatives aligned with business and engineering priorities.
- Support identification, documentation, and prioritization of high-value AI use cases within Customer Service Engineering.
- Help translate engineering opportunities and pain points into structured business requirements, user stories, workflows, and use-case documentation for ARC and Digital teams.
- Act as a day-to-day liaison between engineers and ARC/Digital teams by gathering user needs, documenting workflow requirements, supporting UAT activities, and collecting structured feedback to improve AI tools, workflows, and model outputs.
- Support measurable adoption and impact of AI tools by helping define and track KPIs such as time saved, workflow efficiency, user adoption, and quality improvements.
- Assist in running pilots, collecting user feedback and performance data, and supporting refinement and scale-up of successful solutions.
- Support development and delivery of AI enablement activities to build an AI-literate engineering organization.
- Create and deliver training materials, demos, workshops, and practical guidance on how to use AI tools effectively in engineering workflows.
- Help develop reusable prompt libraries, playbooks, and job aids for common engineering tasks.
- Provide 1:1 or small-group support to users, early adopters, and champions.
- Acts as a resource to peers in areas of rotation experience and AI tool adoption.
- May lead small workstreams, pilot activities, or training sessions with guidance.
- Explains information clearly and helps bring team members to alignment around workflows, user needs, and adoption priorities.
- Facilitates working sessions, gathers user feedback, documents issues, and communicates clearly across engineers, IT, digital teams, and leadership as appropriate.
- Balances user needs, technical constraints, and business priorities in day-to-day execution.
Benefits
- Medical, dental, vision, and prescription drug coverage
- Access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- Access to Fidelity resources and financial planning consultants
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability benefits
- Life insurance
- 12 paid holidays
- Permissive time off
- Discretionary annual bonus
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
