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Technology Lead - AI Assisted Development
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Schneider Electric
Louisville, KY (In Person)
$147,500 Salary, Full-Time
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Job Description
Technology Lead - AI Assisted Development Schneider Electric - Energy & Sustainability Software Join a team building cloud-based products that help organizations reduce energy use and drive real sustainability impact. We're looking for a Senior .NET Core Engineer who's excited about modern engineering practices - especially AI-augmented development - and wants to build scalable, high-quality systems on Azure. For this U.S. based position, the expected compensation range is $135,000 - $160,000 per year, which includes base pay and short-term incentive. The compensation range for this full-time position applies to candidates located within the United States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits. You must submit an online application to be considered for the position. The Company will accept applications on an ongoing basis until the position is filled. What You'll Do
- Build and enhance SaaS applications used by global customers to track, analyze, and optimize energy and sustainability performance.
- Design and develop .NET Core-based services, APIs, integrations, and backend systems.
- Work closely with architects and cross-functional teams to design clean, scalable solutions.
- Use AI coding assistants (Cursor, Claude Code, Codex, etc.) throughout the SDLC - from design and prototyping to code generation, testing, documentation, and refactoring.
- Help shape best practices for AI-assisted engineering, including prompt techniques and quality controls.
- Integrate and process sustainability-related data across various systems and services.
- Build cloud-ready, resilient solutions using Azure services (Functions, Service Bus, App Insights, Data Factory, etc.).
- Write maintainable, high-quality C# code and participate in code reviews.
- Stay current with emerging tech - especially new AI tools - and help bring them into our workflow. Our Engineering Culture
- AI is part of the job. We use AI tools daily to accelerate development, improve code quality, and reduce manual overhead.
- Quality matters. AI-generated code is held to the same review standards as everything else.
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