Software & AI Engineer

Join the Clean Energy Revolution

Become a Staff Software & AI Engineer at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be a hands‑on software engineer with a strong track record of integrating AI capabilities into real‑world solutions—leveraging tools like machine learning APIs, large language models, and low‑code/no‑code platforms to enhance product functionality and user experience. You are a strategic technical SME guiding multiple product and project teams.

You’ll bring deep expertise across modern technology stacks and a broad understanding of the application ecosystem to deliver innovative, best‑fit solutions. You’ll mentor engineers, solve complex business problems, and collaborate across teams to drive cross‑functional success. As a key voice in our technical direction, you’ll influence innovation and ensure successful delivery of high‑impact initiatives and projects. As a Staff Software & AI Engineer, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone.

Are you ready to take on the challenge to help us build the future?

• Using software engineering principles, build and deploy scalable, full‑stack enterprise applications (using React, Angular, Node.js, Python, and Express, deployed on Azure, or GCP cloud platforms), mobile applications (using iOS Swift, React Native etc.) and low‑code / no‑code tools such as Power Platform.
• Lead the design and implementation of AI‑integrated solutions using technologies such as Azure OpenAI, Copilot Studio, and RAG architectures to build LLM‑powered agents, voice‑to‑text, image‑to‑text capabilities and custom machine learning models.
• Provide strategic technical guidance and define the technical vision for multiple product teams, aligning with enterprise architecture and driving consensus on complex technical decisions using software engineering principles.
• Mentor and coach junior and senior developers through code reviews, pair programming, and continuous learning initiatives, promoting best practices in Git Hub, CI/CD, and secure coding.
• Promote AI adoption across the organization by identifying opportunities, conducting POCs, and integrating AI into SDLC, product management, and operations workflows using tools like Copilot and Power Platform AI.
• Align with enterprise architecture on software engineering standards, Dev Ops practices, and reusable architectural patterns including microservices, serverless, and event‑driven architectures and enforce them within DPT.
• Collaborate with cross‑functional stakeholders including enterprise architecture, product owners, UX designers, and business leaders to deliver well‑structured, maintainable, and impactful features for MVPs.
• Drive innovation by researching emerging technologies, proposing new tools and practices, and incubating ideas through rapid prototyping and MVP delivery using Design Thinking and Agile.
• Conduct technical evaluations, impact assessments, and solution prototyping to support agile delivery and continuous improvement of engineering processes.
• Manage change and risk across projects, ensuring alignment with business goals, regulatory requirements, and enterprise standards, including SOX and cybersecurity practices.
• A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Ten or more years of hands‑on full‑stack enterprise scale experience in software development and delivery.
• Two or more years of experience building, integrating and scaling AI solutions.
• Five or more years of experience leading technical teams, mentoring and coaching other developers.

• Three or more years of experience in building cloud‑native solutions and deploying solutions on cloud‑based architectures – Azure,…