Senior Software & AI Engineer II

Join the Clean Energy Revolution Become a Senior Software & AI Engineer II at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll play a hands‑on role in designing and developing software solutions that integrate AI capabilities into real-world applications. You’ll build custom web and mobile solutions and work with large language models, and low‑code/no‑code platforms to enhance product functionality and user experience.

In this role, you’ll collaborate closely with cross‑functional teams to deliver innovative, scalable solutions. You’ll contribute your expertise across modern technology stacks and help translate business needs into technical outcomes. You will be the technical lead partnering with product managers and UX designers to build innovative solutions. You’ll also support junior engineers through mentorship and help troubleshoot complex issues as they arise.

As a Senior Software & AI Engineer II, 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 technical guidance to the team, aligning with enterprise architecture and driving consensus on technical decisions using software engineering principles. Involve senior members and leadership into decisioning.
• 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.
• 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.
• 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.
• Seven or more years of hands‑on full‑stack enterprise scale experience in software development and delivery.
• One or more years of experience building, integrating and scaling AI solutions.
• Three 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, GCP, and/or AWS and understanding of enterprise architectures.
• Two or more years of experience building, integrating and scaling AI solutions.
• Four or more years of experience with modern front‑end frameworks (React, Angular, etc) and back‑end frameworks (Python, Node.js, Express, etc).
• One or more years of experience implementing AI for enterprise grade AI powered chatbots, multi‑modal use‑cases (voice‑to‑text,…