Staff Software & AI Engineer

Edison International-posted 4 months ago

Full-time • Senior

Rosemead, CA

5,001-10,000 employees

Utilities

Resume

Match Score

Upload and Match ResumeTrack Jobs with Teal

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 GitHub, 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, DevOps 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.

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, GCP, and/or AWS and understanding of enterprise architectures.
Two or more years of experience building, integrating and scaling AI solutions.
Seven or more years of experience with modern front-end frameworks (React, Angular, etc) and back-end frameworks (Python, Node.js, Express, etc).
Two or more years of experience implementing AI for enterprise grade AI powered chatbots, multi-modal use-cases (voice-to-text, image-to-text) and understand various LLM models.
Understanding of Agentic AI use cases and end-to-end implementation of AI agents for productivity, automation, knowledge-mining, reporting etc., RAG architectures, and the latest protocols (MCP, A2A etc.) prompt engineering.
One or more years of experience integrating ML models (Computer vision, voice, NLP etc.) with solutions.
Two or more years of experience with rapid-prototyping and Product Innovation Lifecycle (Design Thinking, Ideation, Development, PoC, MVP, Scale).
Experience with Microsoft Power Platform (PowerApps, PowerAutomate, PowerBI).
One or more years of experience with mobile development (React Native, Cordova/PhoneGap, Swift, Java)
Three or more years of experience with DevOps, CI/CD pipelines.

Track Jobs with Teal

Job Search Resources

•

AI Resume Builder

•

AI Engineer Resume Examples

•

AI Engineer Cover Letter Examples

Staff Software & AI Engineer

Job Search Resources

Tools

Career Hubs

Guides

Company