Title: Transmission Planning Engineer 1 Job ID: 7403 Job Family: System Planning & Engineering Location: Pomona, CA, US Pay: $79,200 – $118,700 EDISON EMPLOYEES: This site is only for external candidates. Please navigate to internal Portal to apply. Pay Grade: Exempt – 30 Pay Range: $79,200.00 -$118,700.00 Join the Clean Energy Revolution Become a Transmission Planning Engineer 1 at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll support transmission system planning by performing power system modeling and analysis, including steady-state and stability studies to enable new generation resource integration and ensure reliable grid performance. As a Transmission Planning Engineer 1, 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? Responsibilities - Prepares technical engineering evaluations and supports the inspections of equipment and operations. Assists in the review and applications of new technologies to improve quality of service to customers. - Maintains records and documentation on relevant engineering procedures and preventative/ demand - Maintenance. - Assists with engineering projects using existing procedures to investigate, evaluate and assist in producing technically correct and cost-effective designs and solutions. - Supports the document lifecycle within assigned projects according to defined organizational processes. - Provides operational support to improve customer satisfaction and reliability performance; monitors the trending of electrical system health. - Assists with Root Cause Analysis (RCA), Apparent Cause Analysis (ACA), and miscellaneous investigations to troubleshoot problems, making changes to correct them. - Observes all safety policies during the execution of required tasks and ensures safety standards are met, and safe working practices are adhered to. - 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. Minimum Qualifications - Bachelor's Degree in Engineering or Bachelor's Degree in a scientific/technical/math field. - Experience performing engineering work in operations, production, construction or maintenance environments. - Possess a valid Class C Driver's License. Preferred Qualifications - Bachelor’s Degree in Eelectrical Engineering with an emphasis in Power - Coursework or internship experience with power system engineering analysis (e.g., power flow, transient stability and short-circuit) - Strong ability to communicate complex technical concepts clearly to audiences with varying levels of technical understanding - Experience using GE PSLF and/or PowerWorld simulation software Additional Information - This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! - Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. - This position has been identified as a NERC/CIP impacted position – Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties. - Relocation does not apply to this position. About Southern California Edison The people at SCE don’t just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Senior Forward Deployed Engineer Location: Remote - Georgia Kazakhstan Kyrgyzstan Uzbekistan Armenia Job Description: AI Engineering Find me a job Location-specific conditions & benefits* Choose an option We are looking for a Senior Forward Deployed Engineer to join our team focused on developing AI agents, along with the backend and frontend for related applications. With 20+ agents launched, we accelerate innovation across critical industries. You will work in a high-impact, high-autonomy environment, taking projects from concept to production. Responsibilities - Collaborate with business stakeholders, product teams and domain experts to understand requirements and translate them into practical technical solutions that drive measurable business outcomes - Contribute to the design and implementation of full-stack applications and AI-enabled solutions, supporting rapid development and deployment of GenAI use cases - Support delivery of solutions across the lifecycle-from prototyping through production rollout and iteration-ensuring reliability and usability in real-world environments - Apply LLM patterns such as retrieval/RAG, agent workflows and basic evaluation approaches to implement effective AI-driven functionality - Participate in building and maintaining developer tooling, CI/CD pipelines and observability practices to support stable and efficient delivery - Follow strong engineering practices, including modularity, maintainability and production readiness, adhering to established standards and security guidelines - Contribute as a hands-on engineer within the team, supporting implementation, collaborating with peers and helping resolve technical challenges - Document and share learnings from implementations to contribute to team knowledge and incremental improvements in delivery practices Requirements - 3+ years of professional experience in software engineering, contributing to delivery of production systems - Knowledge of at least one business domain - Working knowledge of backend or frontend development, with exposure to cloud services and standard development practices - Experience contributing to cloud-based applications, with focus on reliability, maintainability and code quality - Exposure to AI/LLM-based solutions (e.g. using APIs or basic RAG patterns) in practical implementations - Capability to collaborate with stakeholders and support translation of business requirements into technical solutions - Strong problem-solving and communication skills, with ability to work effectively within a team - Skills in building AI agents (TypeScript, .NET or Go) - Expertise in cloud platforms (AWS, Azure or GCP) - English proficiency at B2 level or higher Nice to have - Familiarity with AI agent development, evaluation frameworks and advanced LLM patterns (RAG, orchestration, tool use) - Experience with CI/CD, Infrastructure as Code and observability practices - Understanding of secure SDLC practices and privacy considerations - Familiarity with LangChain, LangGraph and MCP, vector/RAG systems and OpenSearch - Awareness of regulatory and compliance standards (e.g. SOC 2, HIPAA) We offer/Benefits We connect like-minded people - Delivering innovative solutions to industry leaders, making a global impact  - Enjoyable working environment, whether it is the vibrant office or the comfort of your own home  - Opportunity to work abroad for up to two months per year  - Relocation opportunities within our offices in 55+ countries - Corporate and social events    We invest in your growth - Leadership development, career advising, soft skills and well-being programs  - Certifications, including GCP, Azure and AWS - Unlimited access to LinkedIn Learning and Udemy - Free English classes with certified teachers  We cover it all - Participation in the Employee Stock Purchase Plan  - Monetary bonuses for engaging in the referral program  - Comprehensive medical & family care package    - Five trust days per year (sick leave without a medical certificate)    - Benefits package (sports activities, a variety of stores and services)

Lead Forward Deployed Engineer Location: Remote Georgia, KazakhstanKyrgyzstanUzbekistanArmenia Job Description: We are seeking a Lead Forward Deployed Engineer to join our team focused on developing AI agents, along with the backend and frontend for related applications. With 20+ agents launched, we accelerate innovation across critical industries. Youll work in a high-impact, high-autonomy environment, taking projects from concept to production. Responsibilities - Collaborate with business stakeholders, product teams, and domain experts to understand requirements and translate them into practical technical solutions that drive measurable business outcomes - Design and implement backend, full-stack applications, AI agents, and platform components, supporting rapid development and deployment of GenAI use cases - Support delivery of solutions across the lifecycle - from prototyping through production rollout and iteration - ensuring reliability and usability in real-world environments - Apply current LLM patterns such as RAG, retrieval, routing, tool-use, agent workflows, and evaluation approaches to deliver reliable and efficient AI systems - Build and maintain developer tooling, CI/CD pipelines, and observability practices to support safe, fast, and stable iteration - Follow strong engineering practices, including modularity, maintainability, and production readiness, while applying secure SDLC and privacy-by-design standards - Contribute as a hands-on engineer within the team, supporting implementation, collaborating with peers, and helping resolve technical challenges - Document and share learnings from implementations to contribute to team knowledge and incremental improvements in delivery practices Requirements - 5+ years of professional software engineering experience contributing to delivery of production systems - At least 1 year of relevant leadership experience - Strong full-stack development skills with working knowledge of backend and frontend development - Background in building AI agents using TypeScript, .NET, or Go - Proficiency in cloud platforms such as AWS, Azure, or GCP, with a proven track record delivering secure, reliable, cloud-native systems - Exposure to AI/LLM-based solutions (e.g., using APIs or basic RAG patterns) in practical implementations - Basic knowledge or exposure to at least one business domain - Capability to collaborate with stakeholders and translate business requirements into technical solutions - Excellent problem-solving and communication skills, with ability to work effectively within a team - Strong English communication skills (B2 level or higher) Nice to have - Familiarity with LangChain, LangGraph, and MCP, along with vector/RAG systems and OpenSearch - Expertise in evaluation frameworks and advanced LLM patterns (orchestration, tool use, fine-tuning, model adaptation) - Exposure to machine learning workflows, including training, deployment, and monitoring - Understanding of CI/CD, Infrastructure as Code, and observability practices - Awareness of secure SDLC, privacy considerations, and regulatory or compliance standards (e.g., SOC 2, HIPAA) We offer/Benefits We connect like-minded people - Delivering innovative solutions to industry leaders, making a global impact  - Enjoyable working environment, whether it is the vibrant office or the comfort of your own home  - Opportunity to work abroad for up to two months per year  - Relocation opportunities within our offices in 55+ countries - Corporate and social events    We invest in your growth - Leadership development, career advising, soft skills and well-being programs  - Certifications, including GCP, Azure and AWS</li> - Unlimited access to LinkedIn Learning and Udemy - Free English classes with certified teachers  We cover it all - Participation in the Employee Stock Purchase Plan  - Monetary bonuses for engaging in the referral program  - Comprehensive medical & family care package    - Five trust days per year (sick leave without a medical certificate)    - Benefits package (sports activities, a variety of stores and services) EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.

• Serve as the technical leader at the intersection of Palantir Foundry's platform capabilities and our most complex, high-impact healthcare data and operational engagements. • Combine deep technical expertise in Palantir Foundry with strategic deployment leadership. • Drive transformational outcomes for kidney care and healthcare operations. • Be hands-on and independent, owning and architecting enterprise-grade solutions. • Shape the technical strategy for critical engagements across our client's healthcare ecosystem.