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Full-time
bachelor degree, postgraduate degree
Posted 1d ago
~40 hrs/week
Responsibilities
Translate applied AI strategy into customer-ready capabilities, prototypes, and production-oriented solution designs for Energy Systems. Lead cross-functional efforts to develop and evaluate LLM-enabled workflows, focusing on RAG and responsible AI practices.
Requirements
Requires a bachelor's degree and 5+ years of experience in designing and delivering LLM-enabled capabilities and RAG systems. Must demonstrate expertise in prompt engineering, AI evaluation methods, and the ability to lead technical workstreams across diverse teams.
Full job description
Technical Manager – LLMs, RAG and ML is a strategic role within the Product organization, reporting to the Head of Section - AI Solutions. This role is responsible for translating applied AI strategy into customer-ready capabilities, prototypes, reusable technical patterns, evaluation methods, and production-oriented solution designs that support the Transformational Trust Initiative and broader digital platform enablement across Energy Systems.
This role is responsible for translating applied AI strategy into customer-ready capabilities, prototypes, reusable technical patterns, evaluation methods, and production-oriented solution designs that support the Transformational Trust Initiative and broader digital platform enablement across Energy Systems.
This role sits within Digital & Transformation and operates as a core product partner to the AI Solutions function, working across advisory regions, Renewable Certification, Digital & Data Solutions, Global Service Area Leads, engineering, data science, UX, and domain experts.
This position collaborates directly with the Head of Section - AI Solutions to identify high-impact AI opportunities, define product requirements, validate prototypes and proofs-of-concept, and support the delivery of scalable AI-driven workflows across Energy Systems.
This role is based at Oakland, CA, Irvine, CA office.
What You'll Do
AI Product Strategy & Roadmap Contribution
Partner with the Head of Section – AI Solutions to translate the applied AI strategy into an executable technical roadmap, delivery plan, and prioritized set of AI product capabilities
Contribute to roadmap definition, product vision, and technical strategy for LLM-enabled workflows across the Transformational Trust platform.
Identify high-impact opportunities where AI, language models, retrieval systems, and automation can improve customer value, workflow efficiency, decision quality, and platform adoption.
Help define technical standards, delivery patterns, and reusable components for AI-powered product development across advisory and digital platform workflows.
Provide informed recommendations on model selection, retrieval architecture, evaluation approach, prompt strategy, orchestration patterns, and technical feasibility.
LLM, RAG and AI Solution Development
Design, prototype, and guide delivery of AI-enabled capabilities using Large Language Models, generative AI foundations, Retrieval-Augmented Generation, vector search, and structured output techniques.
Develop proof-of-concepts, reference implementations, and solution designs that engineering partners can implement, scale, and maintain.
Design retrieval and indexing approaches for complex document, language, and workflow data, including semantic search, and context construction.
Apply prompt engineering, tool/function calling, structured reasoning, and multi-step workflow patterns to support reliable AI-enabled product experiences.
Support fine-tuning, LoRA, model adaptation, and evaluation approaches where needed to improve domain performance, task reliability, and user outcomes.
AI Evaluation, Quality and Responsible Use
Establish practical evaluation methods for LLM-enabled workflows, including accuracy, relevance, reliability, retrieval quality, user experience, and task completion metrics.
Develop benchmark approaches, test datasets, evaluation rubrics, and monitoring methods to support reliable AI performance over time.
Partner with the Head of Section, data science, engineering, and governance stakeholders to support responsible AI practices, including transparency, risk identification, data considerations, and appropriate human oversight.
Define quality standards for prototypes, AI components, prompt patterns, retrieval workflows, and production handoffs.
Track and communicate AI product performance against KPIs tied to customer value, workflow efficiency, model quality, and responsible AI outcomes.
Cross Functional Technical Leadership
Lead cross-functional AI delivery efforts across product, engineering, data science, UX, domain experts, and customer-facing teams.
Serve as a technical translator between business needs, user workflows, AI methods, and engineering implementation.
Provide technical guidance to teams working on LLM applications, retrieval systems, chatbot or agentic workflows, data pipelines, and AI-enabled decision support.
Support rapid prototyping and iteration while maintaining a disciplined approach to quality, scalability, and responsible deployment.
Coach emerging AI and product talent as the AI Solutions function grows, helping build a culture of experimentation, rigor, inclusion, and continuous improvement.
About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future. We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
DNV is the independent expert in risk management and assurance, operating in more than 100 countries. Through its broad experience and deep expertise DNV advances safety and sustainable performance, sets industry benchmarks, and inspires and invents solutions.
Whether assessing a new ship design, optimizing the performance of a wind farm, analyzing sensor data from a gas pipeline or certifying a food company’s supply chain, DNV enables its customers and their stakeholders to make critical decisions with confidence.
Driven by its purpose, to safeguard life, property, and the environment, DNV helps tackle the challenges and global transformations facing its customers and the world today and is a trusted voice for many of the world’s most successful and forward-thinking companies.
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Based on 46 listings with disclosed salaries, most energy jobs in Oakland, CA pay between $101k–$217k per year. Individual offers vary with seniority, company size, and specialization.
How many Energy jobs are open in Oakland, CA right now?
There are currently 55 open energy positions in Oakland, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Energy roles in Oakland, CA?
Companies currently hiring include Pacific Gas and Electric Company, Schneider Electric, Sedaa corp, Adapture Renewables, Inc., Allied Universal, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Energy jobs in Oakland, CA?
Yes — 42 of the 55 open energy positions offer remote or hybrid work (3 remote, 39 hybrid).
How do I apply for Energy jobs in Oakland, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.