GenAI Solutions Architect (m/w/d)
Power Factors
公司概况
Power Factors, Inc.
美国加利福尼亚州旧金山
2013年
全球约600名员工(来源:linkedin.com)。2023财年的收入约为1.26亿美元(来源:powerfactors.com)。
他们的业务
Power Factors开发创新的软件解决方案,旨在监控、管理和优化各种技术的可再生能源资产,包括太阳能、风能、水电和电池储能系统。他们的旗舰产品Unity是2023年推出的下一代可再生能源管理套件(REMS),将现场传感器技术与基于云的分析相结合,提供全面的管理能力(来源:powerfactors.com)。公司的解决方案涵盖整个可再生能源资产生命周期,提供本地监控和控制、集中运营、资产管理能力以及投资组合级别的监督,旨在提高运营效率并符合市场需求(来源:powerfactors.com)。Power Factors服务于多样化的客户群体,包括独立电力生产商、公用事业公司和企业用户,确保他们满足对清洁能源解决方案日益增长的需求。
项目与业绩
Power Factors在全球范围内管理重大可再生能源项目方面建立了强大的业绩记录。特别是通过收购Inaccess,该公司参与了主要的电池储能项目,包括加利福尼亚州的一座300 MWac太阳能电站与140 MW/560 MWh电池项目的配对,其中他们的能源管理系统(EMS)协调多个子电站(来源:pv-magazine.com)。此外,Arevon资产管理公司的一项100 MW/400 MWh电池储能项目Saticoy于2021年5月成功投入使用并接入Power Factors的Drive平台(来源:pv-magazine.com)。Power Factors在全球范围内管理近200 GW的可再生资产,覆盖超过60个国家,展示了其在交付复杂混合项目和管理超过34 GWh电池储能系统方面的能力。
近期发展
在2024年7月,Power Factors被认定为COP29愿景2045活动中的全球创新者,展示了其对可持续性和清洁能源转型的承诺(来源:powerfactors.com)。该公司还在2024年8月推出了新网站,展示Unity可再生能源管理套件,并反映其全面的产品演变(来源:powerfactors.com)。在2024年3月,Julieann Esper Rainville被任命为新任首席执行官,接替Gary Meyers,标志着公司战略领导的过渡,旨在进一步推动公司的增长(来源:powerfactors.com)。此外,Power Factors在2025年Gartner可再生能源管理解决方案市场指南中被认可,巩固了其在行业中的领导地位(来源:gartner.com)。
在这里工作
Power Factors提供多个部门的多种职位,包括软件工程、产品开发、运营、客户成功、销售和数据科学。该公司在全球雇佣了超过600名员工,反映了其增长和收购Inaccess后运营足迹的扩展(来源:linkedin.com)。组织文化强调协作、自动化和数据驱动的决策,符合其赋能可再生能源专业人士的使命(来源:powerfactors.com)。虽然没有详细说明具体的员工福利,但鼓励潜在候选人访问职业页面以获取有关健康保险、退休计划和职业发展机会的信息(来源:powerfactors.com)。
最后更新于 2026-02-23 | 报告问题
Job Description
Power Factors is a software and solutions provider leading the next generation of clean energy with Unity, one of the most extensive and widely deployed renewable energy management suites (REMS) in the market. With over 300 GW of wind, solar, and energy storage assets managed worldwide across more than 600 customers and 18,000 sites, Power Factors manages 25% of the world's renewable energy data.*
Power Factors' Unity REMS supports the entire energy value chain, from monitoring and controls to market analytics. The company's suite of open, data-driven applications empowers renewable energy stakeholders to collaborate, automate critical workflows, and make more informed decisions to maximize asset returns. Energy stakeholders receive end-to-end support, including solutions for SCADA & PPC, centralized monitoring, performance management, commercial asset management, and field service management.
With deep domain expertise, AI-powered insights are delivered at scale so businesses can optimize assets, unlock growth, and make smarter decisions as the world rapidly transitions to clean energy. Power Factors fights climate change with code.
- Outside China and India
Role summary
We are seeking a hands-on Software Engineer with proven experience deploying enterprise-grade Generative AI solutions to join our Advanced Analytics & Research - GenAI team. The GenAI team has a dual mandate: we own and deliver specific high-value GenAI features for the platform while also serving as the center of excellence that guides product teams across the organization in adopting GenAI responsibly and effectively. In this role, you will balance building our team's owned AI capabilities with rotating across product engineering teams to provide expert guidance, hands-on support, and governance oversight.
The Challenge
GenAI technology evolves faster than any single team can track. Without active governance, teams will inevitably diverge-choosing different models, building redundant components, and missing opportunities to adopt emerging best practices. Our team ensures the organization benefits from rapid AI advancement while maintaining architectural consistency and reusability across all product teams.
What you'll do
- Build owned AI capabilities (40-50% of time): Work within the GenAI team to design, develop, and operate specific GenAI features and shared services that are owned by our team. Contribute to our product roadmap, participate in sprint ceremonies, and deliver production-grade AI capabilities that serve as reference implementations for the broader organization.
- Embed & govern with product teams (40-50% of time): Rotate across product engineering teams as the technical representative of our team and AI steering committee, joining each squad for 1-3 sprints (typically working with 4-6 teams per year). You'll ensure proposed solutions align with enterprise architectural standards, leverage shared patterns and services our team has developed, and incorporate latest GenAI best practices. You'll review designs for compliance, identify reuse opportunities, prevent redundant builds, and guide teams toward approaches that support long-term maintainability and cross-team consistency.
- Architect production-grade solutions: Design and implement LLM patterns (e.g., RAG, finetuning, function/tool calling, agent workflows). Select models/services (e.g., Azure OpenAI, OpenAI, AWS Bedrock, Vertex AI) and integrate with existing microservices and data platforms.
- Data & retrieval: Build high quality retrieval pipelines (document chunking, metadata strategy, hybrid search) and manage vector stores for accuracy, coverage, and freshness.
- Quality, safety & governance: Establish evaluation pipelines (automatic and human-in-the-loop), prompt/version management, guardrails, incident playbooks, and Responsible AI controls (privacy, bias, safety).
- Performance & cost optimization: Instrument telemetry, monitor latency/quality, apply caching/streaming/batching, and manage token budgets to meet SLAs and reduce spend.
- Maintain technology radar: Stay current with the rapidly evolving GenAI landscape, evaluate new models/frameworks/patterns, and work with the steering committee to update enterprise standards. Ensure teams benefit from latest advancements without architectural chaos.
- Enable & upskill: Create reusable reference architectures, prompt libraries, SDKs/components (e.g., Semantic Kernel or LangChain), and run workshops/pairing sessions to elevate team capability.
What Success Looks Like
You will be successful when you consistently deliver high-quality features for our team's roadmap, when product teams you've worked with can independently maintain and evolve compliant AI features, when your reusable patterns are adopted across 3+ teams, and when architectural reviews show consistent alignment with enterprise standards across all GenAI implementations.
Team Context
You will join a team of software engineers and data scientists who collectively serve as the organization's GenAI center of excellence. The team owns specific platform AI capabilities while also providing governance, reusable services, and embedded consulting support to product engineering teams across the company. You will collaborate closely with teammates who may be embedded with other teams or working on our owned roadmap.
Qualifications
- Experience: 5+ years building ML/AI or data intensive software; demonstrated experience of delivering LLM solutions in an enterprise grade software (not just prototypes).
- Engineering: Strong coding in Python and one of TypeScript/Java; API/microservices, CI/CD, testing, containerization (Docker/Kubernetes).
- Cloud & data: Experience with Azure/AWS/GCP, ETL/ELT, data modeling, and data quality practices.
- LLM/GenAI: Practical knowledge of embeddings, prompt engineering, RAG, tool/agent frameworks, evaluation methods.
- Consulting skills: Excellent stakeholder management, facilitation, and change-management; clear written/verbal communication to technical and non-technical audiences.
Nice to have
- Domain knowledge in enterprise SaaS or industrial/energy data would help you understand context faster.
- Frontend integration experience (React) or chat UX design would be valuable for teams building user-facing AI features.
- Renewable energy domain experience would provide immediate credibility with product teams.
- Experiment design and product analytics skills would strengthen your ability to define success metrics for AI features.
Working model
You will balance two modes of work: contributing to your core team's owned AI features and rotating across product teams as an embedded specialist. When embedded, you will serve as your team's representative, ensuring architectural alignment and reusability, and enable sustainable handoffs so product squads can independently maintain compliant AI features after your engagement. You will work closely with your teammates who may be engaged in similar embedded work with other teams, sharing learnings and maintaining consistency in guidance across the organization.
LIFE @ POWER FACTORS
We are an agile software development company - big enough to make an impact, but small enough to move quickly and execute in a growing industry, taking advantage of rapidly evolving technologies. We are a collective of bold and ingenious talents driven by results. Our team is made up of hard-working, fun-loving people who are passionate about making the world a better place. We seek fierce and humble people to help us achieve our ambitious plan.
WHY JOIN US
By joining the Power Factors team, you'll be part of a dynamic group of innovative and driven individuals dedicated to making a positive impact. Every day, your work will directly contribute to advancing clean energy solutions and supporting global sustainability initiatives. Our culture runs deep and shows up in how we work together - committed, conscientious and collaborative. With many opportunities for professional growth, Power Factors is here to support your development as we lead the charge in transforming the energy industry.
WE ARE AN EQUAL OPPORTUNITY EMPLOYER
Power Factors is an Equal Opportunity Employer committed to engaging a diverse workforce and sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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工作已过期?请告知 Power Factors 您是在 Rejobs 上找到这份工作的。这将帮助我们成长,并让更多人投身于可再生能源工作!
立即申请
工作已过期?请告知 Power Factors 您是在 Rejobs 上找到这份工作的。这将帮助我们成长,并让更多人投身于可再生能源工作!
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关于这个角色
2026年2月27日
全职
公司
2026年2月28日
混合
- 雅典,希腊
5+ years in ML/AI or data-intensive software
UTC+02:00