GenAI Solutions Architect (Hybrid in Greece) at Power Factors

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Machine Learning, Software Engineering, Python, TypeScript, Java, API, Microservices, Cloud Computing, Data Modeling, Prompt Engineering, Stakeholder Management, Consulting, Data Quality, Containerization, Performance Optimization

Industry

Software Development

Description

ABOUT POWER FACTORS 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.

Responsibilities

The role involves building AI capabilities and embedding governance within product teams to ensure compliance with architectural standards. The candidate will also design production-grade solutions and manage data retrieval processes.