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Full-time
Posted 27d ago
~40 hrs/week
Responsibilities
Define and enforce enterprise architecture standards across all product verticals to ensure scalability, reliability, and AI-native capability. This hands-on role involves prototyping complex technical solutions, leading architectural reviews, and optimizing engineering productivity through AI tooling.
Requirements
Requires 15-20 years of software engineering experience with a proven track record in enterprise architecture and shipping AI-based products. Candidates must be hands-on coders with expertise in IoT, cloud platforms (GCP/AWS), and high-throughput transactional systems.
Full job 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
Power Factors is scaling in complexity — more products, more platforms, more sophisticated buyers, and rapidly rising expectations for AI-native capability across our renewable energy software suite. In that context, the absence of a single, accountable technical vision creates real risk: divergent architectural patterns across verticals, inconsistent approaches to AI and data platform investment, and technical debt that compounds faster than it can be paid down.
The Head of Software Architecture exists to close that gap. This is a hands-on, deeply technical leadership role responsible for defining and enforcing enterprise architecture standards across Power Factors' Product & Technology organization — spanning Platform, SCADA, EMS, APM, CloudOps, and CAM/FSM/Product Ops — while personally architecting and prototyping the hardest problems the organization faces, particularly around AI-based product introductions, IoT data acquisition, and multi-tenant SaaS scalability.
This role combines the strategic scope of an enterprise architect with the credibility of a builder who still writes code, reviews pull requests, and is comfortable being the most technical person in the room.
Purpose of the Role
The Head of Software Architecture acts to define, evangelize, and enforce a coherent technical architecture strategy that allows Power Factors to scale product complexity without sacrificing reliability, security, or development velocity.
Enterprise-wide architectural coherence: Technical decisions across verticals are grounded in shared architectural principles, not siloed team preferences.
AI-native product development: New AI-based product capabilities are architected end-to-end — from data pipeline to model integration to user-facing experience — rather than bolted on.
Development velocity multiplication: Engineering teams are equipped with modern AI-assisted development tooling and workflows that materially increase throughput.
Deep technical credibility: Engineering leaders and individual contributors alike see this role as a working architect, not a slide-deck strategist.
Domain-informed design: Architecture decisions reflect genuine understanding of renewable energy operations — SCADA, EMS, PPC, edge devices, and grid-facing data systems.
This role acts as the connective tissue between the CPTO's organizational strategy and the day-to-day technical decisions made by vertical engineering teams.
Core Responsibilities1. Enterprise Architecture & Complex System Design
Define and maintain Power Factors' enterprise architecture standards, reference architectures, and technical guardrails across all verticals
Lead architectural reviews for major initiatives, ensuring consistency, scalability, and long-term maintainability
Own the technical roadmap for cross-cutting platform capabilities (data platform, integration layer, identity, observability)
Design for complex, high-availability systems where correctness, latency, and data integrity carry real operational and commercial consequences
Partner with vertical leaders (SCADA, EMS, APM, Platform, CloudOps) to ensure local architecture decisions align with enterprise direction
2. Technical Team Leadership
Build and lead a distributed architecture function that operates as a trusted technical authority across Greece, Montreal, and other regions
Mentor senior engineers and engineering leaders on architectural judgment, system design, and technical tradeoff analysis
Establish and run architecture governance forums (design reviews, RFC processes, technical steering committees)
Act as a technical escalation point for the highest-stakes design decisions across the organization
3. AI-Based Product Architecture & Delivery
Architect and personally help build end-to-end AI-based product capabilities — from data acquisition and model selection through deployment and monitoring
Define Power Factors' architectural approach to LLM-based products, including use of Model Context Protocol (MCP), retrieval architectures, and agentic workflows
Evaluate and select development LLMs and AI platforms appropriate for embedding into commercial products
Own the technical bridge between REMI and other AI-native initiatives and the broader platform architecture
Bring machine learning and data science expertise to bear on product decisions — model selection, feature engineering, data pipeline design, and MLOps practices
4. Hands-On Development
Write production code, prototype new architectural patterns, and directly contribute to the hardest technical problems facing the organization
Lead by example on code quality, testing discipline, and engineering craftsmanship
Stay close enough to the codebase to make credible, current architectural judgments rather than relying on secondhand reporting
Build proof-of-concept implementations to de-risk major architectural bets before full team investment
5. IoT, Edge, and Industrial Systems Architecture
Architect scalable IoT data acquisition systems capable of ingesting, normalizing, and processing high-volume telemetry from distributed renewable energy assets
Design architecture for edge devices and Power Plant Controllers (PPC), balancing on-site computation, latency constraints, and cloud connectivity
Ensure architectural approaches account for grid code compliance, real-time control requirements, and the operational realities of SCADA and EMS environments
Apply renewables and energy industry domain knowledge to inform data model, integration, and control system design decisions
6. Cloud, SaaS, and Multi-Tenant Architecture
Own cloud architecture strategy across GCP and/or AWS, including cost, resilience, and security posture
Advance Power Factors' multi-tenant SaaS architecture to support scale, tenant isolation, and configurability without fragmenting the codebase
Define architectural standards for mobile app development where products extend to field and operations use cases
Evaluate build-vs-buy and platform consolidation decisions across the technology stack
7. Engineering Productivity & AI-Enabled Development
Identify, evaluate, and roll out AI development tools that enable a 3–4x productivity improvement across engineering teams
Define best practices for AI-assisted coding, testing, and code review, balancing speed with quality and security
Partner with engineering leadership to measure and report on productivity gains from AI tooling adoption
Reporting & Operating ModelReporting Line
Reports to: Chief Product & Technology Officer (CPTO)
Product Management and Product Marketing on AI-based product introductions
CloudOps and Security on infrastructure and compliance posture
Operating Principles
Architecture in service of the business, not architecture for its own sake
Hands-on credibility over theoretical authority
Pragmatic standardization — enough consistency to scale, not so much it stifles teams
AI-first thinking applied responsibly, with attention to data quality, safety, and reliability
Skills & ProfileRequired Experience
15–20 years of progressive experience in software engineering, with significant time spent in architecture and technical leadership roles
Enterprise Architecture & Complex System Design: demonstrated experience architecting large-scale, high-complexity systems with significant operational stakes
Technical Team Leadership: proven ability to lead and mentor senior engineers and architects across distributed teams
Trading/Transactional Systems: experience building high-throughput, high-integrity trading or transactional systems where correctness and performance are non-negotiable
AI Product Delivery: track record architecting and shipping end-to-end AI-based product introductions, from concept to production launch
Hands-On Development: an architect who still codes — genuinely enjoys building, not just designing
IoT Data Acquisition: experience with systems that ingest and process high-volume telemetry from distributed physical assets
Edge Devices & Power Plant Controllers (PPC): familiarity with edge computing architectures and industrial control systems
Renewables / Energy Industry Experience: ideally direct experience in renewable energy or broader energy sector software (strongly preferred, not required)
Machine Learning & Data Science: solid working knowledge sufficient to make informed architectural and platform decisions
MCP & LLM-Based Products: hands-on experience with Model Context Protocol, development LLMs, and building LLM-based product features
Cloud Platforms: deep experience with GCP and/or AWS at an architectural level
AI Development Tooling: experience selecting and rolling out AI dev tools that meaningfully increase engineering team productivity
Mobile App Development: working knowledge of mobile architecture and delivery, sufficient to guide teams building mobile experiences
Core Capabilities
Strong systems thinking with the ability to zoom between enterprise strategy and line-level code
Executive-level communication — able to translate architectural tradeoffs into business terms for the CPTO and executive team
Comfortable operating with significant technical authority while remaining collaborative and low-ego
Genuine enthusiasm for staying current with the fast-moving AI and LLM landscape
Background Fit
Principal Engineer, Distinguished Engineer, VP of Engineering, or Chief Architect background
Experience operating in a scaling, multi-product SaaS organization
Comfortable being both the enterprise architecture authority and an individual contributor when the problem demands it
Success Metrics (KPIs)
Number of AI-based product capabilities architected and shipped to production per year
Measured productivity gains (velocity, cycle time) attributable to AI development tooling rollout
Reduction in cross-vertical architectural inconsistency and duplicated platform investment
System reliability and performance metrics for enterprise-critical and transactional systems
Adoption rate of architectural standards and reference designs across engineering teams
Qualitative 360° feedback from engineering leaders on technical leadership effectiveness
What This Role Is Not
This role is not a purely strategic or advisory position removed from the codebase, and it is not a people-management role focused primarily on process and reporting. The Head of Software Architecture is expected to remain a credible, hands-on technical contributor throughout their tenure.
The role also does not own product roadmap prioritization or commercial strategy — those remain with Product Management and the CPTO — but it directly shapes what is technically possible and how quickly it can be delivered.
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. We are a team of bold and ingenious talents driven by results. We 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
Related keywords
Unity REMSSCADAEMSAPMCloudOpsIoTEdge ComputingPPCLLMModel Context ProtocolMLOpsMulti-tenancySaaSGCPAWSRenewable Energy
To optimize every kWh of renewable energy with integrated technology from the sensor to the cloud
Industry
Software Development
Company size
501-1,000 employees
Founded
2013
Headquarters
Waltham, Massachusetts
LinkedIn followers
23,482
Power Factors delivers renewable energy asset management software for global portfolios.
Its Unity platform brings together SCADA, EMS, APM, O&M, and commercial asset management in a single suite — giving operators a unified system from monitoring and controls through technical and financial performance.
Powered by generative AI, Unity helps renewable energy teams act on real-time signals, automate workflows, and optimize returns at scale.
Power Factors manages 25% of the world's renewable energy data in the markets it serves — 310+ GW across 600+ customers, 18,000+ sites, and 70+ countries.
From independent power producers to large utilities, Power Factors supports the entire renewable energy value chain across solar, wind, and storage.
Offices: 330 Bear Hill Road, Suite 302, Waltham, Massachusetts 02451 , US · 7005, Boul. Taschereau, Suite 350, Brossard, Quebec J4Z 1A7, CA · 48 Ethnikis Antistaseos & Serron, Chalandri, 152 31, GR · Östra Hamngatan 16, Floor 4, Göteborg, 411 09, SE · Avenida de la Constitución 27, 3ºC, Seville, 41004, ES