Cto
Cambridge
C10 Labs
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CTO
NRGCO, a C10 Labs incubated company, is building autonomous AI agents to monitor, optimize, and protect critical infrastructure—power plants, data centers, power grids, water systems, and mobility networks—against climate and operational risks. Think intelligent systems that reason, self-heal, and act in real time across the edge-cloud continuum.
We’re looking for a founding CTO to architect and lead our AI platform, bringing together multi-agent systems, real-time data pipelines, and frontier models (LLMs, graph AI, digital twins). You’ll set the technical roadmap, build and scale the core engineering team, and shape NRGCO’s product into a category-defining resilience platform.
Department: Studio
Employment Type: Full Time
Location: Cambridge
Description
NRGCO, a C10 Labs incubated company, is building autonomous AI agents to monitor, optimize, and protect critical infrastructure—power plants, data centers, power grids, water systems, and mobility networks—against climate and operational risks. Think intelligent systems that reason, self-heal, and act in real time across the edge-cloud continuum.
We’re looking for a founding CTO to architect and lead our AI platform, bringing together multi-agent systems, real-time data pipelines, and frontier models (LLMs, graph AI, digital twins). You’ll set the technical roadmap, build and scale the core engineering team, and shape NRGCO’s product into a category-defining resilience platform.
What you will do:
- Technology Strategy & Architecture: (i) Define and lead the technical vision and roadmap of the company’s AI platform. (ii) Architect a scalable, secure, and high-performance AI/ML infrastructure for large-scale enterprise deployment. (iii) Oversee the development of a unified data model, model-driven architecture, and reusable microservices architecture
- Platform Leadership: Architect and evolve agentic autonomy across compute, energy, and infrastructure domains using LLMs, graph AI, digital twins, and control systems.
- Systems Integration: Oversee real-time agent orchestration, sensor/actuator pipelines, workload and energy optimisation.
- Reliability & Scale: Build enterprise-grade infrastructure achieving "five‑9s" reliability—breaking silos between diagnostics, mitigation, and prevention.
- Team & Culture: Grow engineering, research, and infra teams, instilling a mission-driven, agile mindset.
- Innovation & AI Thought Leadership: Evaluate emerging technologies (LLMs, multi-agent systems, edge AI, MLOps, etc.) for integration into the platform.
- Strategic Partnerships: Lead tech due diligence and collaboration with industry leaders
Who you are:
- Proven experience of 10+ years in senior R&D/platform roles—cloud infrastructure, AI systems (LLM-level), or real-time operations, with at least 4+ years in a startup environment.
- Proven track record in architecting self-healing, distributed systems with microservices, containerization, and edge-to-cloud orchestration.
- Passion for climate tech, sustainability, and mission-critical engineering.
- Outstanding technical leadership and communication—able to inspire investors, regulators, and enterprise customers.
- Startup or founding team experience, having brought a product from 0→1
- MS/Ph.D. in Computer Science/Engineering, Operations Research, or AI.
- Experience building and leading high-caliber, globally distributed engineering teams.
- Background at a company similar to C3.ai, GE
- Vernova, Siemens Energy, XMPRO, Snowflake, or other enterprise AI/data platforms
- Prior experience with energy, data centres, utilities, or industrial applications of AI.
- Open-source contributions or patents in AI, software engineering, or enterprise systems.
Why join us:
We are on a mission to drive enterprise transformation through AI at scale. As CTO, you will have a front-row seat in shaping the future of AI for Climate and Energy. Join us to lead innovation that matters—both technically and socially.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Architecture Jobs
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Tags: Agile Architecture Computer Science Data pipelines Distributed Systems Engineering Industrial LLMs Machine Learning Microservices ML infrastructure MLOps Open Source Pipelines R R&D Research Snowflake
Region:
Europe
Country:
United Kingdom
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