AI Engineer - Agentic Systems

At Digital and Data Solutions (DDS), we develop innovative software and
data-driven solutions that help customers solve complex challenges in energy,
infrastructure, and sustainability. Together, we combine technology and trusted
expertise to create lasting impact and accelerate the transition to a more
sustainable world.

We are looking for an AI Engineer specializing in agentic systems to help
design, build, productise, and evolve generative AI capabilities within Horizon,
cloud platform for renewable energy asset monitoring, analytics, optimisation,
and decision support. 

This is a hands-on, product-focused engineering role. You will build
production-grade AI agents that interact with Horizon data, analytics,
algorithms, APIs, documentation, and operational workflows. The focus will be on
building a role-based multi-agent system supporting users such as Asset
Managers, Asset Owners, O&M Managers, Traders, and Analysts. 
 

What You’ll Do 

* Design and implement a scalable architecture for role-based AI agents,
including agents supporting Asset Management, Asset Ownership, O&M,
predictive maintenance, trading, and analytical workflows. 
* Define agents responsibilities, tools, interaction patterns, task delegation,
context sharing, and hand-offs between specialised agents. 
* Integrate agents with diverse Horizon data sources, including operational
time-series data, alarms, events, asset metadata, analytical results,
forecasts, reports, logbooks, and technical documentation. 
* Build evaluation frameworks and representative test datasets covering answer
quality, groundedness, tool selection, workflow completion, hallucination
risk, safety, regression, latency, and operational reliability. 
* Implement observability and traceability across agent execution, including
prompts, retrieved context, tool calls, model responses, decisions, failures,
and user feedback. 
* Deploy and operate AI services in production, working with software and
platform engineers. 
* Collaborate with renewable energy domain experts to ensure that agent outputs
are technically meaningful, evidence-based, and appropriate for operational
decision-making. 
* Stay informed about developments in LLMs, agent orchestration, multimodal
systems, evaluation, and AI engineering, and assess them pragmatically for
production use. 

 

What makes this role exciting: you’ll take cutting-edge agent-based systems out
of the lab and into production, building AI that directly supports the operation
and optimization of renewable energy assets at global scale.


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.