celonis
Munich, Germany
Full-time
Remote
about 12 hours ago
<div class="content-intro"><p>Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — whi…
Senior AI Engineer
£75,000 - £95,000
King's Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Design and implement end-to-end AI systems that deliver business impact.
Build and deploy LLM-powered and agent-based solutions from concept through to production.
Contribute to technical architecture and engineering best practices.
Develop reusable components, frameworks, and patterns across multiple AI use cases.
Make informed decisions on models, tooling, infrastructure, and system design.
Ensure AI solutions are scalable, observable, secure, and production-ready.
Support evaluation, monitoring, and governance processes for deployed AI systems.
Provide technical guidance and mentorship to engineers contributing to AI projects.
Strong commercial experience delivering production-grade AI systems.
Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
Experience designing and implementing complex AI solutions across multiple domains.
Knowledge of agentic AI systems and multi-step workflows.
Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
Ability to solve problems in evolving and ambiguous environments.
Experience influencing engineering standards and contributing to technical excellence.
Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
Experience working within enterprise or regulated environments would be beneficial.
Salary between £75,000 - £95,000 - depending on experience
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
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