Senior AI Engineer
At a glance
Senior AI Engineering role at Jci. Cork-County Cork-Ireland · full-time · no salary stated · we estimate €87,600–€111,675 across Ireland.
Jci has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy machine learning models for forecasting, recommendations, deep learning and LLM applications
- Create LLM use cases for enterprise search, document summaries, conversational systems and knowledge retrieval
- Tune foundation models and assess their quality, speed, cost and risk of fabricated responses
- Work with data and ML engineers on secure pipelines, retrieval-augmented systems and model monitoring
- Lead business workshops and proofs of concept, explain model findings, and mentor AI engineers
What you bring
- A degree in data science, AI, computer science or a related quantitative subject
- At least five years in AI engineering, data science or machine learning, including one to two years with LLMs or generative AI
- A track record deploying machine learning and NLP systems at scale
- Experience with cloud AI platforms such as Azure OpenAI, Azure ML or another listed platform
- Proficiency in Python and SQL, plus practical experience with prompt design, model tuning and LLM orchestration
Who this fits
This senior role suits an AI engineer who can connect advanced modeling work to business needs, communicate findings to non-technical audiences and mentor colleagues. You’ll work in Cork on a hybrid schedule, attending the office three days each week; applicants based elsewhere are expected to relocate.
From the employer
Johnson Controls International (JCI) is seeking a Senior AI Engineer- Data Analytics to join our innovative and impact-driven Data Science and Analytics team. This role is ideal for a seasoned expert with a deep understanding of machine learning, AI, and cloud data platforms, and a strong grasp of the latest advancements in Generative AI and Large Language Models (LLMs).
As a Senior AI Engineer, you will lead the development and deployment of scalable AI solutions—including those powered by LLMs—to accelerate digital transformation across our products, operations, and customer experiences. You'll play a critical role in shaping JCI’s AI engineering strategy, mentoring teams, and driving the use of AI to deliver measurable business value.
As this is a Cork-based hybrid role requiring attendance in the office three days per week, candidates who are not currently based in Cork or the surrounding area would be expected to relocate.
How you will do it
Advanced Analytics, LLMs & Modeling
Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude).
Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models.
Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications.
Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use.
Data Strategy & Engineering Collaboration
Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines.
Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search).
Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management.
Business Impact & AI Strategy
Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges.
Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units.
Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences.
Thought Leadership & Mentorship
Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements.
Mentor and upskill AI engineering team members in advanced AI techniques, including transformer models and generative AI frameworks.
Contribute to strategic roadmaps for generative AI and model governance within the enterprise.
What we look for
Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline.
5+ years of hands-on experience in AI engineering, data science, or machine learning, including at least 1–2 years working with LLMs or generative AI technologies.
Demonstrated success in deploying machine learning and NLP solutions at scale.
Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock.
Technical Expertise
Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), Microsoft Agent Framework, LangChain, PyTorch, and TensorFlow.
Experience with prompt engineering, fine-tuning, and LLM orchestration tools.
Familiarity with data storage, retrieval systems, and vector databases.
Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics.
Leadership & Soft Skills
Strategic thinker with a strong ability to align AI initiatives to business goals.
Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics.
Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams.
Preferred Qualifications
Experience with IoT, edge analytics, or smart building systems.
Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks.
Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.
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