Metsi Technologies

Technical Staff AI Architect, GenAI

Metsi Technologies

full-time

Posted on:

Location Type: Office

Location: Cork • 🇮🇪 Ireland

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Job Level

Lead

Tech Stack

AirflowAWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesPython

About the role

  • Lead our AI/GEN AI initiatives
  • Responsible for architecting AI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact
  • Transform our Customer Support business towards a fully autonomous agentic AI system
  • Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
  • Design, develop, and implement AI agents capable of autonomous decision-making and action
  • Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
  • Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
  • Collaborate within a dynamic, collaborative environment

Requirements

  • 15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
  • Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
  • Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments;
  • Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
  • Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure);
  • Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
  • Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
  • Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency.
  • Familiarity with large scale data handling when dealing with telemetry systems.
  • Publication of research papers, patents, or contributions to open-source projects.
  • Recognition as a thought leader in AI, ML, or NLP fields is highly valued.
Benefits
  • Your life. Your health. Supported by your benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AIGEN AImachine learningdeep learninglarge language modelsPythonETL pipelinesdata warehousingmulti-agent systemsgraph-based techniques
Soft skills
leadershipinnovationmentoringcollaborationthought leadership
Certifications
PhDMaster's degree