Senior Voice AI Architect for Enterprise AI

Neurons Lab LTD.; Granada; On-site; EUR 90,000 - 120,000; Full time

Job summary

Kyndryl is seeking a Senior Data Scientist to design, develop, and deploy advanced AI solutions across the enterprise. You will work across generative AI, LLMs, RAG, embeddings, and agentic AI while collaborating with a multidisciplinary team.

You will lead ML model development, deployment, monitoring, and continuous improvement, translating business challenges into technical AI outcomes with strong stakeholder engagement.

Qualifications

• Education and professional experience in Data Science, ML, or AI development.
• Strong Data Science foundations with statistical methods and learning.
• Hands-on experience with LLMs, embeddings, RAG, and evaluation.
• Practical knowledge of AI agents, orchestration, and tool integration.
• Proficiency in Python and ML libraries for model development.
• Experience across AI lifecycle including deployment and monitoring.
• Ability to translate business challenges into technical AI solutions.
• Excellent collaboration and communications with stakeholders.

Responsibilities

• Translate complex business needs into AI/DS solutions delivering measurable value.
• Explore and evaluate emerging AI methodologies and architectures.
• Define AI use cases with clients and communicate findings clearly.
• Design and implement Generative AI apps using LLMs and RAG techniques.
• Develop predictive and analytical models using ML/DL methods.
• Develop intelligent agents and multi-agent systems with oversight.

Skills

Data Science fundamentals

Generative AI & LLMs

Agentic AI development

Python & AI libraries

Communication & collaboration

Education

Bachelor's or Master's in CS/AI/Math/Stats/Engineering

Tools

Python

PyTorch

TensorFlow

Scikit-learn

Hugging Face

Job description

Kyndryl is seeking a Senior Data Scientist to design, develop, and deploy advanced AI solutions across the enterprise. You will work across generative AI, LLMs, RAG, embeddings, and agentic AI while collaborating with a multidisciplinary team.

You will lead ML model development, deployment, monitoring, and continuous improvement, translating business challenges into technical AI outcomes with strong stakeholder engagement.