AI Senior Lead Engineer

About the job

Company Description

Talan is an international consulting and technology expertise group that supports and accelerates the digital transformation of its clients through technology, data and innovation levers.

For over 20 years, Talan has been advising and supporting companies and public institutions in defining and implementing their transformation and innovation projects in Switzerland and internationally.

Present on 5 continents in 21 countries, the Group, certified Great Place To Work, has more than 7000 employees.

Equipped with a Research and Innovation Centre, Talan places innovation at the heart of its development and operates in areas of technological change such as Artificial Intelligence, Data Intelligence, Blockchain, to serve the growth of large groups and mid-sized companies in a committed and responsible approach.

By placing "Positive Innovation" at the heart of its strategy, Talan is convinced that technology amplifies its impact on society as a whole by being at the service of humanity.

#TalanSwitzerland

Job Description

We are looking for an AI Senior Lead Engineer to provide technical leadership and oversee the design, development and deployment of large-scale Artificial Intelligence and Data solutions.

You will be responsible for defining the architecture, AI roadmap and coordinating technical teams to ensure robust, scalable and industrialised solutions.

🚀 Your responsibilities

• Define and manage the AI roadmap.

• Design and deploy entity extraction (NER) and document classification solutions.

• Develop and industrialise Data & AI architectures.

• Design and implement institutional ontologies and Knowledge Graphs.

• Deploy large-scale data processing pipelines.

• Ensure data quality, traceability and auditability.

• Coordinate internal teams, partners and consultants.

• Ensure technical follow-up and production deployment of solutions.

Qualifications

🧠 Required skills and experience

• Strong expertise in Data Engineering and Artificial Intelligence.

• Excellent command of Python.

• Experience with Docker, Kubernetes, Message Queues and Data Pipelines.

• Proficiency in databases, APIs and Model Serving (FastAPI or equivalent).

• Experience with Triplestores and SPARQL (GraphWise / OntoText).

• Knowledge of property graphs: Neo4j, Cypher.

• Experience with semantic and keyword search engines.

• Experience in production of NER models, classification and multilingual document processing.

• Experience processing millions of documents in an On-Premise environment.

• Experience with Agile / SAFe methodologies.

• Ability to define Data & AI architectures and coordinate technical teams.

⭐ Additional appreciated skills

• Knowledge of archival standards: OAIS, RiC-O.

• Experience implementing business ontologies.

• Experience in Knowledge Graphs.

• Knowledge of RAG (Retrieval Augmented Generation) architectures.

• Experience in OCR and handwriting recognition.

• Image annotation and metadata quality management.

• Experience with Vector Databases.

• Sensitivity to Security by Design principles.

Additional Information