Lead AI Engineer

Description :

Role & responsibilities :

Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities :

- Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)

- Build scalable data pipelines and feature engineering workflows using structured and unstructured data

- Integrate AI capabilities into enterprise platforms via APIs and microservices.

- Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.

- Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.

- Implement model monitoring, governance, and performance optimization aligned to enterprise standards.

- Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.

- Experience working with wealth management data (clients, portfolios, transactions)

- Understanding of data flows from core banking systems such as Avaloq

- Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience :

Primary :

- Python (mandatory)

- ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn)

- GenAI / LLM frameworks (LangChain, OpenAI, etc.)

- AWS (S3, Lambda, SageMaker, Bedrock)

Secondary :

- Data engineering (ETL pipelines, feature stores)

- API development

- Vector databases / embeddings