You'll join a team responsible for building and evolving a next-generation conversational AI platform for the banking sector. The platform combines generative AI, voice technologies, cloud-native services and software engineering practices to deliver secure, scalable and high-quality customer interactions.
You will work closely with software engineers, architects, product owners and business stakeholders to design, implement and continuously improve AI-powered solutions.
− Collaborate closely with delivery team members, cross-functional teams and business stakeholders to deliver complex features on time and to high quality standards.
− Develop and maintain applications using object-oriented Python and AWS AI services such as Bedrock, SageMaker and Guardrails.
− Define functional and non-functional requirements for GenAI solutions, including LLM capabilities, AI Agents and Vector Databases, and contribute to solution concepts and effort estimations for the further evolution of the NGB GenAI platform.
− Analyze and address AI quality challenges, including hallucinations and unexpected bot behaviour, ensuring reliable and trustworthy customer interactions.
− Implement and fine-tune GenAI applications within the NGB solution, working closely with software engineering teams throughout development and testing activities.
− Design, provision and maintain cloud infrastructure using Infrastructure as Code (IaC) principles with Terraform.
− Plan and implement the lifecycle management of Generative AI models and applications following GenAIOps practices.
− Monitor, measure and continuously improve bot performance based on KPIs, user feedback and AI-driven evaluation methods.
− Proven experience developing software solutions with object-oriented Python.
− Strong experience with cloud platforms and managed services, preferably AWS.
− Experience with Infrastructure as Code and Terraform.
− Solid understanding of software engineering principles, testing methodologies and CI/CD practices.
− Experience designing and implementing Generative AI solutions using:
− Large Language Models (LLMs)
− Retrieval-Augmented Generation (RAG)
− Embeddings
− Vector Databases
− AI Agents / Agentic AI
− Experience with prompt engineering and conversational AI applications.
− Experience defining evaluation frameworks and quality assurance processes for LLM-based systems.
− Knowledge of AI security concepts, guardrails and responsible AI practices.
− Ability to work independently while collaborating effectively within agile, cross-functional teams.
− Strong problem-solving skills and an ownership mindset.
− Hands-on experience with AWS Bedrock, SageMaker and AWS Guardrails.
− Experience with observability, monitoring and evaluation frameworks for AI solutions.
− Experience in highly regulated environments.
− Banking or financial services experience.
− Security certifications or security-related expertise.
− University degree in Computer Science, Information Systems or a related field, or equivalent practical experience.
− Generative AI, Machine Learning or Cloud certifications are highly valued.
− AWS Certified AI Practitioner.
− AWS Certified Machine Learning Specialty (or equivalent) is considered a strong advantage.
− English oral and written
− Optional: German oral (and written)
− Willingness to travel
− Hybrid Model: One day a week @office (mandatory)
Just by joining us you will get benefits like:
That’s why our efforts to create innovative and reliable solutions focus on customer requirements. 💛
Want to help shape the yellow future with us? We offer over 100 different job profiles. You can express who you are here and you’ll work in a flexible environment with modern employment conditions and lots of development opportunities. View our vacancies here: www.swisspost.ch/jobs
