Applied HR AI Lead

Deine Zukunft beginnt hier

As our Applied HR AI Lead, you will lead the design, development, and deployment of AI solutions that leverage both traditional machine learning and cutting-edge generative AI techniques within HR. This role is hands-on and influential, partnering across the HR teams in Italy and Switzerland to deliver impactful, reliable AI applications; also supporting project management or vendor evaluation where necessary. You will also ensure security, governance & compliance and work hands-on to ship MVPs in a lean environment, leveraging the Group’s AI CoEs or targeted contractors where needed.

• Lead end-to-end design and implementation of AI apps (LLMs, RAG, agents) for HR use cases using both ML and LLM-based approaches.

• Guide integration of APIs and frameworks with Workday, SAP and other HR and enterprise applications.

• Define and implement MLOps practices for CI/CD, observability, model/version lifecycle, and safe rollout/rollback.

• Build retrieval-augmented generation pipelines with appropriate vector stores (e.g., OpenSearch, Pinecone, pgvector/FAISS). Fine-tune foundation models (e.g., with LoRA, PEFT) if necessary.

• Implement evaluation frameworks for both predictive and generative systems (grounding, hallucination, safety, fairness).

• Ensure security, privacy, and compliance across data and models, including GDPR and internal AI governance

• Partner with HR teams, HR Technology, People Analytics teams, central IT (platforms/security), and the Group AI CoE/vendors for build sprints and vendor assessments.

• Communicate complex AI topics clearly to non-technical stakeholders; advocate a product mindset and MVP-to-scale approach.

Your background

• Education: Bachelor’s or Master’s degree in Business Informatics/ Information Management, Computer Science, Data Science, or a related field.

• Proficiency in Python with ML/LLM toolchains (e.g., PyTorch/TensorFlow, LangChain/LlamaIndex/Semantic Kernel)

• Hands-on experience with RAG pipelines, agentic workflows, and vector search (e.g., FAISS, Pinecone, OpenSearch)

• Cloud and MLOps expertise (AWS/Azure, Docker/Kubernetes, CI/CD, monitoring/telemetry, model registries)

• Systems integration across enterprise/SaaS platforms (HRIS, collaboration suites, ticketing) and secure API design

• Strong project management capabilities (roadmapping, agile delivery, vendor management, budgeting)

• Solid understanding of data security, privacy, and responsible AI practices (GDPR, DPIAs, guardrails, red-teaming)

• Excellent communication and stakeholder management; ability to translate complex topics into actionable plans

• Fluent English; German or Italian is a plus

As a Swisscom employee, you can look forward to a variety of attractive benefits that will enrich your work experience. These include a pleasant working environment, financial benefits and exciting opportunities for professional development. Discover your Benefits.