SCON_AI Engineer_Zurich

Infosys; Zürich; Vor Ort; CHF 100’000 - 130’000; Vollzeit

Zusammenfassung

A global digital services firm is seeking a Senior AI Engineer in Zurich. The role focuses on developing AI solutions and collaborating with cross-functional teams. Ideal candidates will have extensive experience in Gen AI and ML, strong analytical skills, and proficiency in Python with AI/ML frameworks. The position offers competitive compensation with a bonus structure.

Leistungen

Competitive compensation

Bonus structure

Qualifikationen

• Experience in Gen AI/Agentic AI environments.
• Strong knowledge of ML automation and MLOps.
• Ability to transform business problems into analytical solutions.

Aufgaben

• Develop and deploy solutions tailored to client needs.
• Collaborate with product and engineering teams.
• Drive efficiencies and business benefits.

Kenntnisse

Gen AI

Agentic AI

Classic ML

Prompt Engineering

Python (AI/ML frameworks)

Tools

Azure AI Foundry

AWS Bedrock/Sagemaker

GCP Vertex AI

MLflow

Docker

Kubernetes

Jobbeschreibung

Overview

Role – Senior AI Engineer(Senior Consultant). Technology – AI/ ML/ Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP. Location – Zurich, Switzerland. Business Unit – TOPAZDLVRY. Compensation – Competitive (including bonus).

Job Description

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

Your role

As a Senior Consultant, you are an expert at contributing to Gen AI/ Agentic AI ecosystem solutioning for our esteemed clientele in Europe. You will play a vital role in carving out solutions - develop, configure and deploy - specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will be pivotal to problem definition and discovery of the overall solution and guide teams on project processes, deliverables. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required

• Experience and good understanding of Gen AI, Agentic AI, classic ML and automation space
• Experience and good understanding of Prompt engineering, RAG pipelines, Supervised/ unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).
• Experience in architecting and scaling GenAI chatbots.
• Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler
• Good understanding of Responsible AI principles
• Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions
• Strong articulation, stakeholder management and consulting skills
• Experience driving productivity and cost optimisations
• Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI / Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).

Preferred

• Delivered AI projects within Agile frameworks
• Experience on Model Feedback Analysis, topic modelling, sentiment analysis
• Knowledge of AgentOps and OpenTelemetry
• Understanding of Network Security Concepts, Network Telemetry and Analytics

Personal

• High analytical skills
• A high degree of initiative, flexibility and adaptability
• High customer orientation
• Good team engaging skills
• Quality awareness
• Good verbal and written communication skills
• Transparency and Integrity
• Taking accountability

About Topaz CoE

Topaz Centre of Excellence is the Central AI and automation evangelisation unit at Infosys. Our vision is to enable Infosys towards delivering exponential value to customers through AI driven differentiation across all horizontal and vertical services, leveraging our internal as well as our partner capabilities. We enable Infosys towards an AI First Organization and to establish Infosys as a Market Leader in AI and Gen AI space. We help clients define roadmaps and realize productivity gains and business benefits through Automation, AI and Gen AI. Our AI-first set of services, solutions and platforms using generative AI technologies help amplify the potential of humans, enterprises and communities to create value from unprecedented innovations, pervasive efficiencies and connected ecosystems. Our CoE brings the advantage of 12,000+ AI assets, 150+ pre-trained AI models, 10+ AI platforms steered by AI-first specialists and data strategists, and a ‘responsible by design’ approach that is uncompromising on ethics, trust, privacy, security and regulatory compliance.

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in over 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise and ideas from our innovation ecosystem.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

Country Switzerland

State / Region / Province Zurich

Work Location Zurich

Interest Group Infosys Limited

Company ITL Switzerland

Role Designation 2015ASRCON Senior Consultant