Field AI Engineer: Build Production-Ready Data & Automation

Capgemini; Opfikon; Hybrid; CHF 110.000 - 145.000; Vollzeit

Benefits dieser Stelle

5 weeks vacation

Employee referral bonus

Company shares program

Fitness subscription

Zusammenfassung

Capgemini Invent is seeking a Forward Deployed Engineer to embed with client teams and turn complex business problems into production-ready AI, data and automation solutions in Switzerland. You will prototype, test, deploy and scale using code and low-code platforms, while collaborating with business stakeholders and technical teams.

We value 2-4 years of experience in AI, data or automation, strong Python/TypeScript skills, and familiarity with Azure and workflow tools.

Qualifikationen

• 2-4 years of experience building and deploying AI, data, automation or software solutions.
• Experience in consulting, technology or an innovation-driven enterprise is a plus.
• Experience working directly with business stakeholders, end users and technical teams.

Aufgaben

• Partner with client teams to understand business challenges, operational workflows, user needs and technical environments.
• Identify high-value opportunities and translate business needs into clear AI, data and automation solutions.
• Design, build and integrate agents, applications, workflows, data products and AI-enabled solutions.
• Rapidly prototype, test, deploy and scale solutions using code, low-code platforms and partner technologies.
• Drive adoption, measure business value and continuously improve solutions while contributing reusable assets and accelerators.

Kenntnisse

Python

TypeScript

CI/CD

Git

Tools

Microsoft Azure

n8n

Power Automate

LangGraph

OpenAI SDKs

GitHub Copilot

Jobbeschreibung

Capgemini Invent is seeking a Forward Deployed Engineer to embed with client teams and turn complex business problems into production-ready AI, data and automation solutions in Switzerland. You will prototype, test, deploy and scale using code and low-code platforms, while collaborating with business stakeholders and technical teams.

We value 2-4 years of experience in AI, data or automation, strong Python/TypeScript skills, and familiarity with Azure and workflow tools.