CAIRN.

Lead Forward-Deployed Engineer (Data Application)

EPAM Systems (Switzerland) GmbH

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Données OFS 2024 —

11'110 CHF / mois

Fourchette : 8'551 – 16'988 CHF (P25–P75), brut avant charges.

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We're looking for a Lead Forward-Deployed Engineer (Data Applications) to join our team in Broader Zurich area, Switzerland in a hybrid working mode. This role offers an opportunity to shape AI-driven development practices by creating rapid, intelligent prototypes that accelerate delivery. You will collaborate directly with business and product stakeholders to turn ideas into functional application concepts that transition seamlessly into production-ready builds.

Responsibilities
Work directly with client business and product owners to scope new application features and create rapid prototypes
Use AI natively throughout development, including code generation, automated testing, and iterative build
Build, refine, and deliver functional prototypes with a focus on short feedback loops
Prepare validated prototypes for transfer into standard build processes with engineering teams
Evaluate and confirm technical feasibility of new application features adopting AI-native approaches
Act as a primary technical contact for client teams during early-stage development phases
Contribute AI-native engineering practices and reusable patterns to internal teams
Requirements
8+ years of experience, including 3+ years in rapid prototyping, forward-deployed, or solutions-engineering roles
Hands-on experience with AI-native application development, including code generation and agentic coding assistants
Strong proficiency in rapid prototyping using Python
Excellent client-facing technical communication skills
Familiarity with Anthropic Claude or AWS AI Practitioner certification
Experience with AWS Data Services
English proficiency at B2 level or higher
Nice to have
Solid understanding of application and API design for new features
Knowledge of Amazon Bedrock or AgentCore
Experience with LangChain or other agent-orchestration frameworks
Working knowledge of Snowflake or ClickHouse
Background in prompt engineering

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