Lead AI-Native Prototyping Engineer, Data Apps

EPAM Systems (Switzerland) GmbH

Zürich

Hybrid

CHF 150,000 - 190,000

Full time

3 days ago
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Job summary

EPAM Systems (Switzerland) GmbH in the Zurich area seeks a Lead Forward-Deployed Engineer (Data Applications) to shape AI-driven development by creating rapid prototypes that accelerate delivery and transition to production-ready builds.

You will collaborate with business and product stakeholders to scope features, build prototypes, and ensure smooth handover to engineering teams, adopting AI-native approaches for feasibility and delivery.

Qualifications

  • 8+ years of experience in roles like rapid prototyping, forward-deployed, or solutions-engineering.
  • Hands-on experience with AI-native application development and code generation.
  • Excellent client-facing technical communication skills.
  • English proficiency at B2 level or higher.

Responsibilities

  • Scope new features and rapid prototypes with client business and product owners.
  • Use AI natively throughout development, including code generation, automated testing, and iterative builds.
  • Build, refine, and deliver functional prototypes with short feedback loops.
  • Prepare validated prototypes for transfer into standard build processes with engineering teams.
  • Evaluate technical feasibility of features adopting AI-native approaches.

Skills

AI-native dev
Rapid prototyping
Client-facing
Python
Prompt engineering
LangChain
Agent orchestration

Education

Bachelor's degree from a university of applied sciences or equivalent

Tools

Snowflake
ClickHouse
Bedrock

Job description

EPAM Systems (Switzerland) GmbH in the Zurich area seeks a Lead Forward-Deployed Engineer (Data Applications) to shape AI-driven development by creating rapid prototypes that accelerate delivery and transition to production-ready builds.

You will collaborate with business and product stakeholders to scope features, build prototypes, and ensure smooth handover to engineering teams, adopting AI-native approaches for feasibility and delivery.

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