Lead AI-Native Prototyping Engineer - Hybrid (Switzerland)

EPAM Systems, Inc.; Zürich; Hybrid; CHF 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

5 weeks vacation

ESPP

Enhanced parental leave

Extended pension plan

Sickness insurance

Training & certifications

Zusammenfassung

EPAM Systems, Inc. in the Zurich area is seeking a Lead Forward-Deployed Engineer (Data Applications) to drive AI-native development through rapid prototypes and production-ready builds in a hybrid work model.

You will collaborate with business and product stakeholders to scope features, generate code with AI-assisted tools, and validate feasibility before transferring prototypes into standard engineering processes. Strong client-facing communication is essential.

Qualifikationen

• 8+ years of overall experience, including at least 3 years in rapid prototyping or forward-deployed roles.
• Strong proficiency in AI-native application development, including code generation and agentic coding assistants.
• Solid understanding of application and API design principles for new features.
• Excellent client-facing technical communication skills.
• Familiarity with Anthropic Claude or AWS AI Practitioner.

Aufgaben

• 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.
• Prepare validated prototypes for transfer into standard build processes with engineering teams.
• 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.

Kenntnisse

AI-native development

Code generation

Python programming

API design

Agent orchestration

LangChain

Prompt engineering

Client communication

Snowflake/ClickHouse

Tools

Anthropic Claude

AWS AI Practitioner

Amazon Bedrock

LangChain

Jobbeschreibung

EPAM Systems, Inc. in the Zurich area is seeking a Lead Forward-Deployed Engineer (Data Applications) to drive AI-native development through rapid prototypes and production-ready builds in a hybrid work model.

You will collaborate with business and product stakeholders to scope features, generate code with AI-assisted tools, and validate feasibility before transferring prototypes into standard engineering processes. Strong client-facing communication is essential.