Senior AI-Native Forward Deployed Engineer

EPAM is a leading global provider of digital platform engineering and software development services, with two offices in Switzerland (Zurich, Geneva). We are currently seeking a highly skilled and proactive Senior AI-Native Forward Deployed Engineer to join our team in Luzern, Switzerland, in a hybrid working mode. In this role, you will partner directly with business stakeholders and engineering teams to design and deliver AI-native solutions while enabling client organizations to integrate AI technologies across software development and operational processes. This role combines product mindset, architecture and engineering execution, shifting delivery from traditional coding toward AI-driven specifications, agent orchestration and delivery-as-code approaches.

Responsibilities

Own business problems from discovery through delivery, converting requirements into AI-driven specifications, workflows and architectures

Design and implement solutions using AI-first and agent-based architectures to enable development driven by prompts, context and orchestration

Serve as a bridge between business, product and engineering teams, promoting AI-native practices across the lifecycle

Build, optimize and manage the lifecycle of prompts, context pipelines and instruction sets, including versioning and evaluation processes

Orchestrate AI agents across SDLC workflows and integrate capabilities into existing tools such as IDEs, CI/CD pipelines and cloud environments

Develop reusable patterns and frameworks for AI-enabled delivery

Ensure quality, reliability, safety and cost-efficiency of AI-generated outputs with defined validation criteria, reviews and rework cycles

Deliver solutions in an embedded forward-deployed model, working closely with clients on‑site or virtually

Coach client teams through AI-driven transformations and mentor engineers to adopt modern AI-first delivery practices

Requirements

5+ years of experience in software engineering and system design

Hands‑on experience with LLMs, prompt engineering or AI tools (e.g., Claude, GitHub Copilot)

Strong background with cloud platforms, modern APIs and DevOps practices

Product-oriented mindset and experience in customer‑facing engagements

Ability to operate across business, architecture and technical layers

Proven experience building AI agents or multi‑agent systems

Familiarity with AI governance, evaluation and safety frameworks

Experience in client‑facing or forward‑deployed roles

Strong written and verbal communication for technical and non-technical audiences

Professional fluency in German and English

Nice to have Certifications in AI, Machine Learning or major cloud platforms (AWS, Azure, GCP)

Experience in insurance or financial services domains

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