GenAI Engineer for AI-Driven Customer Tech

Vacaturebank

Amsterdam

On-site

EUR 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Unlimited learning
Do Good volunteering program
Paid transport
Home office setup allowance
Social activities

Job summary

Accenture Song seeks a GenAI Engineer to design and implement LLM-based solutions that weave GenAI, agentic workflows, and customer data tech together. You will translate business needs into actionable architectures and build prototypes to enhance ecommerce, marketing and customer service stacks.

You will also communicate decisions to non-technical stakeholders and help teams adopt AI-driven practices to improve data collection, activation and usage across client environments.

Qualifications

  • 3+ years in Customer Technology with GenAI exposure.
  • Hands-on GenAI topics and field experience required.
  • Ability to explain technical decisions to non-technical audiences.

Responsibilities

  • Design and implement GenAI solutions for customer data platforms.
  • Build hand-on LLM-based prototypes for ecommerce, marketing and support.
  • Translate business needs into scalable architectures.
  • Communicate decisions to non-technical stakeholders clearly.
  • Help teams adopt AI-driven practices for data activation and usage.

Skills

SQL
Python/JavaScript
APIs
Cloud services
GenAI concepts
LLM-based prototyping
Agentic workflow design
Software engineering best practices

Education

Master's degree in Computer Science/Data Science/Engineering

Tools

Git
LLM APIs
Vector databases

Job description

Accenture Song seeks a GenAI Engineer to design and implement LLM-based solutions that weave GenAI, agentic workflows, and customer data tech together. You will translate business needs into actionable architectures and build prototypes to enhance ecommerce, marketing and customer service stacks.

You will also communicate decisions to non-technical stakeholders and help teams adopt AI-driven practices to improve data collection, activation and usage across client environments.

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