GenAI Engineer

Job Description

There will never be a typical day at Accenture Song, but that’s why people choose to be here. With diverse client challenges and a fast-evolving field, the work here is both stimulating and impactful.

As a GenAI Engineer, you will design and implement technical solutions that bring GenAI, agentic workflows, and customer data technologies together. You will translate business needs into actionable architectures, build hands-on LLM-based prototypes, and enhance clients’ customer experience stacks across ecommerce, marketing, and customer service. While primarily focused on technical delivery, you will clearly communicate your decisions to non-technical stakeholders and help teams adopt AI-driven practices that improve how they collect, activate, and use customer data.

The work

• Intermediate Data Engineering skills, in the context of Customer applications - you should be proficient with SQL database operations, have solid working knowledge of Python and/or JavaScript/TypeScript, and be comfortable using APIs and standard Cloud services.
• High-level understanding of ML concepts - you should understand the main stages of an ML/GenAI application lifecycle (data preparation, model selection, training, evaluation, deployment, monitoring).
• Hands-on GenAI experience - you should have practical experience building or integrating LLM-based applications at scale (prompt engineering, embeddings and vector databases, use of LLM APIs, evaluation frameworks, monitoring concepts).
• Knowledge of agentic patterns and workflow automation strategies in Customer Technology contexts - you should be able to propose architectures using agent-based orchestration for Customer Tech use cases (e.g. campaign content generation, CDP data analysis, …).
• Knowledge of Software Engineering best practices - including version control, clean code, testing practices, documentation standards, and modular design.

About Accenture Song

Accenture Song accelerates growth and value for clients through sustained customer relevance. Its capabilities span ideation to execution: growth, product, and experience design; technology and experience platforms; creative, media and marketing strategy and campaign, content and channel orchestration.