GenAI & Agentic Commerce Engineer
Job Description
Role: GenAI & Agentic Commerce Engineer Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO As a team... You'll be joining our Commerce team within Accenture Song UKI, a dynamic group at the forefront of digital innovation. We're passionate about creating next-generation customer experiences, and we believe that generative AI and agentic commerce are key to unlocking the future of online shopping across a variety of industries. Our team is a mix of strategists, product owners, designers, and engineers, and we're looking for a hands-on technical practitioner to help us turn our ambitious vision into reality, as we prepare for a future of autonomous shopping and AI-driven personalization. As a GenAI and Agentic Commerce Engineer you will...- Design, build, and deploy cutting-edge generative AI and agentic commerce solutions for our clients.
- Develop GenAI and Agentic experiences across the commerce lifecycle, for example: conversational AI, AI-powered search, and LLM-based discovery and checkout.
- Use and integrate generative AI content creation tools to enhance product descriptions, imagery and personalised content
- Work with our functional teams to translate business requirements into technical specifications.
- Stay up-to-date with the latest advancements in generative AI and agentic commerce and champion their adoption within the team.
- Proven experience in a technical role, with a focus on AI/ML
- Hands-on experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent
- Familiarity with GenAI frameworks and libraries like LangChain, LlamaIndex, or Hugging Face.
- A solid understanding of generative AI concepts, models, and frameworks.
- Knowledge of the wider commerce technology stack, including PXM, CMS, and CDP platforms.
- An understanding of composable commerce principles and MACH (Microservices, API-first, Cloud-native, Headless) architecture.
- A deep understanding of the e-commerce landscape and its underlying technologies.
- Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP.
- Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance.
- An understanding of customer data, databases, and data tools such as those available in GCP, including Google BigQuery.
- A portfolio of building Proof-of-Concepts that demonstrate an aptitude for rapid learning and application of new technologies.
- Contributions to open-source projects in the generative AI or agentic commerce space
- A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert).
- Experience delivering production AI/ML services for scaled end-user consumption within the retail or CPG industry.
- #LI-EU
- Proven experience in a technical role, with a focus on AI/ML
- Hands-on experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent
- Familiarity with GenAI frameworks and libraries like LangChain, LlamaIndex, or Hugging Face.
- A solid understanding of generative AI concepts, models, and frameworks.
- Knowledge of the wider commerce technology stack, including PXM, CMS, and CDP platforms.
- An understanding of composable commerce principles and MACH (Microservices, API-first, Cloud-native, Headless) architecture.
- A deep understanding of the e-commerce landscape and its underlying technologies.
- Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP.
- Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance.
- An understanding of customer data, databases, and data tools such as those available in GCP, including Google BigQuery.
- A portfolio of building Proof-of-Concepts that demonstrate an aptitude for rapid learning and application of new technologies.
- Contributions to open-source projects in the generative AI or agentic commerce space
- A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert).
- Experience delivering production AI/ML services for scaled end-user consumption within the retail or CPG industry.
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