Job DescriptionAs a
Full Stack Commerce Engineer (Consultant), you will support the design and delivery of AI‑enabled commerce and experience solutions, working closely with senior architects, managers, and client stakeholders.
What you will do- Support Client‑Facing Engagements:
Support client workshops and engagements by acting as a technical contributor, helping design use cases and platform solutions that apply Generative AI to real business challenges, under the guidance of senior technical leads.
- Build AI‑Powered Solutions:
Contribute to the design and development of full‑stack solutions from prototype through to production, including agentic workflows in Python and integrations with LLMs such as OpenAI/ChatGPT, Google Gemini, Nvidia, and Writer.
- Work Across the Commerce Ecosystem:
Support the integration of AI/ML capabilities with enterprise platforms, helping connect data and services across Commerce, PXM, CDP, DAM, CMS, and CRM systems.
- Develop and Maintain Data Solutions:
Design and implement database components using SQL and NoSQL technologies, supporting data pipelines and stored procedures that handle large‑scale commerce and customer data.
- Contribute to Delivery & Engineering Excellence:
Collaborate within agile delivery teams, contributing to solution design, development best practices, and DevSecOps processes, while learning from senior engineers and architects across the Accenture Data & AI community.
QualificationJob QualificationsWe are looking for experience in the following:
- Experience in a client‑facing or forward‑deployed engineering role, supporting the translation of business requirements into technical solutions.
- Strong full‑stack engineering experience, with Python used for AI/ML or data‑driven applications.
- Hands‑on experience building and deploying applications on cloud platforms (Azure or GCP preferred), including security, networking, storage, and monitoring.
- Practical experience integrating Generative AI services (e.g. OpenAI API, Vertex AI, Azure ML) and familiarity with core AI/ML patterns such as RAG and deployment architectures.
- Understanding of how AI/ML integrates with enterprise experience platforms (Commerce engines, DAM, PXM, CDP, CMS, CRM).
- Solid skills in SQL and NoSQL databases, including writing and maintaining stored procedures.
- Foundation in modern software engineering and DevSecOps practices.
Set Yourself Apart- Cloud certifications (e.g. Azure Solutions Architect, Google Professional Cloud Architect).
- Exposure to MLOps frameworks and vector databases (e.g. Pinecone, Weaviate).
- Experience contributing to proof‑of‑concepts or MVPs, demonstrating rapid learning and experimentation.
- Experience supporting production AI/ML solutions, ideally within retail or CPG environments.
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LocationsLondon
Additional InformationEqual Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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