Full Stack Commerce Engineer generative AI ML Consultant

What you'll work on

• 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.

What we're looking for

We 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.