Accenture
Website:
accenture.com
Job details:
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Role Summary
Lead design and delivery of AI driven Retail/CPG engineering solutions across Azure, GCP, Snowflake, and Databricks, with a focus on LLM integration, Agentic AI pipelines, and Retail/CPG analytics. Act as the primary SME for AI architecture, LLM Ops, and enterprise-scale AI platforms.
Key Responsibilities
Proven delivery of production-grade AI systems in Retail/CPG with measurable impact
Lead AI data pipelines, LLM integrations, and agentic workflows on Azure, GCP, Snowflake, and Databricks.
Design and implement RAG architectures using vector databases for retail and supply chain use cases.
Build and operationalize Agentic AI systems for forecasting, inventory optimization, personalization, and promotions.
Integrate enterprise LLMs (GPT 4, Claude, Gemini) via APIs, prompts, and tool-based frameworks.
Own LLM Ops including evaluation, versioning, cost optimization, and production governance.
Mentor teams, drive architectural decisions, and ensure responsible AI, data quality, and compliance.
Required Skills
AI/ML Engineering, LLM Ops, Agentic AI
Python, PySpark, large scale Retail/CPG data pipelines
LLM integration & prompt engineering (Azure OpenAI, GPT 4)
Agentic frameworks (LangChain, LlamaIndex, AutoGen, MCP)
RAG pipelines and vector databases
Cloud AI platforms: Azure ML, Databricks MLflow, Snowflake Cortex
Good to Have
Streaming platforms (Kafka, Azure Event Hubs)
Responsible AI, explainability, regulatory compliance
Knowledge graphs or graph-based AI systems
Experience & Education
7.5+ years overall experience, with 3+ years in AI/ML or LLM-focused engineering
Bachelor s or Master s in Computer Science or AI/ML
Proven delivery of production-grade AI systems in Retail/CPG with measurable impact
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