AI & Metadata Engineer - GenAI Data Lineage (Hybrid)

Capgemini; Atlanta (GA); Hybrid; USD 103,000 - 129,000; Full time

Benefits offered by this job

Paid time off

Company paid holidays

Medical, dental, and vision coverage

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking an AI & Metadata Engineer in Charlotte, NC to design and build AI-enabled metadata extraction capabilities for automated lineage discovery and evidence generation.

You will leverage Generative AI/LLMs, develop lineage extraction services, and implement metadata normalization and enrichment frameworks, collaborating with data architects and lineage engineers.

This onsite-hybrid role offers opportunities to work across enterprise data assets and drive scalable AI solutions.

Qualifications

• Develop AI-assisted metadata extraction solutions.
• Develop lineage extraction and inference services.
• Implement metadata normalization and enrichment frameworks.
• Build confidence scoring and validation mechanisms.
• Evaluate AI model performance and extraction quality.
• Collaborate with data architects and lineage engineers.

Responsibilities

• Develop AI-assisted metadata extraction solutions.
• Develop lineage extraction and inference services.
• Implement metadata normalization and enrichment frameworks.
• Build confidence scoring and validation mechanisms.
• Evaluate AI model performance and extraction quality.
• Collaborate with data architects and lineage engineers.

Skills

Python

Generative AI / LLMs

Prompt Engineering

NLP & Information Extraction

GCP AI Services

Job description

Capgemini is seeking an AI & Metadata Engineer in Charlotte, NC to design and build AI-enabled metadata extraction capabilities for automated lineage discovery and evidence generation.

You will leverage Generative AI/LLMs, develop lineage extraction services, and implement metadata normalization and enrichment frameworks, collaborating with data architects and lineage engineers.

This onsite-hybrid role offers opportunities to work across enterprise data assets and drive scalable AI solutions.