AI Pipeline Engineer: RAG, Agents & Cloud (Atlanta)

Capgemini Invent; Atlanta (GA); On-site; USD 110,000 - 138,000; Full time

Benefits offered by this job

Paid time off 12-25 days

Medical, dental, and vision coverage

Retirement savings plans (401(k / RRSP

Life and disability insurance

Employee assistance programs

Job summary

Capgemini Invent in Atlanta, GA, is seeking an AI-enabled data transformation engineer for the Data Driven Transformation team. The role focuses on building and deploying AI components that fit within broader architectures for consulting engagements, including AI pipelines, prompts, and agent workflows.

You will implement RAG, tool-calling, and basic agents, write clean Python and SQL, and support proofs of concept through proofs, benchmarking, documentation, and client sessions.

Qualifications

• Strong AI literacy and enterprise AI concepts.
• Identify AI-enabled opportunities to improve outcomes.
• Experience with AI-augmented ways of working.
• Collaborate across strategy, technology, data, and design.
• Responsible AI principles including ethics, privacy, security, governance.
• Curiosity and continuous learning mindset for emerging AI capabilities.

Responsibilities

• Build AI pipelines, prompts, and agent workflows.
• Implement RAG, tool-calling, and basic agents.
• Write clean Python and SQL to support development.
• Support proofs of concept and benchmarks.
• Document AI designs and join client technical sessions.

Skills

Strong AI literacy

Experience: 3–5 years in software/data

Collaborative mindset

Curiosity and continuous learning

Tools

Python

SQL

APIs

Cloud

AWS

GCP

Azure

LLMs

RAG

Agents

Job description

Capgemini Invent in Atlanta, GA, is seeking an AI-enabled data transformation engineer for the Data Driven Transformation team. The role focuses on building and deploying AI components that fit within broader architectures for consulting engagements, including AI pipelines, prompts, and agent workflows.

You will implement RAG, tool-calling, and basic agents, write clean Python and SQL, and support proofs of concept through proofs, benchmarking, documentation, and client sessions.