AI Engineer

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 is evolving its consulting model to be AI-enabled by design, combining analytics, automation, and generative AI to augment human judgment. On the Data Driven Transformation (DDT) team, you’ll help organizations unlock value from their data and AI investments through meaningful, scalable change. This onsite role in Atlanta, GA supports building and deploying AI components that fit within broader AI architectures for consulting engagements.

Salary: USD 110,000 - 137,500 per year
Experience: 3+ years
Location: Atlanta, GA (onsite)

Your role

You will build and deploy defined AI components within a broader architecture for AI-enabled consulting engagements. The work includes creating AI pipelines and agent workflows, implementing retrieval and tool-calling patterns, and supporting proof of concepts from technical validation through documentation and client sessions.

What you’ll do

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

What you bring

• Strong AI literacy, including core AI and generative AI concepts, and how these apply to enterprise transformation.
• Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience with AI-augmented ways of working to enhance research, analysis, and solution development.
• Effective collaboration across strategy, technology, data, and design to enable AI-driven solutions.
• Solid understanding of responsible AI principles including ethics, privacy, security, and governance.
• Curiosity and a continuous learning mindset for emerging AI capabilities in client environments.
• 3–5 years in software, data, or AI engineering.
• Practical experience with Python, SQL, APIs, and cloud.
• Exposure to LLMs, prompting, RAG, and agents.
• Familiarity with AWS, GCP, or Azure.
• Strong engineering fundamentals.

Technologies you’ll work with

• Python, SQL, API
• LLM, RAG, agents
• AWS, GCP, Azure

Benefits

• Paid time off based on employee grade (A-F): Vacation 12-25 days depending on grade, plus company paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.