Location

This role is a Hybrid opportunity based in Atlanta.

About the job you're considering

At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment.

Job Overview

We are seeking a highly skilled AI Engineer with expertise in Agentic AI, Vertex AI, and Google Cloud Platform (GCP) to design, develop, and deploy scalable AI-powered solutions. The ideal candidate will have strong experience in building intelligent agents, developing data-driven AI applications, and leveraging cloud-native technologies to solve complex business problems.

Key Responsibilities

• Build and deploy intelligent agents using Vertex AI Agent Builder and ADK.
• Develop multi-agent solutions and integrate them with enterprise systems using MCP Toolbox.
• Design and optimize AI/ML solutions using Vertex AI, BigQuery, and Dataflow.
• Build real-time inference and data pipelines on GCP.
• Implement vector search and grounding solutions using BigQuery and AlloyDB.
• Collaborate with stakeholders to translate business requirements into scalable AI architectures.

Required Skills

• Strong hands-on experience with Vertex AI, including Agent Builder, Model Garden, Vertex AI Pipelines, and Model Evaluation.
• Expertise in Python for AI/ML engineering and automation.
• Advanced SQL skills with hands-on experience in BigQuery.
• Experience with data preprocessing, feature engineering, and model deployment.
• Strong knowledge of Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Cloud Storage, Vertex AI, and Cloud Spanner.
• Experience with real-time data processing and streaming architectures.
• Knowledge of Agentic AI frameworks, multi-agent systems, and AI orchestration patterns.
• Strong analytical, problem-solving, and communication skills.

#DI-CM1

Preferred Qualification

• Experience in Financial Services, Banking, Retail, or eCommerce domains.
• Knowledge of PII handling, data masking, redaction, privacy, and compliance standards.
• Experience with Vector Databases, RAG (Retrieval-Augmented Generation), and Context-Aware AI Systems.
• Familiarity with MLOps, CI/CD, and cloud-native deployment practices.
  #LI-UJ1

The base compensation range for this role in the posted location is: $82,082 to 193,440

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.