Senior Software Engineer (AI Engineer) at Capgemini, hybrid in Atlanta, designing and deploying agentic AI solutions on Google Cloud — building multi-agent systems with Vertex AI Agent Builder/ADK, real-time inference pipelines, and vector search/RAG grounding using BigQuery, Dataflow, and AlloyDB for enterprise clients.
Compensation
$82.1K–$193.4K / yr
Location
Not listed
Work setup
Not specified
Seniority
Senior
Employment
Full time
Experience
Not specified
Category
Software engineering
Posted
Skills
accessibility
agentic-ai
ai
automation
bigquery
ci-cd
cloud
cloud-native
data-pipelines
ecommerce
feature-engineering
gcp
generative-ai
machine-learning
mcp
mlops
model-deployment
model-evaluation
python
rag
sql
vector-databases
vector-search
vertex-ai
Must have
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 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
Nice to have
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, and Context-Aware AI Systems
Familiarity with MLOps, CI/CD, and cloud-native deployment practices
Full description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
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.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.