Lead Forward Deployed AI Engineer

Capgemini; Atlanta (GA); Hybrid; USD 101,000 - 183,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement savings plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking an experienced Software Engineer specializing in AI/ML and cloud-based solutions in a hybrid role based in Atlanta and Nashville. You will design, deploy, and optimize Agentic AI systems, working with Vertex AI tools and enterprise integrations.

You will collaborate with client teams, implement multi-agent workflows, and contribute to secure, scalable AI architectures in an Agile environment. A strong Python background and GCP experience are essential.

Qualifications

• 7+ years of experience in Software Engineering, AI/ML, Cloud Engineering, or Data Engineering.
• Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden.
• Advanced Python development skills and experience building enterprise applications.
• Hands-on experience with Agentic AI, multi-agent systems, Conversational AI, and CX solutions.
• Experience implementing RAG, vector databases, embeddings, and enterprise knowledge integrations.
• Experience with Terraform, cloud infrastructure, networking, and security.
• Knowledge of evaluation frameworks, observability, debugging, and AI system optimization.

Responsibilities

• Design and deploy Agentic AI and Conversational AI solutions using Vertex AI Agent Builder and ADK.
• Develop multi-agent workflows and integrate them with enterprise applications, APIs, and data platforms.
• Build and optimize RAG solutions leveraging BigQuery, AlloyDB, and vector search technologies.
• Implement secure integrations using MCP and cloud-native GCP services.
• Develop evaluation, monitoring, and observability frameworks for AI systems.
• Deploy and manage AI infrastructure using Terraform and modern DevOps practices.
• Optimize agent performance, reasoning, tool selection, latency, and user experience.
• Collaborate directly with client teams to deliver scalable, secure, and business-focused AI solutions.
• Translate business requirements into production-ready AI architectures.
• Participate in Agile delivery, client meetings, and technical design discussions.

Skills

Python development

AI/ML engineering

Cloud engineering

Agile/Scrum

Stakeholder management

Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree or PhD preferred

Tools

Vertex AI

Vertex AI Agent Builder

ADK

Model Garden

BigQuery

AlloyDB

Terraform

Job 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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location: This is hybrid role based in Atlanta, GA and Nashville, TN.

About The Job You're Considering

Your Role

• Design and deploy Agentic AI and Conversational AI solutions using Vertex AI Agent Builder and ADK.
• Develop multi-agent workflows and integrate them with enterprise applications, APIs, and data platforms.
• Build and optimize RAG solutions leveraging BigQuery, AlloyDB, and vector search technologies.
• Implement secure integrations using MCP and cloud-native GCP services.
• Develop evaluation, monitoring, and observability frameworks for AI systems.
• Deploy and manage AI infrastructure using Terraform and modern DevOps practices.
• Optimize agent performance, reasoning, tool selection, latency, and user experience.
• Collaborate directly with client teams to deliver scalable, secure, and business-focused AI solutions.
• Translate business requirements into production-ready AI architectures.
• Participate in Agile delivery, client meetings, and technical design discussions.

Your Skills And Experience

• 7+ years of experience in Software Engineering, AI/ML, Cloud Engineering, or Data Engineering.
• Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden.
• Advanced Python development skills and experience building enterprise applications.
• Hands-on experience with Agentic AI, multi-agent systems, Conversational AI, and CX solutions.
• Experience implementing RAG, vector databases, embeddings, and enterprise knowledge integrations.
• Experience with Terraform, cloud infrastructure, networking, and security.
• Knowledge of evaluation frameworks, observability, debugging, and AI system optimization.
• Experience integrating AI solutions with enterprise systems and APIs.
• Experience working in Agile/Scrum environments.
• Strong communication, stakeholder management, and problem-solving skills.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Master's degree or PhD preferred.

The base compensation range for this role in the posted location is $101,140 to $182,624

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.

Benefits

• 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

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

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.

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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.