Lead Software Engineer

Capgemini; Atlanta (GA); Hybrid; USD 89,000 - 207,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

Capgemini in Atlanta is seeking a Forward Deployed Engineer (Applied AI) to lead end-to-end deployment of conversational and agentic AI solutions. You will transform prototypes into production-grade applications and design multi-agent workflows that enhance customer experiences.

The role requires strong Python, MLOps, and cloud experience, with IaC using Terraform on Google Cloud. You will integrate AI with enterprise systems and drive reliable, scalable AI solutions across client environments.

Qualifications

• Experience building production AI applications and cloud-native architectures.
• Strong Python development and API integration skills.
• Hands-on Terraform and IaC for cloud deployments.

Responsibilities

• Lead development and deployment of Conversational and Agentic AI solutions.
• Design multi-agent workflows and AI-powered CX experiences.
• Build integrations between AI platforms and enterprise environments.
• Develop observability, monitoring, and evaluation pipelines for AI systems.
• Collaborate with customer engineering teams to deliver scalable solutions.

Skills

Python

GCP

Terraform

MLOps

APIs

Security

Cloud-native

Education

Master's or PhD in CS/AI/ML

Tools

Terraform

GCP

Vector databases

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 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.LocationThis role is a Hybrid opportunity based in Atlanta.About the job you're consideringAt 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 OverviewAs a Forward Deployed Engineer (FDE) - Applied AI , you will act as the primary technical driver for customers' strategic AI initiatives. You will transform conversational AI prototypes into scalable, production-ready solutions, leading the end-to-end development lifecycle of agentic AI applications. This role requires expertise in software engineering, cloud infrastructure, MLOps, and enterprise AI integrations.Key ResponsibilitiesLead the development and deployment of Conversational AI and Agentic AI solutions, transforming prototypes into production-grade applications.Design and implement multi-agent systems, conversational workflows, and AI-powered customer experience (CX) solutions.Build integrations between AI platforms and enterprise environments, including APIs, legacy systems, data platforms, and security frameworks.Develop evaluation pipelines, observability frameworks, and monitoring solutions to optimize AI system performance, reliability, and scalability.Troubleshoot and optimize agent behavior, reasoning workflows, tool selection, latency, and overall system efficiency.Leverage Infrastructure as Code (IaC) tools such as Terraform to automate cloud deployments and networking configurations.Partner with customer engineering teams to deliver AI solutions while driving best engineering practices and adoption.Identify recurring implementation patterns and contribute reusable frameworks, accelerators, and product improvement recommendations.Required Skillsexperience in software development experience using Python or similar programming languages.Strong experience with Google Cloud Platform (GCP) and cloud-native architecture.Hands-on experience with Terraform or similar Infrastructure as Code tools.Expertise in designing and deploying AI/ML applications in production environments.Experience building full-stack applications integrated with enterprise systems and customer-facing platforms.Strong understanding of APIs, microservices, networking, security, and system integrations.Experience with MLOps, monitoring, logging, and observability frameworks.Preferred QualificationMaster's or PhD in Computer Science, AI, Machine Learning, or a related field.Experience with multi-agent frameworks, including ReAct , self-reflection, and agent orchestration patterns.Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and enterprise knowledge base integrations.Experience debugging AI agents, optimizing tool selection, and tracing distributed workflows across microservices.Proven track record of supporting and troubleshooting high-volume, customer-facing production systems.Strong client-facing communication and stakeholder management skills.The base compensation range for this role in the posted location is:$88,544 to $207,401Capgemini 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.