Agentic Infrastructure & Engineering Jobs

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216 of 472 matching · page 1 of 5

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TypeAgent infrastructure126 Agent engineering153 Developer tooling2 Applied research11 Forward deployed179 Other1

ModeRemote92 Hybrid95 On-site72 Location TBD213

LevelJunior18 Mid-level101 Senior216 Staff26 Principal17 Lead20 Manager18 Level TBD56

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216 of 472 matching · page 1 of 5

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Forward deployedSeniorTop pickNew

Forward Deployed Engineer (FDE) - Applied AI

CapgeminiAtlanta, GA, USA (Hybrid)

Posted today/Full-time/$82.1k–$193.4k/yr/Expires Nov 10, 2026

Apply on company site

Why it matters

The role ships customer-facing multi-agent workflows, MCP servers, enterprise knowledge integrations, evaluation pipelines, and observability for reasoning and tool-selection failures. It involves taking conversational prototypes into secure production systems while working directly in customer environments.

About the job

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.

Disclaimer

The role is being posted internally for referral purposes only.

Location

Hybrid work from Chicago, Atlanta, Nashville, Dallas, NY

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.

Role Overview

As a Forward Deployed Engineer (FDE) in Applied AI, you are the 'Agent Engineer' and the primary driver for our customers' most critical AI initiatives. You take initial conversational prototypes and transform them into production-ready solutions, owning the end-to-end engineering lifecycle, including the transition from 'Art of the Possible' to real-world business value and scalable, secure AI systems.

This is a high-travel, high-impact role focused on leading technical delivery for Conversational AI pilots and establishing the first Customer User Journeys (CUJs) for our largest customers at their sites.

This Role Requires a Deep Understanding Of

Software Engineering
Machine Learning Operations (MLOps)
Cloud Infrastructure

Key Responsibilities

Conversational AI & Agent Engineering

Serve as the lead developer for complex Conversational AI and CX applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable ROI.
Architect and code conversational flows that are not just functional, but optimized for the 'connective tissue' between Google's Conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters.

Evaluation, Optimization & Observability

Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize complex agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.

Platform Integration & Knowledge Systems

Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Build solutions that interact with enterprise IT infrastructures and support external customer projects.

Product Feedback & Engineering Excellence

Identify repeatable field patterns and technical 'friction points' in Google's AAI stack, converting them into reusable modules or product feature requests for Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Production Systems & Customer Delivery

Track record of troubleshooting live, high-traffic systems during critical windows.
Lead technical delivery for Conversational AI pilots and customer-facing implementations.

Minimum Qualifications

Education

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.

Software Development

5 years of experience with software development using Python or similar coding languages.

Cloud & Infrastructure

Experience architecting AI systems on cloud platforms (e.g., GCP).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.

Application Development

Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.

Preferred Qualifications

Advanced Education

Master's or PhD in AI, Computer Science, or a related technical field.

Agentic AI & Multi-Agent Systems

Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.

AI Optimization & Debugging

Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.

Production Support

Track record of troubleshooting live, high-traffic systems during critical windows.

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.

Benefits

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. 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.

Stack

python
gcp
terraform
mcp
react
rag

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