Senior Software Engineer - Forward Deployed

Capgemini

Dallas, Northern (TX, KY)

Hybride

USD 82 000 - 193 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

401(k) plan
Medical, dental, vision insurance
Paid time off

Résumé du poste

Capgemini in Dallas is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform.

You will partner with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services. Hybrid role with client-facing delivery is expected.

Qualifications

  • 10+ years of software engineering, AI/ML, or cloud/data engineering.
  • Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden.
  • Advanced Python development for enterprise applications.

Responsabilités

  • Design and deploy Agentic AI and Conversational AI solutions on Vertex AI.
  • Develop multi-agent workflows integrated with enterprise apps and data platforms.
  • Build and optimize RAG solutions using BigQuery, AlloyDB, and vector search.

Connaissances

GCP
Vertex AI
Python
Agentic AI
Multi-agent systems
Terraform
Agile/Scrum
Cloud security

Formation

Bachelor's degree in Computer Science/Engineering
Master's degree preferred

Outils

BigQuery
AlloyDB
Vector databases
Vertex AI ADK
Model Garden

Description du poste

# Senior Software Engineer - Forward DeployedHoustonApply for this job* Permanent* Experienced Professionals* Software Engineering* ID 559006-en\\_GBChoosing 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 is hybrid role based in Dallas TX## About the Job You're ConsideringCapgemini is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform. This customer-facing role partners with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services.## 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• At least 10+ 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.#LI-SD1The base compensation range for this role in the posted location is $82,082 to $193,440Capgemini 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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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