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NEXTMOVEFDE careers · United States

Agentic AI Engineer

AI summary of the role

Capgemini is hiring a Senior Software Engineer to design and implement agentic AI solutions on Google Cloud Platform, using Vertex AI Agent Builder, ADK, and MCP to automate complex business workflows.

What you’ll do

  • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
  • Build and manage multi-agent systems with Agent Developer Kit (ADK) to solve end-to-end business challenges.
  • Implement MCP Toolbox to securely connect agents to enterprise databases like BigQuery and Spanner.
  • Build and optimize streaming data pipelines using Dataflow for real-time inference.

What you’ll bring

  • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with strong GCP focus.
  • Proven experience with Vertex AI Agent Builder and Agent Developer Kit (ADK).
  • Strong expertise with Vertex AI including Model Garden, Pipelines, model evaluation, training, tuning, and deployment.
  • Advanced SQL for BigQuery and Python for ML engineering and automation.

Technologies

Vertex AI Agent Builder · Agent Developer Kit (ADK) · Model Context Protocol (MCP) · BigQuery · Spanner · Dataflow · RunInference API · AlloyDB · Python · SQL

Source and classification

Production engineering · Evidence for this classification:

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 is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and
More from the 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. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deplo [... source excerpt omitted ...] g Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Plat [... source excerpt omitted ...] e 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 a

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