Location
This is a hybrid role based across multiple locations - Dallas TX, Atlanta GA, Chicago IL, Nashville TN.
About the job you're considering
The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.
Your role
- Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows.
- Use the Agent Developer Kit to build and manage multi-agent systems that solve end-to-end business challenges.
- Implement tools such as the Model Context Protocol (MCP) Toolbox to securely connect agents with enterprise databases, including BigQuery and Spanner.
- Use Vertex AI for model training, tuning, evaluation, and deployment.
- Integrate Vertex AI with BigQuery for feature engineering.
- Build and optimize streaming data pipelines using Dataflow.
- Execute real-time inference through the RunInference API or Vertex AI endpoints.
- Ground AI models in current business context using vector engines within BigQuery or AlloyDB
Your skills and experience
- Senior candidate with 10 plus years of related skills
- Proven experience with Model Garden, Vertex AI Pipelines, and model evaluation.
- Advanced SQL skills for BigQuery, Python expertise for ML engineering, and experience with data preprocessing techniques such as scaling, encoding, and imputation.
- Hands-on experience with Google Cloud Storage and Vertex AI endpoints.
- Familiarity with stateful real-time processing and current innovations in agentic architectures.
#LI-RM1 - Hybrid
The base compensation range for this role in the posted location is: $73,150 -$174,000.
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.
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.
