GenAI/Data Engineer

We are looking for a skilled and innovative Senior Data Engineer to join our growing data and AI team In this role you will be responsible for building scalable data infrastructure ensuring data quality and driving the integration of cuttingedge AI and agentic systems into our data platform

Key Responsibilities

Data Engineering

Build robust data models schemas and transformations that support analytics and AI workloads Ensure strong data quality reliability lineage and observability across the platform Design and maintain scalable data pipelines for batch and realtime processing

Agentic AI Engineering

Design and support Agentic AI systems including autonomous agents capable of reasoning planning and acting Implement tool usage memory management and feedbackselfrefinement loops Architect and manage multiagent orchestration and task decomposition Integrate LLMs into data pipelines for reasoning enrichment and automation Partner with ML and AI teams to productionize agentdriven use cases Support AI patterns such as RAG embeddings and prompt engineering

4 years of experience in Data Engineering or a related field Proficiency in SQL Python and distributed data frameworks Spark Databricks etc Handson experience with cloud data platforms AWS GCP or Azure Familiarity with LLMs vector databases and AIML pipelines Strong understanding of data modeling data quality and observability principles

Preferred Qualifications

Experience building agentic or multiagent AI systems Knowledge of RAG pipelines embeddings and prompt engineering Familiarity with tools like LangChain LlamaIndex or similar frameworks'

The base compensation range for this role in the posted location is: [Recruiter to insert salary range- US / Recruiter to insert total compensation range - CA]

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.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.