Location This is a hybrid role based in Santa Clara, CA with an expectation of 4 days onsite each week. About the job you're considering We are looking for a Data & AI Architect/Lead Engineer to drive the design, development, and delivery of enterprise-scale Data and AI solutions. This role combines hands-on technical leadership with solution architecture responsibilities, focusing on modern data platforms, large-scale analytics, GenAI/LLM applications, RAG frameworks, AI agents, and intelligent automation. The ideal candidate will have deep expertise in Python, SQL, ETL/ELT, cloud data platforms, Spark, and AI technologies, along with proven experience leading cross-functional engineering teams and delivering business-focused data and AI products in a fast-paced environment Your Role

• Lead end-to-end Data & AI solution design, architecture, development and delivery.
• Design and develop scalable data modeling, data quality, data pipelines, data platforms and analytics solutions across structured and unstructured data.
• Drive GenAI/LLM use cases, including RAG, AI agents, conversational AI and intelligent automation.
• Translate business problems into data products, AI solutions and technical roadmaps.
• Provide hands-on technical leadership across Python, SQL, APIs, ETL/ELT and cloud data platforms.
• Establish best practices for data quality, governance, observability, security and performance.
• Lead technical discussions, architecture reviews, design decisions and engineering standards.
• Guide and mentor Data Engineers, AI Engineers and offshore engineering teams.
• Own delivery outcomes including quality, timelines, risks and stakeholder communication.

Your skills and experience

• 10+ years in Data Engineering / Data Platforms with strong technical leadership experience.
• Strong system design, solution architecture, development and delivery capabilities.
• Strong experience in business operation and insights in one or more areas such as Workforce mgmt., Software Asset mgmt., Supply Chain, Financials, Budget and Forecast.
• Strong expertise in Python, SQL, ETL/ELT and distributed data processing.
• Experience with Spark and large-scale data architecture.
• Strong cloud experience with GCP, AWS or Azure; GCP preferred.
• Hands-on experience with LLMs, RAG, vector databases, Conversational AI, AI agents, Agentic Workflows and GenAI application development.
• Understanding of ML/AI lifecycle, model integration, evaluation and production deployment.
• Proven experience leading complex programs involving multiple engineering and business stakeholders.
• Excellent communication skills with the ability to operate effectively in a high-speed, highly technical client environment.

The base compensation range for this role in the posted location is: $82,082- $193,440/year 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.