Senior Data & AI Architect — Hybrid (Santa Clara)

Capgemini; Santa Clara (CA); Hybrid; USD 101,000 - 183,000; Full time

Benefits offered by this job

Vacation 12-25 days

Medical/Dental/Vision

401(k) plan

Life & disability insurance

Employee assistance program

Hybrid work model

Job summary

Capgemini Engineering in Santa Clara is seeking an AI Lead to drive design, development and delivery of enterprise-scale Data & AI solutions. This hybrid role requires hands-on leadership across Python, SQL, ETL/ELT and cloud data platforms, with a focus on GenAI/LLM use cases, RAG frameworks and AI agents.

The ideal candidate has 10+ years in data engineering, strong system design acumen, and experience leading cross-functional teams in a fast-paced environment.

Qualifications

• 10+ years in Data Engineering / Data Platforms with strong leadership experience.
• Strong system design, solution architecture, development and delivery capabilities.
• Experience with business operations and insights in 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 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 in a high-speed client environment.

Responsibilities

• 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.

Skills

Python

SQL

ETL/ELT

Spark

Cloud platforms

GenAI/LLM

AI agents

APIs

Data modeling

Tools

Spark

Job description

Capgemini Engineering in Santa Clara is seeking an AI Lead to drive design, development and delivery of enterprise-scale Data & AI solutions. This hybrid role requires hands-on leadership across Python, SQL, ETL/ELT and cloud data platforms, with a focus on GenAI/LLM use cases, RAG frameworks and AI agents.

The ideal candidate has 10+ years in data engineering, strong system design acumen, and experience leading cross-functional teams in a fast-paced environment.