Senior Cloud, Data & AI Solutions Architect

Capgemini; Chicago (IL); Hybrid; USD 150,000 - 220,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision coverage

401(k) plan

Job summary

Capgemini is seeking a highly technical Solution Architect focused on Cloud, Data Analytics, and AI to lead end-to-end implementation across client projects in the United States. You will design architecture blueprints, select appropriate technologies, and guide teams to build scalable, production-grade data and AI platforms.

You will partner with client delivery teams, drive rapid technical prototypes, and oversee complex platform migrations and modernizations, leveraging AWS, Azure, Google

Qualifications

• 14+ years in IT industry
• 6+ years in architecture capacity
• Experience with Data, Cloud and AI platforms is highly valued

Responsibilities

• Drive end-to-end data and AI platform delivery, coding, and engineering execution.
• Lead platform migrations and modernization across Data, Analytics, and AI domains.
• Guide development teams to turn complex system designs into production-grade solutions.
• Collaborate with AWS, Microsoft, Google, Snowflake, Databricks, and Anthropic ecosystems.
• Own deployment pipelines, environment configurations, and blockages during sprints.

Skills

Spark

Scala

Java

Cloud architectures

Gen AI / LLMs

MLOps/LMOps

DevOps automation

Data governance tooling

Data lakes

Data warehouses

NoSQL / Graph knowledge

Education

Bachelor’s or Master’s in Computer Science/Information Systems

Tools

Cursor

Claude Code

OpenAI Codex

Job description

Capgemini is seeking a highly technical Solution Architect focused on Cloud, Data Analytics, and AI to lead end-to-end implementation across client projects in the United States. You will design architecture blueprints, select appropriate technologies, and guide teams to build scalable, production-grade data and AI platforms.

You will partner with client delivery teams, drive rapid technical prototypes, and oversee complex platform migrations and modernizations, leveraging AWS, Azure, Google