Data & AI Solutions Engineer Analyst

Deloitte France; Houston (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

Deloitte invites you to join our Data & AI Solutions Engineering team in Houston, where you’ll apply data science, AI, and engineering to real client challenges. You’ll design pipelines, deploy AI-enabled solutions, and partner with clients to turn insights into action.

You’ll work at the intersection of AI engineering, data infrastructure, and forward deployment, building scalable platforms and governance-aware workflows while learning from mentors in a fast-moving, collaborative environment.

Qualifications

• Enrollment in an accredited college or university with expected graduation by Spring/Summer 2027
• Minimum GPA 3.0
• Experience or coursework with data processing and analytics tools (SQL, Python, R, Power BI, Informatica)
• Ability to travel up to 50% for client work
• Authorized to work in the United States without sponsorship
• Must be at least 18 years old and reside within commuting distance to the office

Responsibilities

• Work at the intersection of AI engineering, data infrastructure, and deployment to deliver client solutions
• Build data-driven pipelines and platforms with speed, scale, and governance
• Operationalize intelligence through automation and agentic workflows
• Collaborate with Deloitte teams and client stakeholders on project delivery

Skills

Data analysis

Problem solving

Communication

Critical thinking

Education

Bachelor’s degree or higher in CS/Data Science/Statistics/Analytics

Tools

SQL

Python

R

Power BI

Informatica

Tableau

Hadoop

Spark

AWS

Azure

Google Cloud

Job description

Deloitte invites you to join our Data & AI Solutions Engineering team in Houston, where you’ll apply data science, AI, and engineering to real client challenges. You’ll design pipelines, deploy AI-enabled solutions, and partner with clients to turn insights into action.

You’ll work at the intersection of AI engineering, data infrastructure, and forward deployment, building scalable platforms and governance-aware workflows while learning from mentors in a fast-moving, collaborative environment.