AI & Data Science Engineer II: Lead AI Solutions

Deloitte France; Tempe (AZ); On-site; USD 91,000 - 180,000; Full time

Job summary

Deloitte’s AI & Data team in Tempe is seeking an AI and Data Science Engineer II to drive technology-focused client delivery across complex engagements. You will engage stakeholders as the main technical contact and lead components from design through production rollout.

You will guide small delivery teams, monitor progress, and ensure high-quality, timely results while collaborating across data, AI, and analytics platforms. Travel up to 50% may be required.

Qualifications

• 2+ years in data science, ML, or Generative AI with LLM prototyping experience.
• 2+ years Python/SQL across data/analytics platforms.
• 1+ year building enterprise data products and analytics pipelines.
• 1+ year leading workstreams or small delivery teams.
• Bachelor’s degree or higher in CS/Engineering/Data Science/AI.
• Ability to travel up to 50% on average; immigration sponsorship may be available.

Responsibilities

• Drive tech-focused client delivery on complex engagements.
• Engage stakeholders as main technical contact for the workstream.
• Deliver components from design to production rollout.
• Lead small teams through requirements gathering and design.
• Monitor progress, identify risks, and implement mitigations.
• Communicate clearly with stakeholders and leadership.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

multitasking

Interpersonal skills

Meeting deadlines

Guiding others

Education

Bachelor’s degree or higher in Computer Science, Engineering, Data Science, AI

Tools

Python

SQL

LLM APIs

Job description

Deloitte’s AI & Data team in Tempe is seeking an AI and Data Science Engineer II to drive technology-focused client delivery across complex engagements. You will engage stakeholders as the main technical contact and lead components from design through production rollout.

You will guide small delivery teams, monitor progress, and ensure high-quality, timely results while collaborating across data, AI, and analytics platforms. Travel up to 50% may be required.