Senior AI Engineer: Lead AI Platform Delivery

Deloitte France

Miami (FL)

On-site

USD 122,000 - 241,000

Full time

2 days ago
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Job summary

Deloitte seeks an AI & Data Science Engineer III to drive technology-focused client delivery across complex engagements within the AI & Data practice. You will work with executive sponsors, manage teams, and design scalable AI/ML solutions that solve real business problems.

Based in the United States, you will collaborate across Azure, AWS, and Google Cloud platforms, while traveling up to 50% as project demands require.

Qualifications

  • 4+ years delivering AI/ML solutions, with at least 1 year on Generative AI or multi-agent systems.
  • 2+ years building AI/ML solutions using Python.
  • 1+ years developing agentic AI systems with tool integration and autonomous workflows.
  • Travel up to 50% on average, based on client work and industries.
  • Limited immigration sponsorship may be available.

Responsibilities

  • Lead day-to-day client delivery across complex engagements.
  • Identify, design, and implement tech and creative business AI solutions for large companies.
  • Manage small teams to define requirements, design, prototyping, testing, and handoffs.
  • Plan scope, schedule, resources, and deliverables; monitor progress and variances.
  • Communicate with key stakeholders and decision makers throughout the project.

Skills

AI/ML solutions
Python
Agentic AI systems
Project leadership
Communication

Education

Bachelor's or Master's in CS/Engineering/Data Science/AI

Tools

Azure AI Foundry
OpenAI Service
Cognitive Search & Vector DB
Cognitive Services
Entra ID & Key Vault
AWS Bedrock & services
Cognito/IAM/Secrets Manager
Vertex AI

Job description

Deloitte seeks an AI & Data Science Engineer III to drive technology-focused client delivery across complex engagements within the AI & Data practice. You will work with executive sponsors, manage teams, and design scalable AI/ML solutions that solve real business problems.

Based in the United States, you will collaborate across Azure, AWS, and Google Cloud platforms, while traveling up to 50% as project demands require.

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