Entry-Level Onsite AI Architecture Analyst – Charlotte

Accenture PLC

Charlotte (NC)

Vor Ort

USD 7.577.000 - 8.954.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Paid time off

Zusammenfassung

Accenture Flex is seeking an entry-level Associate Architecture AI Analyst to join our AI-focused architecture team in Charlotte, onsite 3–4 days per week. You will assist senior architects in designing AI-enabled solutions, develop backend services in Java and Python, and contribute to Claude-based workflows.

You’ll gain hands-on experience with AI architectures, data preprocessing, and cross-functional collaboration while following agile ceremonies and writing clean, well-documented code.

Qualifikationen

  • Foundational knowledge of Java and object-oriented programming principles.
  • Basic proficiency in Python including scripting and data manipulation.
  • Exposure to or interest in Machine Learning concepts.

Aufgaben

  • Assist in the design and documentation of AI oriented architecture solutions under senior guidance.
  • Develop and maintain backend services and integrations using Java and Python.
  • Support the implementation of AI features leveraging Anthropic Claude models via API.
  • Assist in building prompt engineering strategies and LLM based workflows.
  • Collaborate with cross functional teams including data science product and DevOps.

Kenntnisse

Java
Python
REST API
LLM concepts
Anthropic Claude

Ausbildung

High School Diploma or GED

Tools

Java

Jobbeschreibung

Accenture Flex is seeking an entry-level Associate Architecture AI Analyst to join our AI-focused architecture team in Charlotte, onsite 3–4 days per week. You will assist senior architects in designing AI-enabled solutions, develop backend services in Java and Python, and contribute to Claude-based workflows.

You’ll gain hands-on experience with AI architectures, data preprocessing, and cross-functional collaboration while following agile ceremonies and writing clean, well-documented code.

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