Full Stack AI Architect (Full Stack Generative AI)

Charlotte, NC, US β€’ Posted 10 hours ago β€’ Updated 10 hours ago
Contract W2
Contract Independent
On-site
$50 - $60/hr
Fitment

Dice Job Match Scoreβ„’

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Job Details

Skills

  • Apache Flink
  • Apache Kafka
  • Artificial Intelligence
  • Banking
  • Caching
  • Cloud Computing
  • Collaboration
  • Communication
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Customer Experience
  • Database
  • Debugging
  • Generative Artificial Intelligence (AI)
  • Java
  • Kubernetes
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Microservices
  • MongoDB
  • NoSQL
  • OCP
  • Oracle
  • Performance Tuning
  • Problem Solving
  • Prompt Engineering
  • Python
  • RDBMS
  • RESTful
  • Redis
  • Spring Framework

Summary

Job Title: AI Architect (Full Stack Generative AI)
Location: Phoenix, AZ or Charlotte, NC, USA (3 days onsite)

Core Skill Requirements
6 8 years of strong experience in Java development, including proficiency in Spring / Spring Boot.
4 5 years of experience with Python, focused on backend or data-driven development.
Deep understanding of Reactive Programming (Web Flux, etc.)
Hands-on experience with Apache Kafka for event-driven architectures.
Experience with Flink for stream processing and data pipelines.
Proficiency in Redis for caching and performance optimization.
Database expertise in both MongoDB (NoSQL) and Oracle (RDBMS).
Strong experience in building and consuming RESTful APIs.
Graph-QL knowledge is good to have but not mandatory.

AI / Conversational Platform Exposure
Good understanding of Google Dialog-flow CX or similar conversational AI frameworks.
Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering concepts.
Familiarity with ADK (Agent Development Kit), Playbook, or similar agentic frameworks.
Conceptual understanding of machine learning fundamentals and model telemetry.

Additional Skills
Strong problem-solving and debugging skills.
Experience with microservices architecture, CI/CD pipelines, and cloud-native environments (OCP, Kubernetes, etc.).
Excellent communication skills; ability to collaborate across engineering and product teams.

Preferred Qualifications
bachelor s or master s degree in computer science, Engineering, or related field.
Prior experience in banking, fintech, or digital assistant platforms is an advantage.

Employers have access to artificial intelligence language tools (β€œAI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10410658
  • Position Id: 8934401
  • Posted 10 hours ago
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