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Gen AI Technical Architect

Jobs via Dice

Raritan · Hybrid Full-time Lead 2d ago
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About the role

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Procal Technologies, is seeking the following. Apply via Dice today!

Role

AI Technical Architect

Location

Raritan, NJ (Hybrid)

Contract Type

Contract to hire candidates only.

Requirements

  • 8+ years of hands‑on technical experience in software engineering, with at least 3+ years in a leadership role managing cross‑functional teams, including GenAI, machine learning, and cloud infrastructure.
  • Hands‑on Experience in designing and developing large‑scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud‑native applications.
  • Programming Languages: Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).
  • Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit‑learn, and spaCy, with hands‑on experience in integrating them into GenAI applications.
  • Hands on experience in Google Cloud Platform/Data Engineering/DevOps

Responsibilities

  • The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud‑native infrastructure.
  • Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high‑quality, scalable solutions while remaining directly involved in coding, technical design, and problem‑solving.

Requirements

  • Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.
  • Proficiency in Python, JavaScript, Java, or other backend languages.
  • Experience with API development (RESTful APIs, GraphQL).
  • Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.
  • Hands on experience in Google Cloud Platform/Data Engineering/DevOps.

Responsibilities

  • Architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.
  • Architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving.

Skills

API developmentCloud-native applicationsData engineeringDevOpsGenAIGoogle Cloud PlatformGraphQLJavaJavaScriptMachine learningML pipelinesPythonRESTful APIsscikit-learnspaCyTensorFlowPyTorch

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