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Gen AI Architect

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Onsite

Gen AI Architect

Innova Software Services

Gen AI Architect

Skills

Google Cloud PlatformData EngineeringPythonJavaPyTorchTensorFlowRMachine LearningAIAWSAzure

1 month ago

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Important information


Location:

Wilmington, DE, USA

Work mode:

Onsite

Published on:

12 September 2026

What they need


Job Title/ Role: Gen AI Architect

Job Location: Wilmington, Delaware and Columbus OH (5 Day onsite)

Mandatory Skills:

  • Strong knowledge of AI/ML implementation methodologies and best practices.
  • Proficiency in RAG and Agentic AI frameworks.
  • Experience with programming languages such as Python, R, or Java for AI/ML development.
  • Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Ability to analyze complex datasets and derive actionable insights.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, both verbal and written, to effectively convey technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with cloud-based AI/ML platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of data engineering and data preprocessing techniques.
  • Familiarity with Agile project management methodologies.
  • Experience in deploying AI/ML models in production environments.

Responsibilities:

  • Design, develop, and implement AI/ML models and algorithms tailored to client requirements.
  • Collaborate with stakeholders to gather and analyze project requirements, ensuring alignment with business objectives.
  • Utilize RAG techniques to enhance the performance and accuracy of AI systems.
  • Implement Agentic AI solutions that enable autonomous decision-making processes.
  • Conduct thorough testing and validation of AI/ML models to ensure reliability and effectiveness.
  • Provide technical guidance and support to team members and clients throughout the project lifecycle.
  • Stay updated with the latest trends and advancements in AI/ML technologies and methodologies.
  • Document project processes, methodologies, and outcomes for future reference and knowledge sharing.

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