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# Gen AI Architect

- **Company:** Innova Software Services Inc.
- **Location:** Columbus, OH, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Google Cloud, Pytorch, Scikit Learn, Data Analytics, Virtual Agents, Natural Language Generation, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://www.careerjet.com/jobad/usf134c3c92b0a9d91732ca11ae50cff76

## About the Role

* 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.

## Description

* 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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