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# Enterprise Architect in Windsor Mill

- **Company:** Energy Jobline
- **Location:** Milford Mill, MD, United States (Remote available)
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Artificial Neural Networks, Computer Programming, Continuous Integration, Data Transformation, Python (Programming Language), Machine Learning, Tensorflow, Software Organization, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Generative AI, Keras, Scikit Learn, Information Technology, Data Management, Software Version Control
- **Published:** August 9, 2026
- **Apply:** https://www.energyjobline.com/job/enterprise-architect-windsor-mill-31414628

## About the Role

Machine Learning, Deep Learning, Neural Networks, Python, Natural Processing, Prompt Engineering, and Data Management and Preprocessing., * BS Degree and a Minimum of 12 years of overall experience in an IT related field (development background )
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 * Must have prior SSA experience
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 * Minimum 5 years of hands-on experience designing, developing, and implementing AI models (Generative AI experience )
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 * Must be able to obtain and maintain a Public Trust. Contract requirement.
\n, * Proficiency in programming , especially Python, and relevant libraries (Scikit-Learn, TensorFlow, PyTorch, Keras)., * Knowledge of software development best practices, including CI/CD pipelines, version control, and testing.
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 * Problem-solving, analytical, and critical thinking skills.
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 * Strong communication and collaboration abilities.
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 * Understanding of AI ethics and responsible AI development.
\n, * Prior experience with federal or state governments IT projects.
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 * Familiarity with various LLM models available in the market
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 * Working knowledge of Retrieval Augmented (RAG) to enhance LLM responses
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 * Experience integrating GenAI models and services into existing applications using APIs
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## Description

Our teams are dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Experienced team members will be assigned to new hires for one-on-one mentoring, collaborative reviews, and coaching on customer engagement to help each new hire successfully onboard and demonstrate their skills. Projects and tasks are assigned in a way that leverages your strengths and will help you further develop your skillset.


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