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# Gen AI/ML Solution Architect

- **Company:** Marine Corps Forces Reserve, U.S.
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Data Mining, Data Visualization, Document Retrieval, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Recommender Systems, Tensorflow, Azure Machine Learning, Sentiment Analysis, Data Processing, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Topic Modeling, Generative AI, Matplotlib, AI Platforms, Scikit Learn, Information Technology, Machine Learning Operations, Semantic Kernel, Api Management
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/9c7d9760-1d55-410d-80df-6d3838308c5a/gen-aiml-solution-architect

## About the Role

* Minimum 2-3 Project on GEN AI LLM Architect
 * Machine Learning with MLOps
 * Convert business problems to solutions, * Bachelor's in Engineering or Computer Science and a Master's in Information Technology, Telecommunications, or a related field.
 * 14+ years of professional experience in AI, data mining, deep learning, predictive analytics, and machine learning.
 * Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization.
 * Proficiency in Python and R, with expertise in AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Transformers, and visualization tools (Matplotlib, Seaborn, ggplot2).
 * Strong knowledge of NLP techniques and frameworks, vector databases, and MLOps workflows.
 * Experience with cloud-based AI platforms (Azure ML, AWS Sagemaker, or GCP AI Platform).
 * Solid understanding of cognitive AI systems, intelligent automation, and decision-support systems.

Preferred Skills:

 * Experience with Retrieval-Augmented Generation (RAG) pipelines and Semantic Kernel integration.
 * Expertise in deploying AI solutions at enterprise scale with robust API integrations.
 * Strong communication and leadership skills for cross-functional collaboration.

## Description

* Lead end-to-end Gen AI/ML solution architecture - from problem definition, data acquisition, and feature engineering to model deployment and monitoring.
 * Collaborate with business stakeholders to define requirements and translate them into scalable AI/ML solutions.
 * Design and implement advanced NLP systems using state-of-the-art models (BERT, ELMO, word2vec) for tasks such as sentiment analysis, named entity recognition, and topic modeling.
 * Build and integrate predictive models, leveraging cloud-based platforms such as Azure Machine Learning for forecasting and analytics.
 * Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems.
 * Implement personalized recommendation engines using cutting-edge frameworks (e.g., Semantic Kernel).
 * Ensure solutions are optimized for performance, scalability, and maintainability in production environments.
 * Mentor and guide teams on AI/ML best practices, frameworks, and emerging technologies.