Gen AI/ML Solution Architect
Gen AI/ML Solution Architect
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Job Description
Position: Gen AI/ML Solution Architect
Location: Houston TX - (5 days onsite per week)
Notes:
- Minimum 2-3 Project on GEN AI LLM Architect
- Machine Learning with MLOps
- Convert business problems to solutions
Job Summary:
We are seeking an experienced Gen AI/ML Solution Architect to lead the design development and deployment of advanced AI-driven solutions. The ideal candidate will have over a decade of expertise in AI machine learning data mining NLP and predictive analytics with proven success in architecting large-scale data science solutions and delivering business impact.
Key Responsibilities:
- 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.
Required Qualifications:
- Bachelors in Engineering or Computer Science and a Masters 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.
Employment Type
Full-time
