AI Architect - (Hybrid/Remote)

Job Location: Houston, Texas

Hybrid / Remote option

6+ Month Contract role

*** Must Have US Citizenship or Green Card ***

We are seeking a highly skilled AI Architect with expertise in Generative AI (GenAI) and modern machine learning frameworks. The AI Architect will design, implement, and optimize AI-driven solutions across diverse applications, including text generation, image generation, and conversational AI. This role requires strong technical leadership, hands-on development experience, and the ability to architect scalable AI solutions leveraging cloud and containerization technologies.

Key Responsibilities

Design and implement Generative AI solutions for applications such as text generation, image generation, conversational AI, and data augmentation.

Fine-tune GenAI models (e.g., GPT, BERT, DALL-E) for specific business tasks, industries, and customer needs.

Evaluate and implement frameworks such as Hugging Face Transformers, OpenAI GPT-3, and related tools.

Architect and deploy end-to-end AI/ML pipelines including data ingestion, preprocessing, model training, deployment, and monitoring.

Leverage GenAI for advanced use cases such as automated content creation, personalization, and knowledge extraction.

Collaborate with cross-functional teams (data scientists, engineers, business stakeholders) to ensure AI solutions align with organizational goals.

Ensure scalability, performance, and governance of AI solutions in production environments.

Drive innovation and stay ahead of emerging AI trends, tools, and best practices.

Technical Skills & Qualifications

Proven experience with Generative AI models (e.g., GPT, BERT, DALL-E) and frameworks (Hugging Face, OpenAI GPT-3).

Strong knowledge of fine-tuning GenAI models and adapting them for domain-specific use cases.

Hands-on experience with machine learning frameworks: TensorFlow, PyTorch, scikit-learn.

Strong programming skills in Python, R, or Scala.

Proficiency in data manipulation, SQL, and data processing tools (Apache Spark, Hadoop).

Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

Familiarity with MLOps practices, CI/CD for ML, and monitoring production models.

Strong problem-solving skills with the ability to translate business needs into technical AI solutions.

Preferred Experience

8+ years in machine learning / data science, with at least 3+ years focused on Generative AI and large language models (LLMs).

Experience in designing enterprise-scale AI architectures across multiple industries.

Prior involvement in deploying AI-powered applications at scale.