GenAI Architect

Overview

Remote
$40+
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 18 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

API
Artificial Intelligence
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Pandas
NumPy
PyTorch
SQL
Python
Supervised Learning
Prompt Engineering
Large Language Models (LLMs)
TensorFlow
Workflow
Unsupervised Learning

Job Details

Role : GenAI Architect
Location: Remote

Primary Skills: (AI Data Scientist)
Deep Expertise in the following:

  • Large Language Models (LLMs) and Multimodels

  • Foundation Model Architectures (Transformers, Encoder/Decoder)

  • API integration from providers like (e.g., OpenAI, Cohere).

  • Model tuning pipeline development

  • Prompt engineering

  • Reinforcement learning from human feedback (RLHF).

Frameworks : PyTorch, TensorFlow,LangChain, LlamaIndex

Strong programming skills in Python, and experience with data engineering workflows (Spark, Airflow, SQL).

Hands on experience in

  • Fine-tuning & Prompt Engineering (LoRA, PEFT)

  • Retrieval-Augmented Generation (RAG) pipelines

  • Python: NumPy, Pandas, Scikit-learn, HuggingFace, OpenAI API

  • Knowledge of AI ethics, explainability, and governance in generative models.

Secondary skills:

  • Experience with vector databases (e.g., FAISS, Weaviate, Pinecone) and scalable RAG systems

  • Familiarity with GPU compute infrastructure and distributed model training

  • MLOps for LLMs: Deployment, Monitoring, Versioning

  • Classical Machine learning like Supervised Learning, UnSupervised learning models

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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