Overview
Remote
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Use Cases
Business Cases
Management
Vector Databases
Prompt Engineering
Scalability
Regulatory Compliance
Large Language Models (LLMs)
Generative Artificial Intelligence (AI)
Cloud Computing
Machine Learning (ML)
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Data Governance
Artificial Intelligence
Job Details
Lead the end-to-end architecture of AI/ML and GenAI solutions across use cases.
Key Responsibilities:
- Translate business cases into technical AI/ML architecture and pipelines.
- Define the infrastructure for data ingestion, model development, and deployment.
- Oversee integration of GenAI components (LLMs, embeddings, vector databases, prompt engineering).
- Ensure scalability, compliance, and security across solutions.
Experience & Skills:
- Experienced in AI/ML architecture and implementation.
- Familiarity with large language models (LLMs) and GenAI platforms (OpenAI, Claude, LLaMA, etc.).
- Cloud-native AI/ML architecture (AWS/Google Cloud Platform/Azure).
Strong understanding of data governance, responsible AI, and model lifecycle.
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.