Overview
On Site
$120,000 - $125,000
Contract - W2
Contract - 24 Month(s)
No Travel Required
Skills
AI/ML
Generative AI
LLM
RAG
LangChain
LangGraph
Job Details
- Define and drive the AI/ML architecture and roadmap, including traditional ML and Generative AI (GenAI) use cases.
- Design end-to-end AI solutions including data ingestion, feature engineering, model training, inference pipelines, and monitoring frameworks.
- Lead the integration of Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) frameworks using tools such as LangChain, LangGraph, or similar.
- Collaborate with stakeholders to translate business requirements into AI-driven technical solutions.
- Evaluate and select appropriate AI/ML tools, cloud services, frameworks, and libraries for specific use cases.
- Ensure model governance, security, explainability, and compliance with ethical AI practices and regulatory requirements.
- Guide engineering teams in the implementation of AI components, ensuring scalability, reliability, and performance.
- Work with DevOps teams to enable CI/CD for AI pipelines, including model versioning and A/B testing.
- Stay current with industry trends, research, and advancements in AI and recommend best practices for adoption.
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.