AI Implementation Architect Position Available In Shelby, Tennessee

AI Implementation Architect

REQUIREMENTS

Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on production, customer facing implementation of data orchestration and AI technologies.
Strong ability to translate use case and business domain functions to production applications o Proficiency in programming languages (Python, Java) and related AI/ML frameworks (ex. LangChain, TensorFlow, PyTorch).
Experience with prompt flows, prompt engineering best practices, and AI patterns (ex. Retrieval Augmented Generation (RAG)) o Development and production deployment experience with data products on public cloud platforms (Azure and AWS preferred) o Knowledge of vector databases, search indexes, and embeddings.
Experience with fine-tuning (PEFT) is a plus o Experience with API architecture and design is a plus.
Healthcare experience would be a plus.

Education:

Bachelor s degree in Computer Science, Engineering, or a related field.

Certifications:

Relevant certifications in AI, data engineering, or cloud computing are a plus.
Top Skills in order of preference: AI Solution Design and Implementation
Machine Learning and Data Science Expertise
AI Architecture and Pipeline Planning
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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Dice Id:

91118341

Position Id:

8673266