AI Implementation Architect

Description:

*Requiring candidates local to Memphis, TN*

We are seeking an experienced AI Architect to design, build, and implement AI infrastructure systems that drive innovation and performance. In this role, you will collaborate with cross-functional teams to develop and deploy AI models, ensuring scalability, reliability, and security.

Responsibilities:

Design & Build: Develop data and AI infrastructure systems, including model selection, versioning, indexing, and performance monitoring.
Integration: Implement AI solutions that integrate seamlessly with business systems to enhance functionality.
Collaboration: Work closely with data scientists, architects, and stakeholders to design AI solutions based on specific use cases.
Operations: Ensure AI and data orchestration systems are scalable, reliable, and secure, producing ethical, unbiased output.
Governance & Improvement: Monitor AI system performance and implement feedback loops for continuous improvement.

Qualifications:

Proven experience as a Data Engineer, AI Engineer, or similar role, focusing on production AI and data orchestration.
Proficiency in Python, Java, and AI/ML frameworks (e.g., LangChain, TensorFlow, PyTorch).
Experience with prompt engineering, Retrieval Augmented Generation (RAG), vector databases, and embeddings.
Experience deploying data products on cloud platforms (Azure, AWS).
Strong background in AI solution design, machine learning, and data pipeline architecture.
Bachelor’s degree in Computer Science, Engineering, or related field.
Certifications in AI, data engineering, or cloud computing are a plus.