Job Title : AI Implementation Architect
Location : Memphis, TN (Preferred) or Remote
Duration : 18 Months + Extensions (Long-term contract.)
Start Date : ASAP
Number of Openings : 1
Top Skills in order of preference.
- AI Solution Design and Implementation
- Machine Learning and Data Science Expertise
- AI Architecture and Pipeline Planning
ESSENTIAL JOB FUNCTIONS
Design and build data and AI infrastructure systems including model selection and versioning, indexing, feedback capture, monitoring, and performance.Integration : Implement AI solutions that integrate seamlessly with existing business systems and enhance functionality. Work with systems and application owners to design complementary AI solutions.Collaboration : Work with data scientists, enterprise architects, and stakeholders to develop and deploy AI models based on use cases and value.Operations : Ensure scalability, reliability, and security of AI and data orchestration systems. Design systems to produce ethical, un-biased output.Governance and Improvement : Monitor and improve AI systems based on performance metrics and user feedback. Implement governance and observation methodologies to provide transparency to model operations.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.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.