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AI Implementation Architect

AI Implementation Architect

RIT Solutions, Inc.Germantown, TN, United States
30+ days ago
Job type
  • Full-time
Job description

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.
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    Ai Architect • Germantown, TN, United States

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