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AI Solutions Architect

AI Solutions Architect

CereCoreNashville, TN, United States
4 days ago
Job type
  • Full-time
Job description

Classification : Contract

Contract Length : 12 months

Location : Nashville, TN

CereCore is seeking an  AI Solutions Architect to join our team onsite in Nashville, TN.

Summary :

This role requires contributing to strategic technical direction and system architecture approaches for individual projects and platform migrations.

Responsibilities :

  • Responsible for building and supporting a Cloud based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data
  • Design the cloud environment data model from a comprehensive perspective, ensuring that it satisfies all the company’s needs
  • Develop, manage, and own full data lifecycle from raw data acquisition through transformation to end user consumption
  • Share knowledge and experience to contribute to growth of overall team capabilities
  • Maintain a holistic view of information assets by creating and maintaining artifacts that illustrate how information is stored, processed, and accessed
  • Demonstrate deep understanding and act as a leader in the team’s continuous integration and continuous delivery automation pipeline
  • Collaborate with business analysts, project lead, management, and customers on requirements
  • Design fit-for-purpose products to ensure products align to the customer's strategic plans and technology road maps
  • Actively participate in technical group discussions and adopt any new technologies to improve the development and operations
  • Assist team members with production issues and offer support, guidance, and assist in communicating issues with appropriate stakeholders when necessary

Requirements :

  • 5+ years specifically focused on the practical implementation of AI / ML / Automation solutions within enterprise environments
  • A demonstrated history of successfully delivering high-impact AI / ML solutions from concept to production, with a clear focus on solving real-world business problems
  • Extensive experience designing, building, and deploying solutions on major cloud platforms (AWS, Azure, or GCP), including leveraging their AI / ML services effectively
  • Programming Languages : Mastery of core languages like Python and Java for AI / ML development and system integration
  • Data Handling : Strong understanding of data structures, algorithms, and big data technologies (e.g., Hadoop, Spark, or Kafka) for efficient data processing and feature engineering
  • Familiarity with DevOps and MLOps practices and tools (e.g., Git, Kubernetes, CI / CD) for streamlining the AI / ML lifecycle, including model deployment, monitoring, and maintenance.
  • Experience with optimizing solutions for performance, scalability, and cost-effectiveness in production environments
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    Solution Architect • Nashville, TN, United States