Senior AI Solutions Architect

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Job Summary :

CereCore is seeking an AI Solutions Architect to join their team onsite in Nashville, TN. This role requires contributing to strategic technical direction and system architecture approaches for individual projects and platform migrations, focusing on building and supporting a cloud-based ecosystem for enterprise-wide data analysis.

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 companys 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 teams 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

Qualifications : Required :

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

Mastery of core languages like Python and Java for AI / ML development and system integration

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

Company :

CereCore has implemented EHR systems in more than 300 facilities and offers staffing and remote support services for major EHR acute. Founded in 2011, the company is headquartered in Nashville, Tennessee, USA, with a team of 501-1000 employees. The company is currently Late Stage.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Industries

Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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