Lucid Technologies Inc

NOTE: Onsite in Charlotte - Hybrid model - onsite 3 days a week. Data Architect III: ** 8 years of AI/ML development experience; ** Knowledge and implementation experience of AI/ML in AWS Cloud services; ** Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python); ** DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. **Must have excellent communication skills, collaborative mindset, team player, self-starter who will take initiative, able to work in a matrix environment across business lines. Provide location and interview availability** Video conference interview.

The AI Architect will work with senior architects and delivery partners. You will ensure that all relevant project teams follow a common set of principles and patterns that utilize a standard set of technology frameworks and libraries while applying architecture standard methodologies that help increase execution velocity.

This associate will be responsible to research and conduct POCs to ensure solutions are built in alignment with platform principles and standards and drive the architecture for key cross team/cross product development projects (via architecture/design documents and developing code key modules).

Collaborate with data scientists and other AI professionals

Define the feasibility of use cases along with architectural design for the AI platform

Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.

Work with Business and delivery partners to understand future requirements and implications for architecture

Identify architecture solution alternatives, driving business requirements, and availability of new technologies

Identify new technologies and tools to support architecture(s) and determine architectural roadmaps

Work closely with security and risk leaders to foresee and overturn risks

Review solutions and projects to ensure they are consistent with standard methodologies in data and analytics

Bachelor’s Degree in a related field (Computer Science, AI/ML).

5 to 8 years of AI/ML development experience

Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python).

DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.

AI Architecture -  data management, governance, model building and deployment

Knowledge and implementation experience of AI/ML in AWS Cloud services

API’s, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech