GenAI Architect ___ Charlotte, NC (Onsite) ___ Contract

GenAI Architect

Location:

Charlotte, NC (100% Onsite) Long Term Contract – W2 / C2C

• Develop and implement Gen AI architecture strategies, best practices, and standards.
• Design and implement solutions that involve large-scale AI architectures, including LLMs, and deployment strategies
• Utilize expertise in cloud platforms for Gen AI deployment and management
• Analyze problems, identify solutions, and implement appropriate Gen AI technologies.
• Ensure the quality and availability of data needed for Gen AI models
• Monitor Gen AI system performance, identify areas for improvement, and implement necessary adjustments
• Provide technology transformation and help with successful delivery execution in Claims/ Underwriting.
• Develop architecture strategies like creating reference architectures, new product, technology & framework evaluations.
• Understand the Claims and UW systems and design solution that best fits the needs.
• Design Cloud and API driven solutions.
• Cross collaboration/designing with Integration (e.g., Mule Soft) and Pega.

• 5+ years' experience in the insurance industry as an architect, along with hands on development experiences is preferred
• 10+ years in designing end to end architectures in On-Prem and AWS Cloud environment using Mule, API Gateways, RESTful APIs, Rabbit MQ, React.js, databases (vector, SQL, No
  
  SQL) and other enterprise systems.
• 10+ years' Experience in Agile SDLC process and Dev Ops/Dev Sec Ops
• Working with large teams and ability to collaborate with business, technology, and other cross functional teams to drive solution development
• Experienced in developing architecture blueprints, sequence diagrams, dataflow diagrams, interface specifications, data models (logical/physical) and other solution architecture artifacts and deliverables

• Experienced in creating and delivering presentations to cross functional stake holders to gain alignment
• Optional - 1+ year Generative AI experience with a good understanding of RAG. Prefer some hands-on implementation experience
• Demonstrate resourcefulness, time management skills and ability to meet deadlines
• Must have excellent communication and interpersonal skills
• Ability to multitask and work independently