Gen AI Architect

Role : Gen AI Architect
Location : Preferred Work Location: Phoenix, AZ
Secondary Work Location(s): Bay Area, CA / Charlotte, NC
Contract Job

Job description:
1. Architectural Leadership: Design and develop an end-to-end architecture for integrating generative AI capabilities into the current virtual assistant. Ensure solutions are model-agnostic, vendor-neutral, and adaptable across multiple platforms. Lead and mentor the technical team to implement and optimize the architecture.
2. Generative AI Integration: Evaluate and select generative AI models and frameworks suitable for conversational AI enhancements. Build, fine-tune, and integrate generative models for tasks like response generation, summarization, and personalized interactions. Optimize performance, scalability, and accuracy for real-world use cases.
3. Platform Migration and Scalability: Ensure seamless integration of backend APIs, maintaining high availability and performance. Develop a robust CI/CD pipeline for deploying and managing AI models and services on OCP.
4. Technical Implementation: Stay hands-on with coding, prototyping, and testing AI components. Collaborate with cross-functional teams, including backend engineers, DevOps, and data scientists, to deliver integrated solutions. Build monitoring and alerting systems for AI model performance and application reliability.
5. Collaboration and Stakeholder Management: Work closely with product managers, business stakeholders, and engineers to align technical solutions with business goals. Provide technical thought leadership, documentation, and knowledge-sharing to support team growth and alignment.
Preferred Qualifications
Experience working with virtual assistant platforms like Google Dialogflow or similar.
Knowledge of multiple generative AI models, including proprietary and open-source solutions.
Understanding of NLP, conversational AI, and related frameworks.
Experience with migrating legacy systems to modern cloud-native architectures.