Architect and oversee the development of robust, scalable systems using generative AI models.
Collaborate with stakeholders to define business requirements and technical specifications for generative AI applications.
Guide the selection, customization, and optimization of state-of-the-art generative AI models.
Design a system to maintain deployed solutions at customer sites.
Develop end-to-end pipelines for inference and monitoring in production environments.
Ensure systems meet high standards for performance, scalability, and security while adhering to data privacy regulations.
Lead the implementation of APIs, microservices, and frameworks to integrate AI models into enterprise solutions.
Design scalable and efficient architectures for generative AI models, applications, and workflows.
Ensure seamless integration of Generative AI capabilities into existing systems.
Provide mentorship to engineering teams, fostering expertise in AI and software architecture.
Design and maintain platforms to handle large-scale solution applications in collaboration with legal/compliance teams.
Define architectural best practices to mitigate risks associated with Generative AI (e.g., model hallucinations).
Align AI architecture with organizational goals and contribute to strategic technology roadmaps.
Document architectural designs, workflows, and decisions for transparency and scalability.

Requirements

Bachelor’s degree or higher in Computer Science/Engineering, AI, or related fields
10+ years of experience in software architecture with a focus on AI/ML systems
Authorized to work in the United States; sponsorship is not supported for this role

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

generative AI modelssoftware architectureAI/ML systemsAPIsmicroservicesend-to-end pipelinesinferencemonitoringdata privacy regulationsarchitectural best practices

Soft Skills

collaborationmentorshipleadershipcommunicationstrategic planning