Role Summary:
We are seeking an experienced Senior Generative AI Architect to lead the design, development, and deployment of an AI Gateway that connects generative AI applications (developed in Python and C) with enterprise-grade LLM services such as Azure OpenAI and AWS Bedrock. This role is critical to building a robust, scalable infrastructure that enables seamless communication between Gen AI components and LLM endpoints.
The ideal candidate is a hands-on with deep expertise in architecting and productionizing Gen AI applications, and a proven ability to guide engineering teams toward high-quality outcomes.
Key Responsibilities:
Architectural Leadership
Design and document scalable, reliable, and maintainable architectures for Gen AI applications.
Ensure solutions meet production-grade standards and enterprise requirements.
Technical Decision Making
Evaluate trade-offs in technology choices, design patterns, and frameworks.
Align decisions with Gen AI best practices and software engineering principles.
Team Guidance
Mentor and guide architects and engineers.
Foster a collaborative, innovative, and high-performance development environment.
Hands-On Development
Actively contribute to prototyping and implementation using C and Python.
Drive research and development of core AI Gateway components.
Product Development Mindset
Build a responsible and scalable AI Gateway considering:
Cost efficiency
Security and compliance
Upgradeability
Ease of use and integration
Required Qualifications:
Technical Expertise
Extensive experience in API-based projects and full lifecycle deployment of Gen AI/LLM applications.
Strong hands-on proficiency in C and practical experience with Python.
Cloud & DevOps
Expertise in Docker, Kubernetes, and OpenShift for containerization and orchestration.
Working knowledge of:
Azure AI Services: OpenAI, AI Search, Document Intelligence
AWS Services: EKS, SageMaker, Bedrock
Security & Access Management
Familiarity with Okta for secure identity and access management.
LLM & Gen AI Tools
Experience with LangChain, LlamaIndex, and OpenAI SDKs in C.
Monitoring & Troubleshooting
Proven ability to monitor, trace, and debug complex distributed AI systems.
Personal Attributes:
Strong leadership and mentorship capabilities.
Excellent communication skills for both technical and non-technical audiences.
Problem-solving mindset with attention to detail.
Passion for advancing AI technologies in production environments.
Preferred Experience:
Prior leadership in large-scale, production-grade AI initiatives.
Experience in enterprise technology projects involving Gen AI.
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