Gen AI Architect

Position name :Gen Ai Architect

Location: Hyderabad

Exp: 12 to 18 yrs relevant experience

Notice: 0- 30 days only (prefer immediate joiners)

Mode: Hybrid

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.