Description

Lead solution architecture for Generative AI, Conversational AI, and cloud AIaaS solutions, driving end-to-end implementation and deployment.

This role is on-site.

Responsibilities

• Lead solution architecture and proposal defense for reactive and proactive responses involving LLMs and cloud AIaaS.
• Transform customer requirements into technical visions, strategies, and enterprise-scale roadmaps for AI and Data Science platforms.
• Conduct client design workshops to provide technical tradeoffs and architecture recommendations.
• Develop applications using models such as OpenAI GPT, Anthropic Claude, Google PaLM 2, and Meta Llama 2.
• Implement indexing, retrieval, and chaining using LangChain and LlamaIndex frameworks.

Required Skills

• 15+ years of experience in Data & AI architecture with a hyperscaler partner (Azure, AWS, or GCP).
• Hands-on programming proficiency in Node.js.
• Expertise in Cloud PaaS for AI/ML, including Microsoft Bot Service, Google Dialogflow CX, or Amazon Lex.
• Experience with NLP model design, training, and publishing for multiple languages.
• Proficiency in deploying AI/ML services using ACR, ACI, Docker, and Azure Kubernetes.
• Knowledge of Microservices, Azure Functions, Logic Apps, and API Management.
• Experience managing DevOps CI/CD pipelines using GitHub for Enterprise.
• Strong understanding of Solution Architecture including Data Analytics, Data Security, DevOps, and MLOps.

Preferred Skills

• Certifications in Azure OpenAI, Google PaLM 2, or AWS Bedrock.
• Deeplearning.ai certifications in LLMs and prompt engineering.

Key Skills

Education

Any Gradute