We are seeking a highly experienced Generative AI Architect to lead the design and development of enterprise-scale AI platforms leveraging Large Language Models (LLMs) and advanced Generative AI technologies. The ideal candidate will architect scalable, secure, and cloud-native solutions for processing unstructured data and generating structured business outputs.
Role & responsibilities
- Design and architect end-to-end Generative AI solutions and AI platforms.
- Lead the implementation of LLM-based applications using state-of-the-art AI technologies.
- Architect scalable systems for processing unstructured data, including PDFs and technical documents.
- Drive model selection, integration, optimization, and deployment of LLM and Transformer-based models.
- Design and implement cloud-native solutions using AWS services.
- Develop robust data pipelines to support AI/ML workloads.
- Ensure product security, governance, and compliance across AI solutions.
- Collaborate with data scientists, software engineers,
and product teams to deliver AI-driven business solutions.
Required Skills
- Generative AI Architecture
- Large Language Models (LLMs)
- Transformer Models
- AWS Cloud Architecture
- AWS Bedrock
- EC2
- EKS (Kubernetes)
- Microservices Architecture
- Data Pipeline Engineering
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI Platform Development
- Product Security
- API Integration
- MLOps
Experience
- 10+ years of overall software/product engineering experience.
- Robust hands-on experience designing and deploying enterprise AI/GenAI solutions.
- Experience in Cloud-native architecture on AWS.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.
- Experience building enterprise-scale AI products and platforms.
- Strong stakeholder management and technical leadership skills.