We are looking for an experienced AI Architect (AWS) to lead the design and implementation of enterprise-scale AI/ML and Generative AI solutions on AWS. The ideal candidate should have strong expertise in cloud architecture, machine learning, LLMs, and AI platform engineering, with the ability to translate business requirements into scalable AI solutions. Relevant AWS AI services such as Bedrock and SageMaker are commonly used in enterprise AI architectures.
Key Responsibilities
- Design and architect end-to-end AI/ML and Generative AI solutions on AWS.
- Lead AI platform modernization and cloud-native AI initiatives.
- Build and deploy LLM, RAG, Conversational AI, and Agentic AI solutions.
- Define AI architecture standards, governance, security, and best practices.
- Collaborate with data scientists, business teams, and engineering stakeholders.
- Design scalable MLOps pipelines and model deployment frameworks.
- Optimize AI workloads for performance, scalability, and cost.
- Provide technical leadership and mentor development teams.
Mandatory Skills
- AWS Bedrock
- AWS SageMaker
- Generative AI & Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Python
- Machine Learning & Deep Learning
- Vector Databases (OpenSearch/Pinecone/FAISS)
- MLOps
- AWS Lambda, ECS/EKS
- API Integration & Microservices
- Cloud Security & Governance