Description

You will design and govern the technical direction for AI workloads.

Responsibilities

• Establish cloud-native design principles, reference architectures, and best practices for AI workloads.
• Design secure, cost-optimized, high availability AWS architectures for AI Applications.
• Architect, design, and oversee implementation of machine learning pipelines from data ingestion to deployment.
• Lead proof of concepts for emerging AI capabilities, including Gen AI and Agentic AI.
• Establish monitoring and observability frameworks using CloudWatch, Prometheus, and Grafana.

Required Skills

• 10+ years of experience in software or solution architecture.
• 3+ years experience in AI/ML or data-driven applications.
• Hands-on experience with AWS services for AI/ML workloads (SageMaker, Bedrock, Lambda, EKS, Glue).
• Strong programming skills in Python or Java.
• Exposure to ML frameworks such as TensorFlow and PyTorch.
• Familiarity with Generative AI, LLMs, and vector databases (e.g., Pinecone, OpenSearch).
• Experience with AI/ML Ops, CI/CD Pipelines, and containerization.
• Experience with Model Tuning/Evaluation Techniques (Fine Tuning, RLHF) and RAG Implementations.

Key Skills

Education

Any Gradute