Nous Infosystems - Lead AI/ML Engineer - AWS Platform

Key Responsibilities

• Design and architect scalable data foundations for AWS SageMaker and Amazon Bedrock.
• Develop and implement Retrieval-Augmented Generation (RAG) architectures for enterprise AI applications.
• Work with Agent Core and develop effective integrations with Claude-based models.
• Design data pipelines and architectures to support AI/ML and Generative AI workloads.
• Identify opportunities to optimize and fine-tune AI/ML workloads for performance, scalability, and cost efficiency.
• Collaborate with Data Scientists, ML Engineers, Data Engineers, and Cloud Architects.
• Evaluate AI/ML solutions and recommend appropriate AWS services and architecture patterns.
• Ensure AI solutions meet requirements around reliability, security, scalability, and data quality.

Mandatory Skills

• AWS SageMaker
• Amazon Bedrock
• RAG (Retrieval-Augmented Generation)
• Agent Core
• Claude / LLM Integration
• AI/ML Workload Optimization
• Data Architecture for AI/ML

Good To Have

• Generative AI / LLM applications
• Vector databases and embeddings
• AWS data services
• MLOps / LLMOps
• Prompt engineering
• Model fine-tuning
• Strong understanding of cloud-native AI architectures

Candidate Profile

• Strong experience designing AI/ML data and solution architectures.
• Hands-on experience with AWS AI/ML services.
• Strong understanding of RAG and enterprise GenAI architectures.
• Ability to optimize AI/ML workloads and work with emerging AI technologies.
• Excellent analytical, problem-solving, and stakeholder-management skills. (ref:hirist.tech)