AWS Agentic AI Engineer

What you'll do

• Design and develop agentic AI systems using Amazon Bedrock and foundation models like Claude and Titan.
• Build autonomous agents capable of multi-step reasoning, planning, tool usage, and action execution.
• Integrate Amazon SageMaker for custom model training, fine-tuning, evaluation, and experimentation.
• Implement Retrieval Augmented Generation (RAG) solutions using OpenSearch, Aurora, DynamoDB, and vector databases.
• Optimize inference cost, latency, scalability, and reliability across all production AI workloads.
• Implement guardrails, validation layers, and human-in-the-loop controls to ensure safe and predictable AI behavior.
• Address hallucination mitigation, prompt injection risks, bias concerns, and model misuse scenarios.
• Implement comprehensive logging, monitoring, observability, and audit trails for all AI systems.

What we're looking for

• Bachelor’s degree in computer science, Engineering, Technology, or a related field.
• 8–12 years of overall IT experience.
• 3+ years of hands-on experience building agentic AI solutions using AWS cloud-native services.
• Strong expertise in AWS services including Lambda, Step Functions, EventBridge, S3, DynamoDB, Aurora, OpenSearch, Bedrock, and SageMaker.
• Advanced proficiency in Python for building scalable AI systems and automation workflows.
• Proven experience leading technical design and implementation of complex AI agent architectures.
• Hands-on experience designing Retrieval Augmented Generation (RAG) solutions and applying model fine-tuning techniques.
• AWS Solutions Architect or Machine Learning Specialty certifications (preferred); experience with LangChain and LangGraph (preferred).