Description

Translate business problems into end-to-end AI-driven solutions using AWS services.

This role is on-site.

Responsibilities

• Design and deliver cloud-native applications and AI solutions on AWS, ensuring adherence to Well-Architected best practices.
• Lead the implementation of AI capabilities including AWS Bedrock, Agent Core, MCP, and prompt management.
• Build and maintain LLMOps and MLOps pipelines for scalable model deployment and monitoring.
• Develop backend services using Java, Spring Boot, and microservices patterns with robust API integration.
• Engage directly with clients to translate requirements into technical specifications and solution designs.

Required Skills

• 5+ years of experience in application development with Java and Spring Boot.
• Strong expertise in AWS services for compute, data, and AI/ML workloads.
• Hands-on experience with AWS Bedrock, SageMaker, and MLOps tools.
• Practical knowledge of Agentic AI, Agent Core, and MCP frameworks.
• Proven track record designing cloud-native, microservices-based architectures and APIs.
• Experience implementing prompt management and LLMOps practices.
• Strong consulting and client-facing communication skills.

Key Skills

Education

Any Gradute