Description

You will own the architecture, implementation, and operationalization of AI-powered services on AWS.

Responsibilities

• Architect, design, and develop AI applications using AWS Bedrock and native AWS services (Lambda, S3, Athena, Textract, Amazon Q).
• Explore and operationalize LLM and agent-based solutions for core business workflows.
• Enhance existing AI Proofs of Concept into scalable production systems.
• Build secure, well-architected microservices using Python and/or Java.
• Partner with Product, Architecture, and Data Science teams to define AI solution strategy.

Required Skills

• 8+ years of software development experience, primarily in Python and Java.
• Hands-on AWS engineering expertise in AWS Bedrock, covering agents, embeddings, and model orchestration.
• Strong AWS expertise in Lambda, IAM, API development, and authentication patterns.
• Practical understanding of Agentic architectures, LLM evaluation, and event-driven systems.
• Grasp of general engineering patterns including microservices, CI/CD, and observability.
• Experience with monitoring tools like Splunk.
• Ability to independently drive technical decisions from concept to deployment.
• Solid architectural and solution design background.
• Experience collaborating within Agile engineering teams.

Key Skills

Education

Any Graduate