Tittle: AWS Solution Architect + AI
Skills tested: Python, AWS Bedrock, Microservices, AWS Fundamentals
About the Role
We are seeking a hands-on Senior Software Engineer with deep experience in AWS cloud-native development and emerging AI technologies. This role blends software architecture, full-stack engineering, optimized hands-on development and applied AI with a strong focus on LLM-driven use cases and Proofs of Concept that advance our digital experience capabilities. You will define the technical approach, lead implementation, implement/code solutions and help shape the future of AI adoption across the enterprise.
Responsibilities:
Architect, design, and develop AI-powered applications and services leveraging AWS Bedrock and other AWS native services (Lambdas, Glue, S3, Athena, Kinesis(Not needed), AWS Textract and other AWS AI services like Amazon Q etc.).
Explore, evaluate, and operationalize LLM and agent-based solutions for real business workflows.
Enhance and operationalize existing AI POCs into scalable production systems.
Build secure, well-architected microservices using Python and/or Java, UI coding languages would be a value add.
Integrate with AWS Bedrock agents, embeddings, and foundation models via secure APIs.
Partner with Product, Architecture, Security, and Data Science to shape AI solution strategy.
Implement cloud solutions using AWS Lambda, ECS, EC2, RDS, IAM, SQS, SNS, API Gateway, Step Functions, DynamoDB, and more.
Maintain AWS best practices for performance, resiliency, and cost optimization.
Support and contribute to existing non-AI platform modernization initiatives when needed.
Drive software engineering excellence through code reviews, standards, and automation.
Technical Skills
8+ years software development experience with Python (primary) and Java.
Strong AWS engineering expertise in AWS Bedrock (Hands-on required: agents, embeddings, model orchestration) along with AWS Textract and other AWS AI services.
Strong AWS engineering expertise in AWS Lambdas, IAM, API development, and authentication patterns.
Solid practical understanding of Agentic architectures, LLM evaluation, and Cloud-native and event-driven architectures.
Strong grasp of general engineering patterns (microservices, CI/CD, observability).
Strong monitoring tool experience with Splunk or similar tools.
-Strong in solving the complex coding problem and build optimized solutions.
Ability to independently drive technical decisions from concept to deployment.
Strong architectural and solution design background.
Experience collaborating in Agile engineering teams.
Excellent communication and problem-solving skills.
Never miss an opportunity! Create an alert based on the job you applied for.
