Sr. Software Engineer AWS & AI

Sr. Software Engineer AWS & AI If the candidate completes the assessment and does well we have a 3 hour block for screening on Monday. Hybrid - malvern pa - Senior Software Engineer (AWS & AI) 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. Good to Have - Experience with Vector Databases (Pinecone, Aurora Postgres pgvector). - Familiarity with GraphQL, container orchestration (ECS, EKS). - Prior experience in financial services , Operations process or regulated industries. - Knowledge of evaluation frameworks and responsible AI practices. Job Responsibilities 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.

Created: 2026-03-10