Senior Software Engineer (AWS & AI)

Client: Vanguard Location: Malvern, PA Work Mode: Hybrid, only w2
Job Description
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.