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# AI Solutions Architect

- **Company:** Job Juncture
- **Location:** Baton Rouge, LA, United States (Remote available)
- **Salary:** $170,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** ASP.NET, .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Frameworks, Business Logic, C Sharp (Programming Language), Code Review, Continuous Integration, DevOps, Amazon DynamoDB, Entity Framework, Github, Identity and Access Management, Machine Learning, Performance Tuning, Search Technologies, Software Engineering, Data Streaming, Systems Integration, Enterprise Software Applications, Chatbots, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, AI Platforms, Information Technology, Amazon Bedrock, Machine Learning Operations, Cloudwatch, Api Gateway, OpenSearch, Amazon Redshift, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.jobjuncture.com/all_jobs/50185

## About the Role

* Hands-on experience architecting and building scalable enterprise applications on AWS
 * Practical experience integrating LLMs, vector databases, and inference APIs into enterprise applications
 * Experience deploying container-based services on Amazon EKS or ECS
 * Proficiency with CI/CD pipelines (CodePipeline, GitHub Actions, or similar)
 * Strong communication skills with both technical and business stakeholders
 * Bachelor's or Master's in Computer Science, Software Engineering, or a related field

Bonus points for

 * AWS certifications, especially Machine Learning Specialty and Solutions Architect
 * RAG and vector search experience with Amazon Bedrock or OpenSearch
 * .NET background (C#, ASP.NET Core, Entity Framework)
 * Real-time streaming with Amazon Kinesis or MSK
 * AWS Well-Architected and cost-optimized design
 * Consulting experience delivering enterprise solutions

## Description

* Architect and build AI-enabled enterprise solutions on AWS using Lambda, API Gateway, ECS/EKS, and the AWS SDK
 * Design and implement RAG, chatbot, and analytics interfaces connected to Amazon Bedrock and SageMaker
 * Integrate AWS AI services, including Bedrock, SageMaker, Kendra, and Comprehend, into client solutions
 * Define best practices for containerized AI microservices on EKS, ECS, or Lambda
 * Lead code reviews, architecture assessments, and performance tuning of AI pipelines and application logic
 * Enable secure connectivity to RDS, DynamoDB, Redshift, and S3 using AWS IAM and security best practices
 * Partner with DevOps on CI/CD and monitoring using CodePipeline, CodeBuild, and CloudWatch
 * Translate AI strategy into practical technical roadmaps and AWS implementation plans for clients
 * Contribute to reusable frameworks and accelerators that combine AWS and AI


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