Top 109 Full stack developer java, microservices, angular Jobs in Hamilton, Oh

AI Software Architect - AWS Consultant
The Personnel Consulting Group —United States
- $190,000 - $210,000 a year
- Computer Science
- Master's degree
- Analysis skills
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AI Software Architect - AWS Consultant

The Personnel Consulting Group -
United States

Quick Apply

Job Details

$190,000 - $210,000 a year
2 days ago

Qualifications

AI models
Containerization systems
Systems integration
Data storage
Enterprise software
Application Architecture Design (Architecture design skill)
GitHub Actions
Software implementation
Integration Architecture Design (Architecture design skills)
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Scalable systems
Enterprise software systems development
Information security
Infrastructure architecture design
Machine learning cloud services
Machine intelligence
Model deployment
Enterprise Integration
SDKs
Computer networking
Cloud networking
Cloud Native Design
Scalability
DevOps automation

Full Job Description

Artificial Intelligence Software Architect – AWS Consultant

Role Overview

The AI Software Architect – Consultant designs and leads application-layer architecture for enterprise AI deployments built on AWS. This role translates business and AI requirements into intelligent, cloud-native solutions running on Amazon Web Services. The ideal candidate brings a balance of software engineering maturity, AI innovation, and consulting acumen to deliver secure, scalable, AWS-first applications for enterprise clients.

Key Responsibilities

Architect and develop AI-enabled enterprise software solutions on AWS, leveraging services such as Lambda, API Gateway, ECS/EKS, and the AWS SDK.
Design and implement retrieval-augmented generation (RAG), chatbot, and analytics interfaces that connect seamlessly to Amazon Bedrock and SageMaker.
Integrate AWS AI/ML services, including Bedrock, SageMaker, Kendra, and Comprehend, within client solutions.
Define best practices for AI-driven microservice architectures using containerized services deployed to Amazon EKS, ECS, or Lambda.
Lead code reviews, architectural assessments, and performance optimization of AI pipelines and application logic on AWS.
Enable secure connectivity to enterprise data platforms, including RDS, DynamoDB, Redshift, and S3, with authentication and compliance frameworks aligned to AWS IAM and security best practices.
Partner with DevOps engineers to establish CI/CD workflows and monitoring systems using AWS CodePipeline, CodeBuild, and CloudWatch for continuous AI application delivery.
Serve as a strategic advisor to clients, translating AI strategy and governance principles into technical roadmaps and actionable AWS implementation plans.
Contribute to internal innovation projects and reusable frameworks combining AWS and AI integration patterns.

Required Skills & Qualifications

Proven experience architecting and building scalable enterprise applications on AWS, including hands-on work with Lambda, API Gateway, ECS/EKS, and the AWS SDK.
Strong understanding of AWS cloud architecture, including compute, storage, networking, and security services.
Practical experience integrating AI components (LLMs, vector databases, inference APIs) into enterprise application workflows on AWS.
Experience configuring and deploying Kubernetes or container-based infrastructure on Amazon EKS or ECS for AI-enabled services.
Proficiency in modern DevOps workflows: AWS CodePipeline, GitHub Actions, or similar CI/CD pipelines.
Strong analytical and communication skills for collaborating with technical and business stakeholders.
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related discipline.
AWS certifications (AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect) preferred.

Preferred Experience

Development background in the .NET ecosystem (C#, ASP.NET Core, Entity Framework) applied to AWS-hosted services.
Integration of RAG pipelines, embedded vector search, or multimodal model features into business applications using Amazon Bedrock or OpenSearch.
Experience with real-time data streaming (Amazon Kinesis, MSK) and API gateway implementations.
Familiarity with cost-optimized AWS design and Well-Architected Framework principles.
Prior consulting experience delivering enterprise-grade software solutions across industries.
Contributions to solution accelerators or frameworks combining AWS and AI for rapid prototyping.

Benefits

Competitive salary and comprehensive benefits package.
Opportunities for professional growth and certification support.
Flexible work arrangements with remote collaboration tools.
Inclusive, mission-driven culture that values innovation and teamwork.

Up to $210KArtificial Intelligence Software Architect – AWS Consultant

Role Overview

Key Responsibilities

Architect and develop AI-enabled enterprise software solutions on AWS, leveraging services such as Lambda, API Gateway, ECS/EKS, and the AWS SDK.
Design and implement retrieval-augmented generation (RAG), chatbot, and analytics interfaces that connect seamlessly to Amazon Bedrock and SageMaker.
Integrate AWS AI/ML services, including Bedrock, SageMaker, Kendra, and Comprehend, within client solutions.
Define best practices for AI-driven microservice architectures using containerized services deployed to Amazon EKS, ECS, or Lambda.
Lead code reviews, architectural assessments, and performance optimization of AI pipelines and application logic on AWS.
Enable secure connectivity to enterprise data platforms, including RDS, DynamoDB, Redshift, and S3, with authentication and compliance frameworks aligned to AWS IAM and security best practices.
Partner with DevOps engineers to establish CI/CD workflows and monitoring systems using AWS CodePipeline, CodeBuild, and CloudWatch for continuous AI application delivery.
Serve as a strategic advisor to clients, translating AI strategy and governance principles into technical roadmaps and actionable AWS implementation plans.
Contribute to internal innovation projects and reusable frameworks combining AWS and AI integration patterns.

Required Skills & Qualifications

Proven experience architecting and building scalable enterprise applications on AWS, including hands-on work with Lambda, API Gateway, ECS/EKS, and the AWS SDK.
Strong understanding of AWS cloud architecture, including compute, storage, networking, and security services.
Practical experience integrating AI components (LLMs, vector databases, inference APIs) into enterprise application workflows on AWS.
Experience configuring and deploying Kubernetes or container-based infrastructure on Amazon EKS or ECS for AI-enabled services.
Proficiency in modern DevOps workflows: AWS CodePipeline, GitHub Actions, or similar CI/CD pipelines.
Strong analytical and communication skills for collaborating with technical and business stakeholders.
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related discipline.
AWS certifications (AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect) preferred.

Preferred Experience

Development background in the .NET ecosystem (C#, ASP.NET Core, Entity Framework) applied to AWS-hosted services.
Integration of RAG pipelines, embedded vector search, or multimodal model features into business applications using Amazon Bedrock or OpenSearch.
Experience with real-time data streaming (Amazon Kinesis, MSK) and API gateway implementations.
Familiarity with cost-optimized AWS design and Well-Architected Framework principles.
Prior consulting experience delivering enterprise-grade software solutions across industries.
Contributions to solution accelerators or frameworks combining AWS and AI for rapid prototyping.

Benefits

Competitive salary and comprehensive benefits package.
Opportunities for professional growth and certification support.
Flexible work arrangements with remote collaboration tools.
Inclusive, mission-driven culture that values innovation and teamwork.

$190K - $210K

Quick Apply

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