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Contract Amazon Bedrock Jobs in Decatur, GA (NOW HIRING)

Last Word Consulting

Senior Software engineer

Atlanta, GA · On-site

$117K - $155K/yr

Atlanta, GA - Hybrid Project type: 6+ Months Contract-to-hire We are looking for a pragmatic, high ... Integrate LLMs into our platform using Amazon Bedrock or Vertex. You will build highly secure RAG ...

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

... with clear contracts and Pydantic validation Evaluation and Reliability * Build evaluation ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

All JobsContract Amazon Bedrock JobsContract Amazon Bedrock Jobs in Decatur, GA

Contract Amazon Bedrock information

See Decatur, GA salary details

$38.1K

$107.7K

$115.2K

How much do contract amazon bedrock jobs pay per year?

As of Jun 30, 2026, the average yearly pay for contract amazon bedrock in Decatur, GA is $107,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $113,700.00 per year, depending on experience, location, and employer.

What are Contract Amazon Bedrock roles?

Contract Amazon Bedrock roles typically refer to temporary or project-based positions that focus on implementing, managing, or supporting Amazon Bedrock, a fully managed service for building and scaling generative AI applications. Contractors in these roles may work on tasks such as integrating Bedrock’s foundation models into business solutions, optimizing AI workflows, or providing technical support to clients. These positions are usually offered through staffing agencies or as independent contracts, providing flexibility for both employers and professionals with expertise in AI, cloud computing, and Amazon Web Services (AWS).

What jobs in the US pay 300,000 a year?

High-paying jobs that can reach or exceed $300,000 annually include roles such as senior software engineers, data scientists, investment bankers, corporate executives, and specialized medical professionals like surgeons. These positions often require advanced skills, extensive experience, and sometimes professional certifications or advanced degrees. Compensation varies based on industry, location, and company size.

What are the key skills and qualifications needed to thrive as a Contract Amazon Bedrock Specialist, and why are they important?

To thrive as a Contract Amazon Bedrock Specialist, you need expertise in cloud computing, machine learning, and foundational knowledge of generative AI, often supported by a degree in computer science or a related field. Familiarity with AWS Bedrock, Amazon Web Services, API integration, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Strong problem-solving, adaptability, and effective communication skills help in translating client needs into scalable AI solutions. These skills ensure the successful design, deployment, and management of AI-powered applications on AWS, meeting both technical and business objectives.

Is Amazon Bedrock worth it?

Amazon Bedrock is a managed service that provides access to foundation models for building AI applications, making it valuable for roles involving AI development and machine learning. Its worth depends on the specific project needs, skill level with cloud services, and the cost-benefit analysis of integrating AI models into workflows.

Is Amazon Bedrock paid?

Amazon Bedrock is a managed service that provides access to foundation models, and it is a paid service. Users are billed based on usage, such as API calls and compute resources consumed. If you are referring to a job role related to Amazon Bedrock, compensation details depend on the specific position and company policies.

How does a Contract Amazon Bedrock specialist typically collaborate with cross-functional teams during client projects?

A Contract Amazon Bedrock specialist frequently works alongside data scientists, machine learning engineers, and project managers to implement AI and machine learning solutions using Amazon Bedrock services. Collaboration often involves understanding client requirements, designing tailored solutions, integrating Bedrock APIs, and troubleshooting deployment issues. Regular communication and agile development practices help ensure that deliverables meet both technical standards and client expectations, making teamwork and adaptability crucial for success.

How does the Amazon Bedrock agent work?

In the context of a Contract Amazon Bedrock role, the agent typically refers to a software component or system that interacts with Amazon Bedrock services to facilitate tasks such as deploying, managing, or monitoring machine learning models. The agent communicates with Bedrock APIs, automates workflows, and may require knowledge of cloud environments and scripting skills. It operates within a defined schedule or trigger-based system to support project requirements.
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Contract Amazon Bedrock jobs near you

Senior Software engineer

Last Word Consulting

Atlanta, GA • On-site

$117K - $155K/yr

Other

Posted 7 days ago

Job description

Job Title: Senior Software engineer

Location: Atlanta, GA – Hybrid

Project type: 6+ Months Contract-to-hire

We are looking for a pragmatic, high-output Senior Engineer to help revolutionize our technology ecosystem. You will build intelligent systems that serve thousands of internal users, removing manual friction through agentic workflows and high-level AI orchestration.

 

What You Will Do

  • Platform & App Development: Architect, build, and scale end-to-end applications. You will take ownership of major platform features, ensuring they are performant, scalable, and resilient.
  • Frontend Engineering: Build responsive, highly interactive, and accessible user interfaces. You will manage complex global state and optimize frontend performance.
  • Backend Engineering: Design and implement robust RESTful and GraphQL APIs. You will architect microservices or modular monoliths that can handle high-throughput enterprise traffic.
  • Modern DevOps & CI/CD: Design and maintain automated CI/CD pipelines. You will enforce strict automated testing, containerization, and deployment strategies (Blue/Green, Canary) to ensure AI-assisted code is safely tested and deployed.
  • Enterprise AI Integration (AWS Bedrock or Vertex etc): Integrate LLMs into our platform using Amazon Bedrock or Vertex. You will build highly secure RAG pipelines, manage vector databases, and implement AI features that directly drive user value.
  • AI-Assisted Engineering: Utilize tools like Cursor or GitHub Copilot to accelerate the generation of boilerplate and standard logic, while focusing your human effort on platform architecture, code review, and system design.

Technical Stack Requirements

To be successful in this role, you should have hands-on, production-level experience with the following technologies:

  • Frontend: TypeScript, React, Next.js, and modern CSS frameworks (e.g., Tailwind CSS).
  • Backend: Node.js (Express/NestJS) and/or Python (FastAPI/Django).
  • Databases: Relational databases (PostgreSQL/AWS Aurora) and Vector Data Stores (Amazon OpenSearch Serverless, pgvector, or Pinecone).
  • Cloud Infrastructure (AWS or Google Cloud Platform): Deep familiarity with AWS services  (Lambda, ECS/EKS, S3, API Gateway, DynamoDB) and Google Cloud Platform services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub), and Infrastructure as Code (Terraform or AWS CDK/Google Cloud Platform Deployment Manager).
  • AI & Orchestration: Amazon Bedrock (interacting with Foundation Models like Claude or Llama), Google Vertex AI, LangChain/LlamaIndex, and RAG architectures.
  • DevOps & CI/CD: Docker, GitLab CI, and observability tools (Datadog, AWS CloudWatch, Google Cloud Monitoring, Google Cloud Logging).
  • Testing: Automated testing frameworks across the stack (Jest, PyTest, Playwright, or Cypress).
  • Developer Tools: Advanced proficiency with AI coding assistants (Cursor, GitLab Duo, Claude Code).

What We’re Looking For

  • Experience: 5+ years of full-stack engineering experience, with a demonstrated history of building and scaling comprehensive web applications or SaaS platforms.
  • Quality & Architecture Focus: You view AI as an accelerator, not a replacement for good design. You possess the ability to review and refactor code rigorously, ensuring maintainability and preventing technical debt.
  • DevOps Mindset: You don''t just write code; you know how to safely deploy, monitor, and maintain it in a cloud-native environment.

Good to Have

  • Experience establishing developer platforms or internal tooling to improve team velocity.
  • Background in advanced cloud security and IAM role management.
  • AWS Certifications (e.g., AWS Certified Developer, DevOps Engineer, or Machine Learning Specialty).

Apply