ZipRecruiter

Log In

1

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

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 Aug 2, 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 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.

Will Amazon really pay you to work from home?

Contract Amazon Bedrock roles often offer remote work options, allowing employees to work from home depending on the position and company policies. These jobs typically require skills in cloud services and may involve flexible schedules, but pay and remote arrangements vary by role and location.

Is Amazon Bedrock paid?

Contract Amazon Bedrock roles are typically paid positions, with compensation determined by the specific contract terms, experience, and job responsibilities. These roles often require skills in cloud services and AI technologies and may involve flexible schedules depending on the project.

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 secure environment to ensure data integrity and compliance with AWS standards.
What are popular job titles related to Contract Amazon Bedrock jobs in Decatur, GA? For Contract Amazon Bedrock jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Contract Amazon Bedrock jobs in Decatur, GA look for? The top searched job categories for Contract Amazon Bedrock jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Contract Amazon Bedrock jobs? Cities near Decatur, GA with the most Contract Amazon Bedrock job openings:
Contract Amazon Bedrock jobs near you

AI Architect with Healthcare Background

RITWIK Infotech Inc

Atlanta, GA • On-site

Other

Posted 3 days ago

New

Job description

Role:AI Architect with Healthcare Background
Location: Atlanta,GA
Duration: contract
Job Summary
We are seeking an experienced AI Architect with a strong healthcare background to design, develop, and implement enterprise-grade AI and Machine Learning solutions that improve clinical, operational, and business outcomes. The ideal candidate will have expertise in AI/ML technologies, cloud platforms, healthcare interoperability standards, and regulatory compliance, with experience delivering AI solutions in healthcare environments.
Key Responsibilities
  • Design and implement scalable AI/ML architectures for healthcare applications.
  • Collaborate with clinical, business, and IT stakeholders to identify AI use cases and solution strategies.
  • Develop AI-powered solutions for clinical decision support, predictive analytics, medical imaging, patient engagement, and operational efficiency.
  • Build and deploy Generative AI, NLP, and Large Language Model (LLM) solutions for healthcare workflows.
  • Design data pipelines for structured and unstructured healthcare data.
  • Integrate AI solutions with EHR/EMR systems and healthcare applications.
  • Ensure AI solutions comply with healthcare security, privacy, and regulatory standards.
  • Establish MLOps processes for model deployment, monitoring, governance, and lifecycle management.
  • Evaluate emerging AI technologies and recommend best practices.
  • Lead architecture reviews, proof-of-concepts, and enterprise AI initiatives.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Healthcare Informatics, or a related field.
  • 8+ years of experience in software engineering, AI/ML, cloud architecture, or solution architecture.
  • 3+ years of experience architecting AI solutions within the healthcare industry.
  • Strong knowledge of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
  • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
  • Hands-on experience with Python, SQL, and AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience deploying AI solutions using Kubernetes, Docker, and MLOps tools.
Healthcare Domain Expertise
  • Experience working with Electronic Health Records (EHR/EMR) systems such as Epic, Cerner, or Meditech.
  • Strong understanding of healthcare interoperability standards including HL7, FHIR, CDA, and DICOM.
  • Knowledge of healthcare regulations including HIPAA, HITECH, and data privacy/security best practices.
  • Experience with clinical data, claims data, population health, or value-based care initiatives.
Preferred Skills
  • Experience with Azure OpenAI, OpenAI APIs, Google Vertex AI, or Amazon Bedrock.
  • Knowledge of vector databases such as Pinecone, Weaviate, Chroma, or Milvus.
  • Experience with data engineering platforms such as Databricks, Snowflake, Spark, or Kafka.
  • Familiarity with DevOps, CI/CD, Infrastructure as Code (Terraform), and monitoring tools.
  • Strong communication, leadership, and stakeholder management skills.
Preferred Certifications
  • AWS Certified Solutions Architect
  • Microsoft Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Healthcare-related certifications (preferred)
Desired Experience
  • 10+ years of IT experience with 5+ years in AI architecture.
  • Proven experience leading enterprise AI transformation initiatives in healthcare.
  • Experience delivering scalable, secure, and compliant AI platforms for hospitals, health systems, payers, or life sciences organizations.

Apply