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Remote Amazon Ai Jobs in Spring, TX (NOW HIRING)

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Amazon Bedrock, Google Vertex AI, Databricks, or similar AI platforms. · Experience designing ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies. · ...

Hayes Financial Talent Group

Be Seen First

Entry Level Financial Professional

Houston, TX · Remote

$95K - $575K/yr

The work is remote (flexible schedule part/full-time) in the immense and lucrative financial ... AI and tools for the next generation. Through relationships and the ease of technology resources ...

All JobsAmazon Ai JobsRemote Amazon Ai JobsRemote Amazon Ai Jobs in Spring, TX

Remote Amazon Ai information

See Spring, TX salary details

$19.6K

$133.1K

$171.3K

How much do remote amazon ai jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote amazon ai in Spring, TX is $133,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $148,600.00 per year, depending on experience, location, and employer.

What is the difference between Remote Amazon Ai vs Remote Data Scientist?

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

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

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is a Remote Amazon AI job?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.
What are the most commonly searched types of Amazon Ai jobs in Spring, TX? The most popular types of Amazon Ai jobs in Spring, TX are:
What job categories do people searching Remote Amazon Ai jobs in Spring, TX look for? The top searched job categories for Remote Amazon Ai jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Amazon Ai jobs? Cities near Spring, TX with the most Remote Amazon Ai job openings:
Remote Amazon Ai jobs near you
Infographic showing various Remote Amazon Ai job openings in Spring, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $133,078 per year, or $64 per hour.

AI Architect Lead

NATIONMIND LLC

Houston, TX • Remote

$45 - $50/hr

Full-time

Re-posted 9 days ago

Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Architect Lead to join our growing team.
Role: AI Architect Lead
Location: Houston TX or US Remote
Duration: 6 months
Skills: AI and Automation AI Agents
 Experience Required: 10 & Above
Role Descriptions:
 ·         Strong experience in enterprise solution architecture, backend engineering, and distributed systems design.
·         Expertise in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
·         Strong experience designing APIs, integration platforms, event-driven architectures, and workflow orchestration systems.
·         Hands-on experience with GenAI applications, AI agents, RAG workflows, tool-calling systems, and enterprise chatbot platforms.
·         Strong understanding of LLM ecosystems including OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar AI platforms.
·         Experience designing orchestration frameworks, agent runtimes, workflow engines, and stateful task execution systems.
·         Strong understanding of prompt engineering, structured outputs, guardrails, function calling, and AI safety controls.
·         Experience integrating enterprise collaboration and workflow platforms including Slack, Jira, Zendesk, ServiceNow, and Confluence.
·         Strong understanding of enterprise identity and access management including Okta, SCIM, SSO, RBAC, ABAC, secrets management, and governance controls.
·         Experience with observability platforms, OpenTelemetry, monitoring frameworks, logging, tracing, metrics, and operational dashboards.
·         Strong knowledge of secure architecture practices, enterprise governance, data privacy, compliance, and operational reliability.
·         Experience with CI/CD pipelines, DevOps practices, deployment automation, rollback strategies, and operational lifecycle management.
·         Strong stakeholder management and leadership skills across architecture, engineering, AI Ops, governance, security, and business teams.
Core Skills:
·         AI & Automation 
·         AI Agents 
·         GenAI Applications 
·         RAG Workflows 
·         LLM Platforms (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI) 
·         Python, TypeScript, Node.js, Java, Go 
·         API & Integration Architecture 
·         Workflow Orchestration 
·         Prompt Engineering 
·         Enterprise Security & IAM 
·         DevOps / CI-CD 
·         Observability & Monitoring 
·         Leadership & Stakeholder Management 
This role is essentially a Senior/Lead AI Solutions Architect focused on designing and governing enterprise-scale AI agent and GenAI platforms.

This is a remote position.