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Work From Home Gen Ai Architect Jobs (NOW HIRING)

Ruri Software Technologies LLC

Gen AI Architect

Gen AI Architect Tenure: 2-6 Months (Expected to extend based on the initial 2-month implementation period) Interview Process: Internal & Client Job Summary: 1) Rapidly assess the customer landscape ...

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Gen AI Architect Location: Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI ...

Oxford Global Resources

AI Architect

OR · Remote

Leverage, customize and implement Gen AI models, algorithms, and methodologies to improve the ... If you join the Oxford team, you will quickly see how we work together towards one common goal ...

Logix Guru

Sr./Principal AI Architect

... Work From Home Opportunity!! Responsibilities: The AI architect role spans the life cycle of AI solution development. The following paragraphs summarize the key responsibilities at each AI ...

Lorven Technologies

Sr. Gen AI Engineer

$107K - $146K/yr

... value from concept through production. * Strong hands-on expertise in Python, Java, React JS ... Responsible AI, enterprise architecture, security, compliance, and model lifecycle management.

AmeriSave Mortgage Corp.

$175K - $350K/yr

Architect and deploy Gen AI applications using LLMs and agentic frameworks for mortgage lending use ... Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * LLMOps Leadership:

VeeRteq Solutions Inc.

Gen AI Engineer

New York, NY · Remote

Extended work experience in software development and collaboration across teams. * Possess a ... Data extraction/parsing - OCR, GenAI-based data extraction from unstructured documents (PDFs, PNGs ...

Neshent Technologies

$59.50 - $78.25/hr

Lead migration of enterprise applications from on-premises environments to Azure/GCP. * Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI technologies.

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$40K

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$129K

How much do work from home gen ai architect jobs pay per year?

As of Aug 25, 2026, the average yearly pay for work from home gen ai architect in the United States is $83,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a Work From Home Gen AI Architect?

A Work From Home Gen AI Architect is a professional who designs and oversees the development of next-generation artificial intelligence (AI) systems and solutions, while working remotely. They are responsible for creating scalable AI architectures, selecting appropriate technologies, and collaborating with cross-functional teams to implement AI-driven products and services. Their work often involves understanding business requirements, ensuring data security, and optimizing AI models for performance and efficiency. This role requires strong expertise in AI, machine learning, cloud technologies, and software engineering principles. As remote workers, they use digital collaboration tools to stay connected with their teams and manage projects.

How does a Work From Home Gen AI Architect typically collaborate with cross-functional teams remotely?

A Work From Home Gen AI Architect regularly partners with data scientists, software engineers, project managers, and business stakeholders through virtual meetings, collaborative platforms, and shared documentation. Effective communication and clear documentation are essential to ensure alignment on project goals, architectural decisions, and integration strategies. Architects often lead technical discussions, provide guidance on best practices, and review code or designs asynchronously. Leveraging tools like Slack, Zoom, and project management software helps maintain strong collaboration and project momentum even when working remotely.

What are the key skills and qualifications needed to thrive as a Work From Home Gen AI Architect, and why are they important?

To thrive as a Work From Home Gen AI Architect, you need in-depth knowledge of artificial intelligence, machine learning frameworks, and cloud architecture, typically backed by a degree in computer science or related field. Expertise in tools like TensorFlow, PyTorch, AWS, Azure, and relevant AI certifications are often required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and translating business needs into technical solutions. These competencies are crucial for designing scalable, innovative AI systems that drive organizational success in a distributed work environment.

What is the difference between Work From Home Gen Ai Architect vs Data Scientist?

AspectWork From Home Gen Ai ArchitectData Scientist
Required CredentialsAI certifications, machine learning, deep learning knowledgeStatistics, programming, data analysis skills
Work EnvironmentRemote, collaborative with AI teamsRemote or office-based, data analysis teams
Industry UsageAI development, machine learning projectsData analysis, business insights

Work From Home Gen Ai Architects focus on designing and implementing AI systems, requiring expertise in machine learning and AI frameworks. Data Scientists analyze data to extract insights, often working with statistical tools. While both roles may work remotely and require technical skills, the Architect role emphasizes AI system development, whereas Data Scientists focus on data analysis and interpretation.

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Infographic showing various Work From Home Gen Ai Architect job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,128 per year, or $40 per hour.

Gen AI Architect

Remote

Ruri Software Technologies LLC
Software Development • 11 - 50 employees
Learn more about Ruri Software Technologies LLCexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job title: Gen AI Architect
Tenure: 2-6 Months (Expected to extend based on the initial 2-month implementation period)
Interview Process: Internal & Client
Job Summary:
1) Rapidly assess the customer landscape, design and implementation by understanding their processes, systems, data, and pain points to identify and implement high-impact GenAI/agentic opportunities.
2) Define and own the end-to-end solution and technical architecture covering model selection, agent design, data ingestions, integration, services, guardrails, evaluation framework, and cost/security posture.
3) Lead the team hands-on through implementation, setting engineering and prompt-engineering standards, unblocking hard problems, and driving an iterative measure-improve-ship cadence.
4) Collaborate with business, IT, security, and engineering stakeholders to manage expectations, communicate risks, align on goals, and keep delivery on track.
5) Own end-to-end delivery and adoption, instrument success metrics, and establish a post-go-live operating model that sustains measurable productivity gains in production.
Required Skills:
1. Architecting, solutioning, and implementing scalable multi-agent orchestrated systems leveraging LLMs, LangChain/LangGraph, ACP, and RAG, with strong capabilities in agent design patterns, workflow orchestration, context/memory engineering, prompt and tool integration, and enterprise-grade observability, governance, and reliability
2. Python, Data Ingestion, Data Pipeline, Vector DB
3. Azure AI Foundry , Azure AI Service (or Similar services)
Years of Experience: 10.00+ Years of Experience

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