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Virtual Assistant Architect Jobs (NOW HIRING)

Retail chatbots and virtual assistants * Product content generation * Customer service automation * Enterprise knowledge management * Architect solutions leveraging LLMs, RAG, Agentic AI, NLP, and ML ...

... solutions. * Assist architecture and engineering teams with solutioning technology systems ... virtual environments, is required. * Must be able to communicate complex technical information ...

AI Architect

Duluth, GA · On-site

$58 - $76.50/hr

AI Architect Responsibilities: * Define and drive the AI strategy aligned with retail Tech ... Retail Chatbots & Virtual Assistants * Product Content Generation * Customer Service Automation

New

AI Architect

$85 - $120/hr

LRS is seeking an experienced AI Architect to lead the design, implementation, governance, and ... Experience developing AI-powered chatbots, virtual assistants, knowledge management platforms, and ...

AI Architect

Irving, TX · On-site

$150K - $201K/yr

Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms. Design end-to-end AI architecture layers including ...

Network Architect

Boston, MA · On-site

$70.25 - $94.25/hr

Network Architect Location: Boston, MA (Onsite) Must have skills: Cisco Networking/CCIE Certified ... XR). 3. Assist with protocol redistribution, configuration updates, and change management ...

New

Showing results 41-60

Virtual Assistant Architect information

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$11

$24

$33

How much do virtual assistant architect jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for virtual assistant architect in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What is a virtual assistant architect?

A Virtual Assistant Architect is a professional responsible for designing, developing, and implementing virtual assistant solutions, such as chatbots or voice assistants, for businesses and organizations. They analyze user needs, choose appropriate technologies, and create architectures that ensure the virtual assistant is effective, scalable, and secure. Their role often involves collaborating with software developers, UX designers, and stakeholders to deliver seamless user experiences. Virtual Assistant Architects also stay updated on advancements in artificial intelligence and natural language processing to enhance assistant capabilities.

What are the key skills and qualifications needed to thrive as a virtual assistant architect?

To thrive as a Virtual Assistant Architect, you need a solid background in software architecture, cloud computing, and conversational AI design, typically with a degree in computer science or a related field. Experience with tools like AWS, Google Dialogflow, Microsoft Bot Framework, and certifications in cloud platforms or AI are highly valuable. Strong problem-solving, communication, and project management skills help you translate business requirements into effective virtual assistant solutions. These skills ensure you can design scalable, intuitive, and secure virtual assistants that meet organizational needs and deliver a superior user experience.

How does a virtual assistant architect typically collaborate with software developers and project managers during the design and implementation phases?

A Virtual Assistant Architect works closely with software developers to translate user requirements into technical solutions, ensuring that the architecture supports both the functional and non-functional needs of the virtual assistant. They often participate in design meetings, clarify technical constraints, and help resolve integration challenges. Collaboration with project managers is also key, as the architect provides input on project timelines, resource allocation, and potential risks. This cross-functional teamwork helps ensure that the final product is scalable, maintainable, and delivers a seamless user experience.

What is the difference between Virtual Assistant Architect vs Virtual Assistant Manager?

AspectVirtual Assistant ArchitectVirtual Assistant Manager
CredentialsTypically requires experience in virtual assistance, project planning, and sometimes certifications in project management or related fieldsOften requires experience in team management, client relations, and virtual assistance, with certifications in management preferred
Work EnvironmentDesigns virtual assistance systems, collaborates with clients and virtual assistants, often in a consulting or freelance capacityOversees virtual assistant teams within organizations or agencies, managing daily operations and client projects
Employer & Industry UsageUsed by consulting firms, freelancers, or agencies designing virtual assistance solutionsCommon in companies employing virtual assistants, managing teams, and client accounts

The Virtual Assistant Architect focuses on designing and planning virtual assistance systems, while the Virtual Assistant Manager oversees and manages virtual assistant teams and daily operations. Both roles require experience in virtual assistance, but their responsibilities and work environments differ significantly.

What cities are hiring for Virtual Assistant Architect jobs?

Cities with the most Virtual Assistant Architect job openings:

What states have the most Virtual Assistant Architect jobs?

States with the most job openings for Virtual Assistant Architect jobs include:

What are popular job titles related to Virtual Assistant Architect jobs?

For Virtual Assistant Architect jobs, the most frequently searched job titles are:

Infographic showing various Virtual Assistant Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.

AI Architect - Retail Domain

Duluth, GA • On-site

Acunor Infotech
IT Services • 11 - 50 employees

Other

Posted 16 days ago


Key responsibilities

  • Define and drive enterprise AI/GenAI architecture and strategy aligned with retail technology objectives.

  • Architect scalable AI solutions across the SDLC and enterprise technology landscape.

  • Design and develop AI platforms and reusable AI capabilities for enterprise adoption.


Job description

AI Architect Retail / GenAI

Location: Duluth, GA Hybrid (3 days onsite)
Experience: 12+ Years
Employment Type: Full-Time & Contract - Full-Time Preferred
Joining: Short Notice Preferred

Job Summary

We are seeking an experienced AI Architect with strong Retail domain expertise to lead the architecture and implementation of enterprise AI and Generative AI solutions. The role will focus on applying AI across the technology organization and Software Development Life Cycle (SDLC), building scalable AI platforms and establishing architecture, governance, MLOps, and responsible AI standards.

The ideal candidate will combine strong hands-on AI/GenAI expertise with enterprise architecture experience and the ability to lead technical teams and engage senior stakeholders.

Key Responsibilities
  • Define and drive enterprise AI/GenAI architecture and strategy aligned with retail technology objectives.
  • Architect scalable AI solutions across the SDLC and enterprise technology landscape.
  • Design and implement GenAI solutions including:
    • Retail chatbots and virtual assistants
    • Product content generation
    • Customer service automation
    • Enterprise knowledge management
  • Architect solutions leveraging LLMs, RAG, Agentic AI, NLP, and ML/DL technologies.
  • Design and develop AI platforms and reusable AI capabilities for enterprise adoption.
  • Build cloud-native AI solutions using Google Cloud Platform and Google Vertex AI.
  • Define MLOps frameworks, AI governance, responsible AI practices, deployment standards, and model monitoring.
  • Partner with product teams, business stakeholders, data scientists, and engineering teams to identify and prioritize AI opportunities.
  • Evaluate emerging AI technologies and recommend appropriate architecture and implementation approaches.
  • Provide technical leadership and mentorship to AI/ML engineers, data engineers, and AI developers.
Required Qualifications
  • 12+ years of overall IT experience, including 5+ years in AI/ML solution architecture.
  • Strong, demonstrable Retail industry/domain experience.
  • Enterprise-level experience architecting and delivering production AI solutions.
  • Strong hands-on expertise in:
    • Generative AI and Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI frameworks
    • Machine Learning and Deep Learning
    • NLP and/or Computer Vision
  • Strong experience with Python, SQL, Spark, and modern data engineering frameworks.
  • Hands-on experience with Google Cloud Platform and Google Vertex AI.
  • Experience designing or developing enterprise AI platforms.
  • Experience with MLOps technologies such as MLflow, Kubeflow, Databricks, or equivalent platforms.
  • Experience with vector databases/search technologies such as Pinecone, Weaviate, ChromaDB, or equivalent.
  • Strong understanding of AI governance, responsible AI, security, model monitoring, and production deployment.
  • Proven ability to lead technical teams and communicate architecture decisions to senior stakeholders.
Preferred Qualifications
  • Experience leading enterprise-scale AI transformation programs.
  • Google Cloud / AI certifications.
  • Strong stakeholder management and executive communication skills.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

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