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Virtual Assistant Engineer Jobs (NOW HIRING)

Enara Health

Virtual Weight Management MD/DO

Bowie, MD · On-site +1

$100 - $135/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... programmable experiences. Our solutions are disseminated through unified products and services we ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Enara Health

Virtual Weight Management MD/DO

Bowie, MD · Remote

$100 - $135/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... programmable experiences. Our solutions are disseminated through unified products and services we ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

SAIC

ServiceNow CSM - Now Assist Engineer

VA · Remote

$120K - $160K/yr

Platform Engr Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: Interim ... Conversational experiences and Virtual Agent enhancements * Assist with AI operational processes ...

ZO

Staff Design Engineer

Manhattan, NY · On-site

$100 - $130/hr

Rob was the founding engineer both at Fin (a virtual assistant ahead of its time) and Substack. Ben had a long career at Stripe from 2015-2023. Our HQ is in Brooklyn (near SEY Coffee) and we have an ...

Conflux Systems

Service Now Engineer

Phoenix, AZ · On-site

This role combines ServiceNow platform engineering, AI solution design, workflow automation, and ... Now Assist Panel and Virtual Agent. • Establish AI guardrails aligned with organizational ...

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Virtual Assistant Engineer information

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How much do virtual assistant engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for virtual assistant engineer 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 engineer?

Virtual Assistant Engineers are professionals who design, develop, and maintain virtual assistant technologies, such as chatbots and voice-activated AI systems. They work with artificial intelligence, natural language processing, and machine learning tools to create digital assistants that understand and respond to user input. Their responsibilities may include coding backend logic, integrating APIs, and continually improving the assistant's performance based on user interactions. Virtual Assistant Engineers often collaborate with UX designers, data scientists, and product managers to deliver seamless user experiences.

How does a virtual assistant engineer typically collaborate with cross-functional teams to improve virtual assistant performance?

Virtual Assistant Engineers regularly work with product managers, UX designers, and data scientists to enhance the capabilities and user experience of virtual assistants. Collaboration often involves participating in sprint meetings, sharing data insights, and integrating user feedback into system improvements. This teamwork ensures the virtual assistant remains accurate, responsive, and aligned with evolving business needs. Effective communication and openness to iterative feedback are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a virtual assistant engineer, and why are they important?

To thrive as a Virtual Assistant Engineer, you need strong programming skills (often in Python, Java, or C#), experience with AI and NLP technologies, and a degree in computer science or a related field. Familiarity with platforms like Amazon Alexa, Google Assistant, dialog management systems, and cloud-based development environments is typically required. Excellent problem-solving, communication, and teamwork abilities help you collaborate effectively and design user-friendly voice or chat interfaces. These skills ensure you can build, deploy, and refine intelligent virtual assistants that enhance user experiences and meet business objectives.

What is the difference between Virtual Assistant Engineer vs Virtual Assistant?

AspectVirtual Assistant EngineerVirtual Assistant
Required CredentialsTechnical certifications, programming knowledgeBasic computer skills, communication skills
Work EnvironmentRemote, technical projects, client-specific tasksRemote, administrative, scheduling, customer support
Employer & Industry UsageTech companies, startups, IT service providersSmall businesses, entrepreneurs, online service providers
Common Search & Comparison IntentTechnical skills, engineering tasks, software developmentAdministrative support, scheduling, general assistance

The main difference between a Virtual Assistant Engineer and a Virtual Assistant lies in their skill sets and work focus. Virtual Assistant Engineers typically have technical certifications and work on software development or engineering projects, while Virtual Assistants handle administrative and support tasks. Both roles are remote and serve different industry needs, with the Engineer role requiring more technical expertise.

More about Virtual Assistant Engineer jobs

What cities are hiring for Virtual Assistant Engineer jobs?

Cities with the most Virtual Assistant Engineer job openings:

What states have the most Virtual Assistant Engineer jobs?

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

What job categories do people searching Virtual Assistant Engineer jobs look for?

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Virtual Assistant Engineer jobs near you
Infographic showing various Virtual Assistant Engineer 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 $50,749 per year, or $24.4 per hour.

Technical Business Analyst

K&K Global Talent Solutions Inc.

Charlotte, NC • On-site

$100K - $120K/yr

Full-time

Posted 3 days ago

New

Job description

Job Title: Technical Business Analyst

Location: Charlotte, NC (Onsite)

Job Type: Full Time/Permanent

Experience: 8+ years

Job Description:

  • Lead requirements gathering sessions with business partners, technology teams, and other stakeholders to define scope, objectives, business needs, success criteria, and implementation considerations for Employee Virtual Assistant capabilities.
  • Create clear, thorough, and well-structured technical documentation, including business requirements, functional specifications, process flows, conversational design documents, decisioning logic, data mappings, and integration details.
  • Translate stakeholder requirements into actionable conversational AI design documents that enable developers, conversational designers, testers, and product stakeholders to deliver high-quality virtual assistant experiences.
  • Demonstrate a clear understanding of APIs, web services, request and response structures, validation logic, exception handling, and data decisioning logic used to support virtual assistant experiences.
  • Create and maintain Jira epics, stories, acceptance criteria, and supporting documentation that clearly define expected behavior, user outcomes, business rules, dependencies, and testable success conditions.
  • Deliver assigned work on time while proactively identifying risks, blockers, and dependencies; communicate status clearly and contribute to mitigation plans that keep projects moving forward.
  • Communicate effectively with cross-functional technical and non-technical teams, including product owners, developers, QA resources, business partners, vendor partners, and leadership stakeholders.
  • Apply analytical and systems-thinking skills to understand business processes, technical impacts, user journeys, and operational dependencies within a virtual assistant ecosystem.
  • Support conversational AI design efforts by applying strategies that improve answer effectiveness, reduce friction, and deliver a strong user experience that contributes to high customer satisfaction.
  • Review and understand business processes configured within vendor tools, including the ability to interpret workflow logic, branching conditions, decision rules, and basic code or configuration logic.
  • Support quality assurance by reviewing requirements, validating expected behavior, identifying gaps or defects, assisting with test planning, and ensuring delivered functionality aligns to documented acceptance criteria.
  • Analyze large data sets, operational metrics, and dashboards such as Tableau to identify trends, prioritize opportunities, and recommend enhancements that improve virtual assistant effectiveness and technology issue resolution.
  • Excellent communication skills, including the ability to explain complex technical and business concepts through written documentation, diagrams, charts, dashboards, presentations, and stakeholder discussions.