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Virtual Assistant Engineer Jobs in Virginia (NOW HIRING)

Trident

DevOps Engineer II

Fairfax, VA · On-site

$54 - $74/hr

... virtual machines, containers, and related infrastructure. • Assist with configuration management and environment documentation. • Support infrastructure monitoring, logging, and alerting tools ...

NeoSystems

Endpoint Engineer II

Reston, VA · On-site

$48.08 - $62.50/hr

Configure and manage physical devices, Windows 365 Cloud PCs, and Azure Virtual Desktop ... Monitor Defender for Endpoint alerts and assist with remediation steps under guidance. * Apply or ...

Trident Systems LLC

DevOps Engineer II

Fairfax, VA · On-site

$54 - $74/hr

Senior Manager, Software Engineer Supervises Others: No At Trident Systems, we believe that strong ... Help manage virtual machines, containers, and related infrastructure. * Assist with configuration ...

HDR

VCF Platform Engineer 1

Vienna, VA · On-site

$52.25 - $65.25/hr

... resources, and assist with lifecycle operations. Responsibilities : • Perform day-to-day ... virtual machine hosting environments. • Monitor platform health, utilization, and capacity ...

New

Booz Allen Hamilton

DevSecOps Engineer

Arlington, VA

$62K - $141K/yr

As a DevOps engineer, you know how to set up cloud environments and provision computer networking ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

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Virtual Assistant Engineer information

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.

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 Virtual Assistant Engineers?

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.

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.

What are popular job titles related to Virtual Assistant Engineer jobs in Virginia? For Virtual Assistant Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Virtual Assistant Engineer jobs in Virginia look for? The top searched job categories for Virtual Assistant Engineer jobs in Virginia are:
What cities in Virginia are hiring for Virtual Assistant Engineer jobs? Cities in Virginia with the most Virtual Assistant Engineer job openings:
Virtual Assistant Engineer jobs near you

Conversational AI & Language Engineering Lead

Bank of America

Richmond, VA • On-site

$100.30K - $132.20K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Bank of America is committed to helping make financial lives better through every connection. The Conversational AI & Language Engineering Lead is responsible for defining and leading the engineering approach for complex features, managing teams, and ensuring the long-term health of machine learning capabilities powering the employee-facing Virtual Assistant.
Responsibilities:
• Own the end‑to‑end technical strategy for language engineering, NLU, and conversational AI across web, mobile, and voice channels.
• Define and evolve the intent portfolio and domain coverage (e.g., technology, human resources), ensuring alignment between conversation design, business needs, and ML capabilities.
• Establish standards and best practices for model quality, evaluation, telemetry, and lifecycle management.
• Provide senior‑level technical oversight for model design, training approaches, performance tradeoffs, and production readiness.
• Serve as the accountable owner for model governance, including current and future registered models.
• Help transition a mature deterministic solution with over 650 capabilities to leverage Generative and Agentic AI.
• Define the conversational AI roadmap, integrating traditional NLU techniques with LLM and GenAI capabilities where appropriate.
• Partner with product owners, UX researchers, data scientists, and engineering leaders to shape the “brain” of the virtual assistant.
• Translate complex technical topics into clear, executive‑level communication for stakeholders and leadership.
• Identify systemic gaps or underperforming areas through analytics and conversation monitoring and drive multi‑quarter improvement plans.
Qualifications:
Required:
• Proven experience leading teams delivering conversational AI, NLP, or language‑driven ML solutions.
• Strong background in natural language processing, intent classification, and speech recognition, with the ability to guide others rather than execute all work personally.
• Experience shaping and executing technical strategy across multiple domains and channels.
• Familiarity with LLMs and GenAI, including their application, limitations, and governance considerations in enterprise environments.
• Working knowledge of Python, ML workflows, and evaluation techniques sufficient to provide technical leadership and oversight.
• Experience with Agile and DevOps operating models.
• Strong analytical thinking, decision‑making, and executive communication skills.
Company:
Bank of America is a financial institution that offers credit cards, home loans, and auto loan services. Founded in 1998, the company is headquartered in Charlotte, USA, with a team of 10001+ employees. The company is currently Late Stage.

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