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Language Engineer Jobs in Virginia (NOW HIRING)

CTC Group

Indonesian Language Instructor

Reston, VA · On-site

$170K - $190K/yr

Summary CTC Group is seeking cleared Language Instructors to support foreign language instruction ... We specialize in providing engineering, technical, operational support, and training services to ...

CTC Group

Italian Language Instructor

Reston, VA · On-site

$150K - $170K/yr

Summary CTC Group is seeking cleared Language Instructors to support foreign language instruction ... We specialize in providing engineering, technical, operational support, and training services to ...

CTC Group

Vietnamese Language Instructor

Reston, VA · On-site

$170K - $190K/yr

Summary CTC Group is seeking cleared Language Instructors to support foreign language instruction ... We specialize in providing engineering, technical, operational support, and training services to ...

CTC Group

Korean Language Instructor

Reston, VA · On-site

$150K - $170K/yr

Summary CTC Group is seeking cleared Language Instructors to support foreign language instruction ... We specialize in providing engineering, technical, operational support, and training services to ...

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All JobsLanguage Engineer JobsLanguage Engineer Jobs in Virginia

Language Engineer information

See Virginia salary details

$38.7K

$100.9K

$136.3K

How much do language engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for language engineer in Virginia is $100,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Language Engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a Language Engineer job?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What are the key skills and qualifications needed to thrive in the Language Engineer position, and why are they important?

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

What are the most commonly searched types of Language Engineer jobs in Virginia? The most popular types of Language Engineer jobs in Virginia are:
What are popular job titles related to Language Engineer jobs in Virginia? For Language Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Language Engineer jobs in Virginia look for? The top searched job categories for Language Engineer jobs in Virginia are:
Language Engineer jobs near you
Infographic showing various Language Engineer job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $100,879 per year, or $48.5 per hour.

Conversational AI & Language Engineering Lead

Bank of America

Richmond, VA • On-site

$122K - $200K/yr

Full-time

PTO

Posted 23 days ago

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Conversational AI & Language Engineering LeadThis job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.Job Description:The Conversational AI & Language Engineering role, is a senior leadership position, responsible for setting the technical vision, managing teams, and ensuring the long-term health and performance of the machine learning capabilities powering Bank of America's employee facing Virtual Assistant.This role is leadership first: accountable for strategy, governance, prioritization, and outcomes across natural language understanding (NLU), speech recognition, and LLM based capabilities.Additionally, this job is accountable for end-to-end solution design and delivery.Key ResponsibilitiesTechnology Leadership & Ownership
  • Own the endtoend 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 seniorlevel 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.
Strategy, Roadmap & Stakeholder Partnership
  • 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, executivelevel communication for stakeholders and leadership.
  • Identify systemic gaps or underperforming areas through analytics and conversation monitoring and drive multiquarter improvement plans.
Required Skills & Experience
  • Proven experience leading teams delivering conversational AI, NLP, or languagedriven 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, decisionmaking, and executive communication skills.

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130)Pay and benefits informationPay range$122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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