Conversational AI Engineer Jobs in USA with Visa Sponsorship
Conversational AI Engineers are in high demand from U.S. employers willing to sponsor H-1B visa, O-1, and EB-1 visas. The role qualifies as a specialty occupation, and LCA filings for AI engineering positions have grown sharply over the past two years. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.
As the Staff Conversational AI Engineer, you will be at the forefront of designing and implementing intelligent and natural conversational solutions. You will work hands-on with Google's CCAI suite, including Dialogflow CX, Agent Assist, Vertex AI and CCAI Insights, to create seamless and personalized user journeys. Your work will directly contribute to improving member satisfaction, streamlining internal workflows, and solidifying Collective Health's position as an innovator in the healthcare industry.
ROLE AND RESPONSIBILITIES
What you'll do:
- Lead the architecture, design, development, and deployment of sophisticated conversational AI applications on the Google CCAI platform to serve a variety of consumer and internal use cases.
- Architect and build robust, scalable, and maintainable conversational flows and virtual agents using Google Dialogflow CX and DialogFlow APIs.
- Integrate and optimize Google Agent Assist to empower our member-facing teams with real-time guidance and support.
- Leverage CCAI Insights to analyze conversation data, identify trends, and continuously improve the performance and effectiveness of our AI-driven interactions.
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence in the AI space.
- Collaborate closely with product managers, designers, and other engineering teams to define the product vision, roadmap, and user experience for conversational AI initiatives.
- Manage stakeholder expectations and communicate technical concepts and project progress to both technical and non-technical audiences.
- Stay at the forefront of advancements in conversational AI, natural language processing (NLP), and large language models (LLMs), and champion the adoption of new technologies and best practices.
BASIC QUALIFICATIONS
To be successful in this role, you'll need:
- Proven, hands-on experience in designing, building, and launching production-level conversational AI experiences is essential for success in this role.
- In-depth knowledge and practical experience with the Google Cloud Contact Center AI (CCAI) platform, including Dialogflow CX, Agent Assist, and CCAI Insights.
- Strong understanding of natural language understanding (NLU), natural language generation (NLG), multi-language support and the principles of conversational design.
- Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data.
- Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management.
- Experienced in prompt engineering, building, enhancing and maintaining custom RAG pipelines.
- Proficiency in javascript and in one or more languages such as Python or Java.
- Experience with API integrations and connecting conversational interfaces with backend systems and data sources.
- Demonstrated ability to lead and mentor engineering teams, with a passion for sharing knowledge and fostering technical growth.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- A strategic mindset with the ability to translate business needs into technical solutions and a long-term vision for conversational AI.
- Knowledge of training and tuning topic modelling algorithms like LDA and NMF is a huge plus.
- Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric.
- A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
PREFERRED QUALIFICATIONS
Nice to Have:
- Experience Optimizing LLM engines.
- Experience building AI applications with Claude, OpenAI or LLaMa models.
LOCATION
This is a hybrid position based out of our Plano office, with the expectation of being in office at least three weekdays per week.
COMPENSATION
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 330,000 stock options and benefits like health insurance, 401k, and paid time off.
Plano, TX Pay Range
$176,000—$220,000 USD
WHY JOIN US?
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare.
- Impactful projects that shape the future of our organization.
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests.
- Flexible work arrangements and a supportive work-life balance.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.
INTRODUCTION
At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.
As the Staff Conversational AI Engineer, you will be at the forefront of designing and implementing intelligent and natural conversational solutions. You will work hands-on with Google's CCAI suite, including Dialogflow CX, Agent Assist, Vertex AI and CCAI Insights, to create seamless and personalized user journeys. Your work will directly contribute to improving member satisfaction, streamlining internal workflows, and solidifying Collective Health's position as an innovator in the healthcare industry.
ROLE AND RESPONSIBILITIES
What you'll do:
- Lead the architecture, design, development, and deployment of sophisticated conversational AI applications on the Google CCAI platform to serve a variety of consumer and internal use cases.
- Architect and build robust, scalable, and maintainable conversational flows and virtual agents using Google Dialogflow CX and DialogFlow APIs.
- Integrate and optimize Google Agent Assist to empower our member-facing teams with real-time guidance and support.
- Leverage CCAI Insights to analyze conversation data, identify trends, and continuously improve the performance and effectiveness of our AI-driven interactions.
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence in the AI space.
- Collaborate closely with product managers, designers, and other engineering teams to define the product vision, roadmap, and user experience for conversational AI initiatives.
- Manage stakeholder expectations and communicate technical concepts and project progress to both technical and non-technical audiences.
- Stay at the forefront of advancements in conversational AI, natural language processing (NLP), and large language models (LLMs), and champion the adoption of new technologies and best practices.
BASIC QUALIFICATIONS
To be successful in this role, you'll need:
- Proven, hands-on experience in designing, building, and launching production-level conversational AI experiences is essential for success in this role.
- In-depth knowledge and practical experience with the Google Cloud Contact Center AI (CCAI) platform, including Dialogflow CX, Agent Assist, and CCAI Insights.
- Strong understanding of natural language understanding (NLU), natural language generation (NLG), multi-language support and the principles of conversational design.
- Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data.
- Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management.
- Experienced in prompt engineering, building, enhancing and maintaining custom RAG pipelines.
- Proficiency in javascript and in one or more languages such as Python or Java.
- Experience with API integrations and connecting conversational interfaces with backend systems and data sources.
- Demonstrated ability to lead and mentor engineering teams, with a passion for sharing knowledge and fostering technical growth.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
- A strategic mindset with the ability to translate business needs into technical solutions and a long-term vision for conversational AI.
- Knowledge of training and tuning topic modelling algorithms like LDA and NMF is a huge plus.
- Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric.
- A bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
PREFERRED QUALIFICATIONS
Nice to Have:
- Experience Optimizing LLM engines.
- Experience building AI applications with Claude, OpenAI or LLaMa models.
LOCATION
This is a hybrid position based out of our Plano office, with the expectation of being in office at least three weekdays per week.
COMPENSATION
The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 330,000 stock options and benefits like health insurance, 401k, and paid time off.
Plano, TX Pay Range
$176,000—$220,000 USD
WHY JOIN US?
- Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare.
- Impactful projects that shape the future of our organization.
- Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests.
- Flexible work arrangements and a supportive work-life balance.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
Privacy Notice
For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Conversational AI Engineer
Emphasize NLP and LLM depth, not breadth
Employers sponsoring visas want specialists, not generalists. Highlight concrete work with large language models, fine-tuning pipelines, or dialogue systems. Specific technical depth makes the specialty occupation case easier for immigration counsel to build.
Target companies with active LCA filings
Companies that have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are far more likely to sponsor again. Search DOL disclosure data to confirm a company's sponsorship history before investing time in an application.
Frame your degree field precisely
Computer Science, Computational Linguistics, and AI or Machine Learning degrees map cleanly to this role. If your degree is in a related field like Mathematics or Cognitive Science, document how your coursework and experience directly support conversational AI work.
Get your portfolio in GitHub-shareable format
Hiring managers for AI roles assess deployed projects, not just resumes. A public repo showing a working chatbot, voice assistant, or dialogue model signals real capability and accelerates hiring decisions, which matters when H-1B cap deadlines are involved.
Understand the H-1B lottery timeline before applying
H-1B registration opens in March for an October 1 start date. If you need sponsorship by a specific date, work backward from that deadline. Missing the registration window means waiting a full year, so timing your job search accordingly is critical.
Ask directly about sponsorship in early conversations
Many AI teams want to hire but have not yet confirmed sponsorship budget or legal counsel availability. Raising it early in the recruiting process surfaces real blockers before you invest weeks in interviews and technical assessments with no viable path forward.
Conversational AI Engineer jobs are hiring across the US. Find yours.
Find Conversational AI Engineer JobsFrequently Asked Questions
Does a Conversational AI Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Conversational AI Engineer roles consistently qualify as specialty occupations because they require a bachelor's degree or higher in a specific technical field such as Computer Science, Computational Linguistics, or Artificial Intelligence. USCIS has approved H-1B petitions for AI and NLP engineering roles at a high rate, particularly when the job description clearly requires specialized theoretical and applied knowledge in language model development or dialogue system architecture.
What visa types are realistic for Conversational AI Engineers seeking U.S. work authorization?
H-1B is the most common path, but the annual lottery creates uncertainty. O-1A is a strong alternative for engineers with published research, patents, or recognition from the AI community. Australians can use the E-3 visa, which has no lottery and a fast approval timeline. Canadian and Mexican nationals can explore the TN visa under the Computer Systems Analyst or Engineer category, depending on role specifics.
How can I find U.S. employers willing to sponsor a visa for this role?
Migrate Mate is the most direct way to find Conversational AI Engineer roles from employers actively open to visa sponsorship. Beyond that, DOL LCA disclosure data shows which companies have filed for similar roles in recent years, giving you a verifiable list of sponsorship-willing employers to prioritize in your search.
Does my degree field need to match exactly, or can related fields qualify?
An exact match is not required, but the connection needs to be defensible. Computer Science, Machine Learning, AI, and Computational Linguistics map directly to the role. Degrees in Mathematics, Electrical Engineering, or Cognitive Science can work if your coursework or graduate specialization involved natural language processing or machine learning. The weaker the field match, the more your experience and job duties need to close the gap in the H-1B petition.
Are startups realistic sponsorship options for Conversational AI Engineers, or should I focus on large companies?
Well-funded AI startups are realistic sponsors, particularly Series B and later companies building products around LLMs or voice interfaces. The key variable is whether the company has immigration counsel on retainer and a track record of completing H-1B petitions. Early-stage startups may be willing but lack the infrastructure to execute sponsorship reliably. Ask about their legal counsel and any previous sponsored employees during the interview process.
What is the prevailing wage requirement for sponsored Conversational AI Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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