H-1B Visa Conversational AI Engineer Jobs
Conversational AI Engineer roles sit squarely within H-1B specialty occupation requirements, with most positions classified under SOC codes for software developers or AI/ML engineers. Employers filing LCAs for these roles routinely appear in DOL disclosure data, making sponsorship history verifiable before you apply.
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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 H-1B Visa Sponsorship as a Conversational AI Engineer
Align your portfolio to specialty occupation standards
USCIS evaluates whether your role requires a directly related bachelor's degree or higher. Document how your NLP, dialogue systems, or LLM fine-tuning work maps to a specific field, not just general computer science.
Search LCA filings for verified sponsoring employers
Use Migrate Mate to filter employers by H-1B LCA filing history for AI and software engineering roles. DOL disclosure data shows which companies have filed for positions matching your occupation code.
Verify prevailing wage before negotiating your offer
Your employer must certify your salary meets the DOL prevailing wage for your job zone and location. Run your role through the OFLC Wage Search before accepting an offer to confirm the number is defensible.
Build a degree-to-role equivalency argument in advance
Conversational AI Engineer isn't a rigid degree track. If your degree is in linguistics, cognitive science, or mathematics, prepare a written equivalency narrative mapping coursework to NLP and AI system requirements before your employer files.
Conversational AI Engineer jobs are hiring across the US. Find yours.
Find Conversational AI Engineer JobsConversational AI Engineer H-1B Visa: Frequently Asked Questions
Does a Conversational AI Engineer role qualify as an H-1B specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, computational linguistics, or artificial intelligence. USCIS scrutinizes job descriptions closely for these roles, so your employer's LCA and I-129 petition should specify the exact technical requirements and degree field, not just a generic engineering title.
How do I find employers who actively sponsor H-1B visas for AI roles?
Search Migrate Mate to browse Conversational AI Engineer positions filtered by employers with verified H-1B LCA filing history. DOL disclosure data is publicly available, and Migrate Mate surfaces it by role and employer so you can prioritize companies that have sponsored similar positions before applying.
What happens to my H-1B if my employer pivots away from conversational AI products?
Your H-1B is tied to the specific role and employer in the approved petition. If your duties change substantially, your employer may need to file an amended I-129. A shift from conversational AI engineering to a general software development role can affect whether the specialty occupation classification still holds, so flag any significant title or duty changes to your employer's immigration counsel promptly.
Can I work on open-source LLM projects while on H-1B sponsorship?
H-1B status permits employment only with your sponsoring employer unless you hold concurrent H-1B approval from a second employer. Unpaid open-source contributions are generally not considered employment, but if you're receiving compensation, equity, or structured contractor arrangements from a separate entity, that requires its own H-1B filing. Confirm the structure with your employer before committing.
How does the DOL prevailing wage requirement affect Conversational AI Engineer offers?
Your employer must certify on the LCA that your salary meets the DOL prevailing wage for your specific SOC code and work location. Conversational AI Engineer roles often map to software developer or AI specialist SOC codes, which carry different wage levels by region. Use the OFLC Wage Search to check the applicable wage tier before your employer submits the LCA, so there are no surprises during filing.
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