Conversational AI Engineer Green Card Jobs
Conversational AI Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which permanently ties your residency to a U.S. employer rather than a temporary visa cycle. Employers file the I-140 petition after PERM certification, covering natural language processing, dialogue systems, and LLM integration work that consistently meets specialty occupation standards.
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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/.
See all 13+ Conversational AI Engineer jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Conversational AI Engineer
Document your NLP specialization before applying
PERM requires your employer to prove no qualified U.S. worker is available for your specific role. Detailed records of your work with transformer architectures, intent classification, or dialogue management make that job definition harder to challenge during DOL audit.
Target employers with active PERM filing history
Use Migrate Mate to filter Conversational AI Engineer roles by employers who have previously filed PERM applications, so you're spending time on companies already familiar with the EB-2 and EB-3 sponsorship process rather than educating HR from scratch.
Verify your role maps to the right EB category
EB-2 requires a master's degree or equivalent in a directly related field; EB-3 covers bachelor's-level professionals. Check the O*NET profile for Conversational AI and related SOC codes to confirm which category your combination of degree and experience supports before your employer files.
Request prevailing wage determination early in negotiations
Your employer must submit a prevailing wage request to OFLC before advertising the role for PERM. Cross-check the OFLC Wage Search for your job zone and metro area so your negotiated offer already meets or exceeds that threshold and doesn't delay filing.
Understand how priority date backlogs affect your timeline
EB-2 and EB-3 green card availability depends on your country of birth, not citizenship. If you were born in India or China, your priority date may be years behind the current cutoff, so plan your H-1B renewals or other bridging status accordingly while your I-140 is pending.
Prepare a degree equivalency evaluation before the I-140 stage
If your Conversational AI or computer science degree is from outside the U.S., USCIS requires a credential evaluation showing it is equivalent to a U.S. bachelor's or master's degree. Obtain this from a NACES-member evaluator before your employer files the I-140 petition to avoid a Request for Evidence.
Conversational AI Engineer jobs are hiring across the US. Find yours.
Find Conversational AI Engineer JobsConversational AI Engineer Green Card Sponsorship: Frequently Asked Questions
Does a Conversational AI Engineer role qualify for EB-2 green card sponsorship?
Yes, if the position requires a master's degree or higher in computer science, linguistics, or a related field, it qualifies under EB-2. Roles centered on large language model fine-tuning, dialogue system architecture, or speech recognition research routinely meet this standard. EB-3 covers the same job at the bachelor's degree level, giving employers a fallback if your credentials fit that category instead.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B is a temporary nonimmigrant status capped at 65,000 new slots per year, subject to an annual lottery. PERM-based green card sponsorship has no annual cap at the petition stage and results in permanent residency rather than a renewable temporary status. The tradeoff is timeline: PERM labor certification plus I-140 approval can take one to three years before your priority date becomes current, depending on your country of birth.
What makes a Conversational AI Engineer job description PERM-compliant?
The job description must specify a minimum degree requirement directly tied to the duties, such as a master's in computational linguistics or computer science with a focus on NLP. DOL scrutinizes descriptions that list overly broad or generalist requirements. Your employer's attorney should draft duties around your actual work, such as training intent models, building ASR pipelines, or deploying voice interface systems, not generic software engineering language.
How do I find Conversational AI Engineer jobs where the employer will sponsor a green card?
Search Migrate Mate for Conversational AI Engineer roles filtered by employers with PERM filing history. This saves significant time because most job postings don't advertise green card sponsorship directly, and cold outreach to HR about immigration support rarely works without prior evidence the company has sponsored similar roles.
Can I change employers after my I-140 is approved but before I get my green card?
Yes. Under AC21 portability, once your I-140 has been approved and your priority date has been pending for more than 180 days, you can move to a new employer in a same or similar occupational classification without losing your priority date. For Conversational AI Engineers, a new role in NLP, machine learning, or applied AI research typically satisfies the same-or-similar standard, though your new employer's attorney should confirm the SOC code match.
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