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 visa, 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
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implementations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
ROLE OVERVIEW
Key Responsibilities
- End-to-End Development:** Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
- Architecture Migration:** Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
- Enterprise Integration:** Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
- Omnichannel Dialog Management:** Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
- Live Chat and Case Management:** Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
- NLU and LLM Orchestration:** Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
- Performance Optimization:** Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
- Cross-Functional Collaboration:** Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
BASIC QUALIFICATIONS
Required Experience
- 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
- Microsoft Bot Stack Expertise:** Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
- Core Backend Skills:** Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
- Enterprise Systems Integration:** Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
PREFERRED QUALIFICATIONS
- Data and State Management:** Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
- Analytics Driven:** Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
- Modern DevOps:** Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
- Industry Context:** Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
- Soft Skills:** Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
BENEFITS & CULTURE
- Cutting-Edge Innovation:** Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
- Impact-Driven Work:** Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
- Professional Growth:** Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.
Notes:
40 hours per week (no overtime)
Remote
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
INTRODUCTION
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implementations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
ROLE OVERVIEW
Key Responsibilities
- End-to-End Development:** Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
- Architecture Migration:** Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
- Enterprise Integration:** Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
- Omnichannel Dialog Management:** Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
- Live Chat and Case Management:** Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
- NLU and LLM Orchestration:** Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
- Performance Optimization:** Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
- Cross-Functional Collaboration:** Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
BASIC QUALIFICATIONS
Required Experience
- 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
- Microsoft Bot Stack Expertise:** Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
- Core Backend Skills:** Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
- Enterprise Systems Integration:** Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
PREFERRED QUALIFICATIONS
- Data and State Management:** Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
- Analytics Driven:** Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
- Modern DevOps:** Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
- Industry Context:** Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
- Soft Skills:** Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
BENEFITS & CULTURE
- Cutting-Edge Innovation:** Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
- Impact-Driven Work:** Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
- Professional Growth:** Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.
Notes:
40 hours per week (no overtime)
Remote
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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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.
Frequently 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 visa 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.