H-1B Visa Conversational AI Engineer Jobs
Conversational AI Engineer roles sit squarely within H-1B visa 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
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.
See all H-1B Visa Conversational AI Engineer Jobs
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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.
Target E-Verify enrolled employers for smoother STEM OPT transitions
If you're on OPT and moving toward H-1B sponsorship, your employer must be E-Verify enrolled. Confirm enrollment status during the offer stage, not after you've signed.
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.
Request premium processing at the I-129 filing stage
USCIS offers 15-business-day adjudication for an additional fee. For roles where your OPT expires close to the H-1B start date, premium processing reduces the gap risk your employer needs to manage.
H-1B Visa Conversational AI Engineer: 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.