E-3 Visa AI Architect Jobs
AI Architect roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, AI, or a related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. roles in machine learning infrastructure, large language model deployment, and enterprise AI strategy.
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Get Access To All JobsINTRODUCTION
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency, and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
ROLE AND RESPONSIBILITIES
The Genesys AI Architect is a presales AI specialist who supports customer-facing AI opportunities across three core motions:
- Supporting strategic AI opportunities with customers and sales teams
- Helping scale the field through reusable assets, technical enablement, and coaching
- Sharing product and go-to-market feedback based on customer and field experience
This role requires a strong foundation in AI, customer experience technology, sales communication, and solution design. The AI Architect helps translate complex AI capabilities into clear business value, supports technical discovery and demonstrations, and partners with internal teams to help customers validate and adopt Genesys AI solutions.
Key Responsibilities
- Design AI solutions for customer experience use cases, including self-service, agent assistance, journey management, and back-office automation. Support solution designs that combine LLMs, deterministic workflows, tools, orchestration layers, fallback strategies, and human handoff patterns.
- Support retrieval-augmented generation, knowledge, and content strategies that help ground AI responses in trusted enterprise data. Assist with approaches for content structure, chunking, retrieval, relevance, and freshness while balancing performance, latency, and governance considerations.
- Help define AI evaluation approaches and quality measurement strategies for customer-facing AI experiences. Support the creation of test sets, feedback loops, and success metrics tied to accuracy, containment, customer satisfaction, business impact, and adoption.
- Assist in designing contextual AI experiences that use real-time data, conversation state, customer information, interaction history, and external signals to create more relevant and personalized customer and employee experiences.
- Support solution design decisions related to scalability, latency, reliability, and cost efficiency in enterprise environments. Help evaluate trade-offs across model selection, caching, orchestration, architecture patterns, and production-readiness considerations.
- Leverage strong working knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
- Support presales activities including technical discovery, solution design, product demonstrations, sandbox and trial engagements, AI integration guidance, and value assessments.
- Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, success criteria, and differentiated Genesys AI value.
- Partner with account teams and Professional Services to help transition successful prototypes into production pilots, including technical handoff, solution hardening, KPI alignment, and business outcome validation.
- Build and support integrations to third-party systems via RESTful APIs and emerging interoperability patterns, showcasing what is possible with Genesys Cloud AI solutions.
- Develop reusable technical assets and help enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
- Provide field feedback and customer insights to Product Management and Engineering related to AI product design, implementation considerations, and customer-driven enhancements.
- Engage with technical and business stakeholders to position Genesys AI as part of a customer’s broader customer experience, IT, and transformation strategy.
BASIC QUALIFICATIONS
- AI Architecture & Technical Judgment: Hands-on experience supporting or designing AI solutions for customer experience, contact center, automation, or enterprise workflow use cases. Familiarity with classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use, and agentic approaches. Ability to evaluate architecture trade-offs across latency, cost, explainability, governance, multilingual needs, and business risk.
- Agentic Coding & Automation Experience: Practical experience using AI-assisted or agentic coding tools to build, test, debug, and iterate on solution prototypes, integrations, and automation workflows. Comfortable working with common programming languages such as Python, JavaScript, or similar, and able to apply coding skills to accelerate technical validation, API integrations, and proof-of-value development.
- Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and AI workflow patterns as part of broader solution design.
- Integration & Real-Time Design: Practical experience integrating AI or cloud solutions with enterprise platforms, knowledge sources, RESTful APIs, identity systems, event-driven architectures, or broader cloud ecosystems. Understanding of real-world constraints such as voice latency, fallback paths, throughput, reliability, and secure data access.
- Evaluation, Governance & Observability: Ability to support AI evaluation strategies, success metrics, and monitoring approaches across testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
- Communication & Field Enablement: Strong ability to explain technical concepts in clear business terms for both technical and non-technical stakeholders. Comfortable creating reusable assets, workshops, and enablement content that help scale field capability.
- Technical Demonstration Skills: Ability to create, deliver, and adapt compelling technical demonstrations and presentations that explain AI capabilities, integration points, and business impact.
- Sales Acumen: Experience partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning that supports opportunity progression.
- Business Value Orientation: Ability to identify opportunities for process improvement and recommend AI-driven solutions that improve customer experience, operational efficiency, and measurable business outcomes.
- Stakeholder Presence: Ability to engage confidently with customer stakeholders, including technical leaders, business leaders, and executive audiences.
- Strong understanding of Genesys Cloud and Genesys AI preferred.
COMPENSATION:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$111,700.00 - $196,300.00
BENEFITS:
- Medical, Dental, and Vision Insurance.
- Telehealth coverage
- Flexible work schedules and work from home opportunities
- Development and career growth opportunities
- Open Time Off in addition to 10 paid holidays
- 401(k) matching program
- Adoption Assistance
- Fertility treatments
LOCATION
- New York, USA
- California, USA
- Texas, USA
- Florida, USA
ABOUT GENESYS:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data, and AI across the enterprise. As a result, organizations can drive customer loyalty, growth, and retention while increasing operational efficiency and teamwork across human and AI workforces.
REASONABLE ACCOMMODATIONS:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.
EEO STATEMENT
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
INTRODUCTION
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency, and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
ROLE AND RESPONSIBILITIES
The Genesys AI Architect is a presales AI specialist who supports customer-facing AI opportunities across three core motions:
- Supporting strategic AI opportunities with customers and sales teams
- Helping scale the field through reusable assets, technical enablement, and coaching
- Sharing product and go-to-market feedback based on customer and field experience
This role requires a strong foundation in AI, customer experience technology, sales communication, and solution design. The AI Architect helps translate complex AI capabilities into clear business value, supports technical discovery and demonstrations, and partners with internal teams to help customers validate and adopt Genesys AI solutions.
Key Responsibilities
- Design AI solutions for customer experience use cases, including self-service, agent assistance, journey management, and back-office automation. Support solution designs that combine LLMs, deterministic workflows, tools, orchestration layers, fallback strategies, and human handoff patterns.
- Support retrieval-augmented generation, knowledge, and content strategies that help ground AI responses in trusted enterprise data. Assist with approaches for content structure, chunking, retrieval, relevance, and freshness while balancing performance, latency, and governance considerations.
- Help define AI evaluation approaches and quality measurement strategies for customer-facing AI experiences. Support the creation of test sets, feedback loops, and success metrics tied to accuracy, containment, customer satisfaction, business impact, and adoption.
- Assist in designing contextual AI experiences that use real-time data, conversation state, customer information, interaction history, and external signals to create more relevant and personalized customer and employee experiences.
- Support solution design decisions related to scalability, latency, reliability, and cost efficiency in enterprise environments. Help evaluate trade-offs across model selection, caching, orchestration, architecture patterns, and production-readiness considerations.
- Leverage strong working knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
- Support presales activities including technical discovery, solution design, product demonstrations, sandbox and trial engagements, AI integration guidance, and value assessments.
- Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, success criteria, and differentiated Genesys AI value.
- Partner with account teams and Professional Services to help transition successful prototypes into production pilots, including technical handoff, solution hardening, KPI alignment, and business outcome validation.
- Build and support integrations to third-party systems via RESTful APIs and emerging interoperability patterns, showcasing what is possible with Genesys Cloud AI solutions.
- Develop reusable technical assets and help enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
- Provide field feedback and customer insights to Product Management and Engineering related to AI product design, implementation considerations, and customer-driven enhancements.
- Engage with technical and business stakeholders to position Genesys AI as part of a customer’s broader customer experience, IT, and transformation strategy.
BASIC QUALIFICATIONS
- AI Architecture & Technical Judgment: Hands-on experience supporting or designing AI solutions for customer experience, contact center, automation, or enterprise workflow use cases. Familiarity with classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use, and agentic approaches. Ability to evaluate architecture trade-offs across latency, cost, explainability, governance, multilingual needs, and business risk.
- Agentic Coding & Automation Experience: Practical experience using AI-assisted or agentic coding tools to build, test, debug, and iterate on solution prototypes, integrations, and automation workflows. Comfortable working with common programming languages such as Python, JavaScript, or similar, and able to apply coding skills to accelerate technical validation, API integrations, and proof-of-value development.
- Prompt Design & AI Workflow Optimization: Practical experience designing prompts, context strategies, and AI workflow patterns as part of broader solution design.
- Integration & Real-Time Design: Practical experience integrating AI or cloud solutions with enterprise platforms, knowledge sources, RESTful APIs, identity systems, event-driven architectures, or broader cloud ecosystems. Understanding of real-world constraints such as voice latency, fallback paths, throughput, reliability, and secure data access.
- Evaluation, Governance & Observability: Ability to support AI evaluation strategies, success metrics, and monitoring approaches across testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
- Communication & Field Enablement: Strong ability to explain technical concepts in clear business terms for both technical and non-technical stakeholders. Comfortable creating reusable assets, workshops, and enablement content that help scale field capability.
- Technical Demonstration Skills: Ability to create, deliver, and adapt compelling technical demonstrations and presentations that explain AI capabilities, integration points, and business impact.
- Sales Acumen: Experience partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning that supports opportunity progression.
- Business Value Orientation: Ability to identify opportunities for process improvement and recommend AI-driven solutions that improve customer experience, operational efficiency, and measurable business outcomes.
- Stakeholder Presence: Ability to engage confidently with customer stakeholders, including technical leaders, business leaders, and executive audiences.
- Strong understanding of Genesys Cloud and Genesys AI preferred.
COMPENSATION:
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.
$111,700.00 - $196,300.00
BENEFITS:
- Medical, Dental, and Vision Insurance.
- Telehealth coverage
- Flexible work schedules and work from home opportunities
- Development and career growth opportunities
- Open Time Off in addition to 10 paid holidays
- 401(k) matching program
- Adoption Assistance
- Fertility treatments
LOCATION
- New York, USA
- California, USA
- Texas, USA
- Florida, USA
ABOUT GENESYS:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data, and AI across the enterprise. As a result, organizations can drive customer loyalty, growth, and retention while increasing operational efficiency and teamwork across human and AI workforces.
REASONABLE ACCOMMODATIONS:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.
EEO STATEMENT
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
See all 308+ E-3 Visa AI Architect Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Architect Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in AI Architect
Frame your credentials for U.S. specialty occupation
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 visa purposes, but your offer letter must tie your specific degree field to the AI Architect role. Ask your employer to state that a degree in computer science, AI, or a related field is a minimum requirement.
Target employers with active LCA filing history
Search the DOL's OFLC public disclosure data for employers who have filed Labor Condition Applications for AI or machine learning architect roles. Prior LCA activity signals that a company already understands the E-3 sponsorship process and won't stall on paperwork after you accept an offer.
Address dual intent before your interview
The E-3 is a nonimmigrant visa, so consular officers expect you to demonstrate intent to return to Australia when your role ends. Prepare a clear answer about your ties to Australia: property, family, professional commitments. This matters more for senior AI roles that attract green card pathways.
Use Migrate Mate's E-3 filing service for complex scopes
AI Architect roles often involve multi-site or client-facing work arrangements that can complicate LCA filing. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork, ensuring the prevailing wage level and worksite details are filed correctly the first time.
Negotiate LCA filing into your offer timeline
The DOL certifies most LCAs within seven business days, but your employer must post the LCA at your primary worksite for ten calendar days before submitting. Build this into your start-date negotiation so onboarding isn't delayed by a filing window your employer didn't anticipate.
Verify E-Verify enrollment before signing a remote offer
If you're accepting a fully remote AI Architect role, confirm your employer is enrolled in E-Verify before you sign. Remote arrangements trigger specific LCA worksite rules, and some smaller AI startups haven't completed E-Verify enrollment, which creates complications at the consulate stage.
E-3 Visa AI Architect: Frequently Asked Questions
How do I find AI Architect jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces U.S. AI Architect roles from employers with active E-3 and LCA filing history, so you're not cold-applying to companies that have never sponsored an Australian professional. Filter by role and location to identify employers already familiar with the E-3 process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI Architect role qualify as a specialty occupation for the E-3?
Yes. AI Architect positions require at minimum a bachelor's degree in computer science, artificial intelligence, machine learning, or a closely related field, which meets the DOL and USCIS specialty occupation standard. The key is that your employer's job description must specify the degree requirement explicitly, not just list it as preferred. Roles that accept any bachelor's degree regardless of field may not qualify.
How does the E-3 compare to the H-1B for AI Architect roles?
For Australian nationals, the E-3 is a significantly more reliable path. The H-1B visa is subject to an annual lottery with roughly a one-in-four selection rate for most applicants, meaning you could have an offer and still not secure authorization. The E-3 has no lottery and no numerical cap, so a qualified AI Architect with a valid job offer can apply directly without waiting for a selection result.
Can I switch employers after starting on an E-3 as an AI Architect?
Yes, but the process restarts with each new employer. Your new employer must file a fresh LCA with the DOL and you'll need a new E-3 visa stamp if you travel internationally, or a change of status filing if you remain in the U.S. There's no portability provision equivalent to AC21 on the E-3, so plan the transition timeline carefully with your new employer before resigning.