Fintech Jobs in North Carolina with H-1B Sponsorship
North Carolina's fintech sector is concentrated in Charlotte, the second-largest banking hub in the United States, alongside growing tech corridors in Raleigh and Durham. Major employers including Bank of America, Truist Financial, and LendingTree have sponsored H-1B workers in North Carolina for software engineering, data, and financial technology roles.
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INTRODUCTION
Avalara is an AI-first company. As AI continues to transform Sales, Service, Legal, Finance, and IT, we must ensure our AI capabilities are architected responsibly, securely, and at enterprise scale. The Principal Enterprise AI & Platform Architect defines and governs Avalara’s AI enablement architecture across customer-facing systems, internal operational platforms, and core enterprise technologies including Salesforce, ServiceNow, Finance platforms, Legal systems, and supporting infrastructure. This strategic, cross-functional leadership role translates enterprise AI ambition into operational architecture standards and reusable design patterns. It ensures AI is not deployed as isolated use cases, but embedded into enterprise platforms through scalable integration patterns, governed data foundations, interoperable services, and economically viable models that drive measurable business outcomes. By aligning AI initiatives to clear value creation, reducing redundancy, enabling platform interoperability, and ensuring compliance across regulated workflows, this role protects Avalara’s operational integrity while accelerating AI-driven productivity, efficiency, and revenue impact.
ROLE AND RESPONSIBILITIES
What Your Responsibilities Will Be
How This Role Elevates Avalara
For the Business
- Enables AI adoption tied directly to revenue growth, operational efficiency, and risk reduction.
- Reduces duplication of AI initiatives across functions.
- Ensures AI investments scale across multiple domains.
For the Customer
- Improves customer experience through responsible AI in Sales and Service.
- Reduces operational friction via automation and predictive insights.
- Maintains trust through explainable, compliant AI systems.
For the Enterprise
- Establishes AI governance guardrails.
- Improves platform leverage across Salesforce, ServiceNow, Finance, Legal, and IT systems.
- Reduces shadow AI and ungoverned experimentation.
Key Responsibilities
Enterprise Platform & Functional Architecture
- Own the architectural integrity of enterprise back-office domains including Legal, Finance, IT (ServiceNow), and supporting operational platforms.
- Define and maintain target-state architecture across enterprise systems to ensure scalability, durability, interoperability, and economic efficiency.
- Rationalize overlapping tooling and reduce platform redundancy across corporate systems.
- Establish reusable integration patterns between enterprise systems and core platforms (Salesforce, ServiceNow, ERP, data platforms).
- Ensure architectural consistency across regulated workflows (contract lifecycle, financial controls, internal IT operations, compliance-driven processes).
- Partner with Domain Architects to align value stream strategies with enterprise platform capabilities.
Operational Architecture & Governance
- Define architectural standards for system design, integration, data flow, workflow automation, and control mechanisms.
- Ensure enterprise platforms meet security, compliance, auditability, and financial control requirements.
- Document architecture decisions and maintain enterprise reference models.
- Participate in architecture review boards and enforce cross-domain standards.
- Reduce technical debt and prevent shadow systems within corporate domains.
AI Governance & Risk Management
- Define explainability, traceability, and audit standards for AI-enabled workflows.
- Ensure AI systems meet security, privacy, regulatory, and financial control requirements.
- Partner with Legal, Security, Risk, and Compliance teams to establish responsible AI guardrails.
- Establish architectural review criteria for AI initiatives before production deployment.
- Ensure AI-enabled processes preserve governance integrity across regulated back-office domains.
AI Enablement Within Enterprise Platforms
- Embed AI capabilities into enterprise systems where they improve measurable operational outcomes.
- Integrate AI solutions through governed data foundations and reusable enterprise patterns.
- Align AI initiatives to economic viability, risk posture, and enterprise platform standards.
- Prevent isolated, duplicative, or unmanaged AI deployments across domains.
AI-Driven Operational Impact
Enable AI Use Cases That Measurably Improve
- Sales productivity
- Case resolution efficiency
- Legal review cycle time
- Finance exception handling
- IT ticket resolution automation
- Quantify AI performance impact (cost savings, time reduction, quality improvement).
- Ensure AI improves decision quality and control effectiveness — not just automation speed.
Enterprise Value & Investment Alignment
- Align enterprise platform architecture to measurable business outcomes (cost efficiency, compliance integrity, workflow acceleration, scalability).
- Support investment decisions through architectural tradeoff analysis tied to risk, cost, and performance.
- Ensure enterprise systems are positioned for AI scale without increasing operational risk exposure.
Cross-Functional Leadership
- Serve as the enterprise AI architecture authority across corporate domains.
- Partner with Domain Architects to embed AI patterns into value streams.
- Raise AI maturity across architecture and delivery teams.
- Participate in enterprise architecture governance forums and influence enterprise-wide standards.
- Drive alignment between AI ambition and operational architecture discipline.
BASIC QUALIFICATIONS
What You’ll Need To Be Successful
- B.S. in Computer Science or Engineering
- 10+ years of relevant enterprise architecture experience aligned to large-scale systems.
- 5+ years working with enterprise platforms (Salesforce, ServiceNow, ERP, Finance systems).
- Demonstrated experience embedding AI into operational workflows.
- Experience defining AI governance or model lifecycle controls.
- Strong understanding of enterprise data architecture and integration patterns.
- Experience influencing senior stakeholders across multiple business domains.
Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
- You’ll bring experience using AI and AI-related technologies, ready to thrive here.
- You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
- You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
PREFERRED QUALIFICATIONS
How We’ll Take Care Of You
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

INTRODUCTION
Avalara is an AI-first company. As AI continues to transform Sales, Service, Legal, Finance, and IT, we must ensure our AI capabilities are architected responsibly, securely, and at enterprise scale. The Principal Enterprise AI & Platform Architect defines and governs Avalara’s AI enablement architecture across customer-facing systems, internal operational platforms, and core enterprise technologies including Salesforce, ServiceNow, Finance platforms, Legal systems, and supporting infrastructure. This strategic, cross-functional leadership role translates enterprise AI ambition into operational architecture standards and reusable design patterns. It ensures AI is not deployed as isolated use cases, but embedded into enterprise platforms through scalable integration patterns, governed data foundations, interoperable services, and economically viable models that drive measurable business outcomes. By aligning AI initiatives to clear value creation, reducing redundancy, enabling platform interoperability, and ensuring compliance across regulated workflows, this role protects Avalara’s operational integrity while accelerating AI-driven productivity, efficiency, and revenue impact.
ROLE AND RESPONSIBILITIES
What Your Responsibilities Will Be
How This Role Elevates Avalara
For the Business
- Enables AI adoption tied directly to revenue growth, operational efficiency, and risk reduction.
- Reduces duplication of AI initiatives across functions.
- Ensures AI investments scale across multiple domains.
For the Customer
- Improves customer experience through responsible AI in Sales and Service.
- Reduces operational friction via automation and predictive insights.
- Maintains trust through explainable, compliant AI systems.
For the Enterprise
- Establishes AI governance guardrails.
- Improves platform leverage across Salesforce, ServiceNow, Finance, Legal, and IT systems.
- Reduces shadow AI and ungoverned experimentation.
Key Responsibilities
Enterprise Platform & Functional Architecture
- Own the architectural integrity of enterprise back-office domains including Legal, Finance, IT (ServiceNow), and supporting operational platforms.
- Define and maintain target-state architecture across enterprise systems to ensure scalability, durability, interoperability, and economic efficiency.
- Rationalize overlapping tooling and reduce platform redundancy across corporate systems.
- Establish reusable integration patterns between enterprise systems and core platforms (Salesforce, ServiceNow, ERP, data platforms).
- Ensure architectural consistency across regulated workflows (contract lifecycle, financial controls, internal IT operations, compliance-driven processes).
- Partner with Domain Architects to align value stream strategies with enterprise platform capabilities.
Operational Architecture & Governance
- Define architectural standards for system design, integration, data flow, workflow automation, and control mechanisms.
- Ensure enterprise platforms meet security, compliance, auditability, and financial control requirements.
- Document architecture decisions and maintain enterprise reference models.
- Participate in architecture review boards and enforce cross-domain standards.
- Reduce technical debt and prevent shadow systems within corporate domains.
AI Governance & Risk Management
- Define explainability, traceability, and audit standards for AI-enabled workflows.
- Ensure AI systems meet security, privacy, regulatory, and financial control requirements.
- Partner with Legal, Security, Risk, and Compliance teams to establish responsible AI guardrails.
- Establish architectural review criteria for AI initiatives before production deployment.
- Ensure AI-enabled processes preserve governance integrity across regulated back-office domains.
AI Enablement Within Enterprise Platforms
- Embed AI capabilities into enterprise systems where they improve measurable operational outcomes.
- Integrate AI solutions through governed data foundations and reusable enterprise patterns.
- Align AI initiatives to economic viability, risk posture, and enterprise platform standards.
- Prevent isolated, duplicative, or unmanaged AI deployments across domains.
AI-Driven Operational Impact
Enable AI Use Cases That Measurably Improve
- Sales productivity
- Case resolution efficiency
- Legal review cycle time
- Finance exception handling
- IT ticket resolution automation
- Quantify AI performance impact (cost savings, time reduction, quality improvement).
- Ensure AI improves decision quality and control effectiveness — not just automation speed.
Enterprise Value & Investment Alignment
- Align enterprise platform architecture to measurable business outcomes (cost efficiency, compliance integrity, workflow acceleration, scalability).
- Support investment decisions through architectural tradeoff analysis tied to risk, cost, and performance.
- Ensure enterprise systems are positioned for AI scale without increasing operational risk exposure.
Cross-Functional Leadership
- Serve as the enterprise AI architecture authority across corporate domains.
- Partner with Domain Architects to embed AI patterns into value streams.
- Raise AI maturity across architecture and delivery teams.
- Participate in enterprise architecture governance forums and influence enterprise-wide standards.
- Drive alignment between AI ambition and operational architecture discipline.
BASIC QUALIFICATIONS
What You’ll Need To Be Successful
- B.S. in Computer Science or Engineering
- 10+ years of relevant enterprise architecture experience aligned to large-scale systems.
- 5+ years working with enterprise platforms (Salesforce, ServiceNow, ERP, Finance systems).
- Demonstrated experience embedding AI into operational workflows.
- Experience defining AI governance or model lifecycle controls.
- Strong understanding of enterprise data architecture and integration patterns.
- Experience influencing senior stakeholders across multiple business domains.
Avalara is an AI-first Company
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
- You’ll bring experience using AI and AI-related technologies, ready to thrive here.
- You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
- You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
PREFERRED QUALIFICATIONS
How We’ll Take Care Of You
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara
We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.
Job Roles in Fintech in North Carolina
See all 146+ Fintech North Carolina jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Fintech North Carolina roles.
Get Access To All JobsFrequently Asked Questions
Which fintech companies sponsor H-1B visas in North Carolina?
Charlotte-based Bank of America and Truist Financial are among the most active H-1B sponsors in North Carolina's fintech sector, with LendingTree, AvidXchange, and Red Ventures also appearing in Department of Labor disclosure data. Payment technology and lending platforms have expanded their engineering teams in the Charlotte and Research Triangle areas, making both metros worth targeting for H-1B sponsorship.
Which cities in North Carolina have the most fintech H-1B sponsorship jobs?
Charlotte leads North Carolina for fintech H-1B sponsorship by a significant margin, driven by its concentration of major banks and financial technology firms. Raleigh and Durham form a secondary hub through the Research Triangle, where fintech startups and financial services companies have expanded engineering and data teams. Smaller fintech employers also operate in Greensboro and the broader Triad region.
What types of fintech roles typically qualify for H-1B sponsorship in North Carolina?
H-1B sponsorship in North Carolina's fintech sector is most common for roles requiring a bachelor's degree or higher in a specific technical or financial discipline. Software engineers, data scientists, quantitative analysts, cybersecurity specialists, and cloud infrastructure engineers are frequently sponsored. Roles in financial modeling, risk analytics, and payments platform development at Charlotte-area firms also appear regularly in DOL Labor Condition Application filings.
How do I find fintech H-1B sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship type, letting you search for fintech H-1B roles in North Carolina without manually screening hundreds of postings. Because fintech H-1B sponsorship is concentrated among a smaller set of employers in Charlotte and the Research Triangle, using a sponsorship-focused platform like Migrate Mate helps you identify which companies are actively hiring and have a documented history of filing H-1B petitions.
Are there any North Carolina-specific considerations for H-1B sponsorship in fintech?
North Carolina fintech employers, particularly in Charlotte, operate in a heavily regulated financial services environment, which means H-1B petitions for compliance, risk, and financial engineering roles may require detailed documentation of how the position qualifies as a specialty occupation. Some roles that sound technical may span generalist duties, which can complicate the specialty occupation determination. Consulting an immigration attorney before accepting an offer is advisable.
What is the prevailing wage for H-1B fintech jobs in North Carolina?
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.
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