Accounting H-1B Sponsorship Jobs in Kansas
H-1B visa sponsorship accounting jobs in Kansas are concentrated in Wichita, Overland Park, and Kansas City, where employers like KPMG, Deloitte, and regional firms such as BKD (now Forvis Mazur) file LCAs for roles in audit, tax, and financial reporting. Kansas's mix of manufacturing, agriculture, and financial services companies creates steady demand for credentialed international accounting professionals.
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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Securing Frontier AI, Agentic Systems & AI-Driven Cyber Defense
Job Family: Cybersecurity | Level: Senior Manager / Principal | Location: Hybrid / Remote-Eligible | Travel: Up to 30%
Role Overview
The AI Cybersecurity Architect & Engineer is a hybrid technical leadership role responsible for designing, building, and defending AI systems as first-class assets — while simultaneously leveraging AI to deliver next-generation cyber defense capabilities. This individual sits at the intersection of cybersecurity engineering, machine learning, and agentic AI, protecting models, data pipelines, prompts, agents, integrations, and the infrastructure that hosts them, while also using AI offensively (from a defensive standpoint) to match the speed and sophistication of Frontier AI-enabled attacks. This role is critical as organizations face a fundamental shift in the threat landscape: Frontier AI models can now autonomously discover and weaponize zero-day vulnerabilities in hours, AI-generated polymorphic malware evades signature-based detection, and autonomous AI worms spread laterally adapting tactics per-target. Defenders need an equally capable AI-augmented security posture — built and operated by professionals who understand both domains deeply.
Key Responsibilities
- AI Security Architecture & Design
- Design end-to-end secure architectures for AI/ML systems, including LLM applications, agentic AI workflows, RAG pipelines, vector databases, and model serving infrastructure.
- Establish threat models for AI systems using MITRE ATLAS, OWASP Top 10 for LLM Applications, OWASP Agentic Security Initiative (ASI) Top 10, and CSA MAESTRO 7-layer framework.
- Define secure-by-design patterns for AI agent permissions, tool invocation, memory/context isolation, and inter-agent communication (Model Context Protocol, Agent2Agent).
- Architect zero-trust controls for AI training pipelines, model registries, embedding stores, and prompt template repositories.
- Develop reference architectures for integrating GenAI capabilities into enterprise security platforms (CrowdStrike NGSIEM, Microsoft Sentinel, ServiceNow SIR / Now Assist, Splunk).
- AI-Driven Cyber Defense Engineering
- Build and operationalize AI-augmented detection, triage, and response capabilities — including LLM-assisted alert enrichment, autonomous incident summarization, and AI-driven threat hunting.
- Engineer agentic SOC workflows that integrate ServiceNow AI Agents, NVIDIA NIM, OpenAI / Anthropic models, and custom ML models with SIEM / SOAR / XDR platforms.
- Develop detections for AI-specific TTPs: prompt injection, jailbreak, model extraction, training data poisoning, agent hijacking, MCP server tampering, and rogue agent behavior.
- Build behavioral baselines and anomaly detection for AI agent activity, API call patterns, and inter-agent communications.
-
Design and deploy AI-specific deception (decoy MCP servers, poisoned data traps, decoy LLM-accessible resources).
-
Threat Defense Against Frontier AI Attacks
- Lead red-team and adversarial testing of AI systems — prompt injection, jailbreaks, model extraction, membership inference, training data extraction, and adversarial examples.
- Defend against AI-generated polymorphic malware, deepfake vishing / social engineering, AI-orchestrated multi-stage attacks, and autonomous AI worms.
- Build defenses against AI-driven vulnerability discovery — including reachability / exploitability validation, compensating controls frameworks, and AI-speed patching workflows.
- Develop containment playbooks for rogue AI agents, compromised LLM integrations, and AI-driven cascading failures.
-
Operate within the MLSecOps lifecycle: threat modeling, supply chain defense, model assurance, runtime defense, observability / IR, and governance.
-
Governance, Risk & Compliance for AI
- Implement AI governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act readiness) for enterprise AI deployments.
- Build AI risk assessment methodologies — data provenance, model lineage, prompt template management, third-party AI vendor risk.
- Establish AI usage policies, Shadow AI detection capabilities, and DLP controls for GenAI tool usage.
- Partner with privacy, legal, and compliance teams on AI-specific regulatory requirements.
-
Define and track AI security KPIs: prompt injection block rate, AI-generated phishing detection rate, agent permission drift, model integrity validation.
-
Client Advisory & Practice Leadership
- Lead Frontier AI readiness assessments for client organizations across SOC, incident response, vulnerability management, identity, and data protection.
- Develop client-facing deliverables: solution architectures, executive summaries, technical roadmaps, and one-pagers.
- Contribute to thought leadership: whitepapers, client workshops, industry conference presentations.
- Mentor junior engineers and consultants on AI security topics; build internal AI security competency.
- Partner with alliance teams (ServiceNow, CrowdStrike, Microsoft, NVIDIA, OpenAI / Anthropic) on joint solutions and go-to-market motions.
Experience
REQUIRED QUALIFICATIONS
- 8+ years of progressive experience in cybersecurity engineering or architecture.
- 3+ years of hands-on experience with AI / ML systems — either building, securing, or red-teaming.
- Demonstrated experience designing secure architectures for production AI workloads (LLM applications, agentic systems, ML pipelines).
- Proven track record leading complex security projects in regulated industries (financial services, healthcare, energy, government).
Technical Skills — Cybersecurity Core
- Deep expertise in security architecture: zero trust, defense in depth, least privilege, secure SDLC.
- Strong working knowledge of SIEM / SOAR / XDR platforms (CrowdStrike Falcon / NGSIEM, Microsoft Sentinel, Splunk, ServiceNow SecOps).
- Hands-on experience with cloud security (AWS, Azure, GCP) — IAM, network controls, container / Kubernetes security, secrets management.
- Familiarity with detection engineering (Detection-as-Code, Sigma, KQL, EQL, YARA).
- Incident response and forensics fundamentals; comfort with MITRE ATT&CK and MITRE ATLAS frameworks.
Technical Skills — AI / ML
- Working knowledge of neural network architectures (transformers, CNNs, RNNs), training / optimization, inference / deployment.
- Hands-on experience with LLM application development (prompt engineering, RAG, fine-tuning, function calling).
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen) and agentic patterns.
- Understanding of vector databases (Pinecone, Chroma, Weaviate), embedding models, and inference infrastructure.
- Familiarity with model serving platforms (NVIDIA NIM, Triton, TorchServe, vLLM).
- Proficiency in Python; familiarity with PyTorch and/or TensorFlow.
Technical Skills — AI Security Specific
- Strong understanding of OWASP Top 10 for LLM Applications and OWASP Agentic Security Initiative threats.
- Hands-on experience with MITRE ATLAS adversarial techniques.
- Knowledge of prompt injection (direct, indirect, triggered), jailbreaks, model extraction, training data poisoning, and adversarial examples.
- Experience with AI red-teaming tools (e.g., Garak, PyRIT, promptfoo) and LLM security testing methodologies.
- Understanding of differential privacy, federated learning, and secure multi-party computation (preferred).
Preferred Qualifications
- Master's degree in Computer Science, Cybersecurity, AI / ML, or a related field.
- Experience implementing or auditing AI governance (NIST AI RMF, ISO/IEC 42001, EU AI Act).
- Contributions to OWASP GenAI Security Project, MITRE ATLAS, MLSecOps Community, or similar.
- Published research, conference talks (RSA, Black Hat, DEF CON AI Village, BSides), or thought leadership in AI security.
- Experience with consulting / client advisory engagements.
- Familiarity with EY's Cyber Practice methodologies, ServiceNow alliance solutions, and CrowdStrike / Microsoft Security alliance offerings.
Certifications (one Or More Preferred)
- CISSP, CISSP-ISSAP, or CCSP.
- AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), or Google Professional Cloud Security Engineer.
- AI / ML-specific: Certified AI Security Professional (CAISP), AI Cybersecurity Specialist certification.
- MLOps / MLSecOps certifications.
- Vendor: CrowdStrike Certified Falcon Administrator / Responder, Microsoft Security Operations Analyst (SC-200), ServiceNow Certified Implementation Specialist – Security Operations.
Soft Skills & Attributes
- Translates complex AI security concepts into business-impact language for CISOs and boards.
- Comfortable working in ambiguity at the leading edge of an emerging discipline.
- Strong written communication for client deliverables (slide decks, executive summaries, architecture diagrams).
- Collaborative orientation across security, data science, ML engineering, and business stakeholder teams.
- Continuous learner — actively tracks emerging Frontier AI threats and defensive research.
What Success Looks Like (first 12 Months)
- Designed and delivered 2–3 production-grade AI security architectures for enterprise clients.
- Established baseline AI security controls (prompt injection defense, agent permission framework, AI inventory) for internal practice or major client.
- Built or extended a Frontier AI readiness assessment methodology used across the practice.
- Published or presented at least one piece of external thought leadership on AI cybersecurity.
- Mentored 3–5 junior team members on AI security capabilities.
Compensation & Career Path
- Salary range (US, role-dependent): $185K – $285K base + bonus + equity / profit share (varies by level and geography).
- Career trajectory: Senior Manager → Director / Principal → Partner / Distinguished Engineer / CISO advisory role.
- Continuous education budget for AI / ML conferences, certifications, and applied research.
EQUAL OPPORTUNITY STATEMENT
We are an equal opportunity employer committed to building a diverse, inclusive, and equitable workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.
What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $82,500 to $136,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $99,100 to $154,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Securing Frontier AI, Agentic Systems & AI-Driven Cyber Defense
Job Family: Cybersecurity | Level: Senior Manager / Principal | Location: Hybrid / Remote-Eligible | Travel: Up to 30%
Role Overview
The AI Cybersecurity Architect & Engineer is a hybrid technical leadership role responsible for designing, building, and defending AI systems as first-class assets — while simultaneously leveraging AI to deliver next-generation cyber defense capabilities. This individual sits at the intersection of cybersecurity engineering, machine learning, and agentic AI, protecting models, data pipelines, prompts, agents, integrations, and the infrastructure that hosts them, while also using AI offensively (from a defensive standpoint) to match the speed and sophistication of Frontier AI-enabled attacks. This role is critical as organizations face a fundamental shift in the threat landscape: Frontier AI models can now autonomously discover and weaponize zero-day vulnerabilities in hours, AI-generated polymorphic malware evades signature-based detection, and autonomous AI worms spread laterally adapting tactics per-target. Defenders need an equally capable AI-augmented security posture — built and operated by professionals who understand both domains deeply.
Key Responsibilities
- AI Security Architecture & Design
- Design end-to-end secure architectures for AI/ML systems, including LLM applications, agentic AI workflows, RAG pipelines, vector databases, and model serving infrastructure.
- Establish threat models for AI systems using MITRE ATLAS, OWASP Top 10 for LLM Applications, OWASP Agentic Security Initiative (ASI) Top 10, and CSA MAESTRO 7-layer framework.
- Define secure-by-design patterns for AI agent permissions, tool invocation, memory/context isolation, and inter-agent communication (Model Context Protocol, Agent2Agent).
- Architect zero-trust controls for AI training pipelines, model registries, embedding stores, and prompt template repositories.
- Develop reference architectures for integrating GenAI capabilities into enterprise security platforms (CrowdStrike NGSIEM, Microsoft Sentinel, ServiceNow SIR / Now Assist, Splunk).
- AI-Driven Cyber Defense Engineering
- Build and operationalize AI-augmented detection, triage, and response capabilities — including LLM-assisted alert enrichment, autonomous incident summarization, and AI-driven threat hunting.
- Engineer agentic SOC workflows that integrate ServiceNow AI Agents, NVIDIA NIM, OpenAI / Anthropic models, and custom ML models with SIEM / SOAR / XDR platforms.
- Develop detections for AI-specific TTPs: prompt injection, jailbreak, model extraction, training data poisoning, agent hijacking, MCP server tampering, and rogue agent behavior.
- Build behavioral baselines and anomaly detection for AI agent activity, API call patterns, and inter-agent communications.
-
Design and deploy AI-specific deception (decoy MCP servers, poisoned data traps, decoy LLM-accessible resources).
-
Threat Defense Against Frontier AI Attacks
- Lead red-team and adversarial testing of AI systems — prompt injection, jailbreaks, model extraction, membership inference, training data extraction, and adversarial examples.
- Defend against AI-generated polymorphic malware, deepfake vishing / social engineering, AI-orchestrated multi-stage attacks, and autonomous AI worms.
- Build defenses against AI-driven vulnerability discovery — including reachability / exploitability validation, compensating controls frameworks, and AI-speed patching workflows.
- Develop containment playbooks for rogue AI agents, compromised LLM integrations, and AI-driven cascading failures.
-
Operate within the MLSecOps lifecycle: threat modeling, supply chain defense, model assurance, runtime defense, observability / IR, and governance.
-
Governance, Risk & Compliance for AI
- Implement AI governance frameworks (NIST AI RMF, ISO/IEC 42001, EU AI Act readiness) for enterprise AI deployments.
- Build AI risk assessment methodologies — data provenance, model lineage, prompt template management, third-party AI vendor risk.
- Establish AI usage policies, Shadow AI detection capabilities, and DLP controls for GenAI tool usage.
- Partner with privacy, legal, and compliance teams on AI-specific regulatory requirements.
-
Define and track AI security KPIs: prompt injection block rate, AI-generated phishing detection rate, agent permission drift, model integrity validation.
-
Client Advisory & Practice Leadership
- Lead Frontier AI readiness assessments for client organizations across SOC, incident response, vulnerability management, identity, and data protection.
- Develop client-facing deliverables: solution architectures, executive summaries, technical roadmaps, and one-pagers.
- Contribute to thought leadership: whitepapers, client workshops, industry conference presentations.
- Mentor junior engineers and consultants on AI security topics; build internal AI security competency.
- Partner with alliance teams (ServiceNow, CrowdStrike, Microsoft, NVIDIA, OpenAI / Anthropic) on joint solutions and go-to-market motions.
Experience
REQUIRED QUALIFICATIONS
- 8+ years of progressive experience in cybersecurity engineering or architecture.
- 3+ years of hands-on experience with AI / ML systems — either building, securing, or red-teaming.
- Demonstrated experience designing secure architectures for production AI workloads (LLM applications, agentic systems, ML pipelines).
- Proven track record leading complex security projects in regulated industries (financial services, healthcare, energy, government).
Technical Skills — Cybersecurity Core
- Deep expertise in security architecture: zero trust, defense in depth, least privilege, secure SDLC.
- Strong working knowledge of SIEM / SOAR / XDR platforms (CrowdStrike Falcon / NGSIEM, Microsoft Sentinel, Splunk, ServiceNow SecOps).
- Hands-on experience with cloud security (AWS, Azure, GCP) — IAM, network controls, container / Kubernetes security, secrets management.
- Familiarity with detection engineering (Detection-as-Code, Sigma, KQL, EQL, YARA).
- Incident response and forensics fundamentals; comfort with MITRE ATT&CK and MITRE ATLAS frameworks.
Technical Skills — AI / ML
- Working knowledge of neural network architectures (transformers, CNNs, RNNs), training / optimization, inference / deployment.
- Hands-on experience with LLM application development (prompt engineering, RAG, fine-tuning, function calling).
- Experience with AI orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen) and agentic patterns.
- Understanding of vector databases (Pinecone, Chroma, Weaviate), embedding models, and inference infrastructure.
- Familiarity with model serving platforms (NVIDIA NIM, Triton, TorchServe, vLLM).
- Proficiency in Python; familiarity with PyTorch and/or TensorFlow.
Technical Skills — AI Security Specific
- Strong understanding of OWASP Top 10 for LLM Applications and OWASP Agentic Security Initiative threats.
- Hands-on experience with MITRE ATLAS adversarial techniques.
- Knowledge of prompt injection (direct, indirect, triggered), jailbreaks, model extraction, training data poisoning, and adversarial examples.
- Experience with AI red-teaming tools (e.g., Garak, PyRIT, promptfoo) and LLM security testing methodologies.
- Understanding of differential privacy, federated learning, and secure multi-party computation (preferred).
Preferred Qualifications
- Master's degree in Computer Science, Cybersecurity, AI / ML, or a related field.
- Experience implementing or auditing AI governance (NIST AI RMF, ISO/IEC 42001, EU AI Act).
- Contributions to OWASP GenAI Security Project, MITRE ATLAS, MLSecOps Community, or similar.
- Published research, conference talks (RSA, Black Hat, DEF CON AI Village, BSides), or thought leadership in AI security.
- Experience with consulting / client advisory engagements.
- Familiarity with EY's Cyber Practice methodologies, ServiceNow alliance solutions, and CrowdStrike / Microsoft Security alliance offerings.
Certifications (one Or More Preferred)
- CISSP, CISSP-ISSAP, or CCSP.
- AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), or Google Professional Cloud Security Engineer.
- AI / ML-specific: Certified AI Security Professional (CAISP), AI Cybersecurity Specialist certification.
- MLOps / MLSecOps certifications.
- Vendor: CrowdStrike Certified Falcon Administrator / Responder, Microsoft Security Operations Analyst (SC-200), ServiceNow Certified Implementation Specialist – Security Operations.
Soft Skills & Attributes
- Translates complex AI security concepts into business-impact language for CISOs and boards.
- Comfortable working in ambiguity at the leading edge of an emerging discipline.
- Strong written communication for client deliverables (slide decks, executive summaries, architecture diagrams).
- Collaborative orientation across security, data science, ML engineering, and business stakeholder teams.
- Continuous learner — actively tracks emerging Frontier AI threats and defensive research.
What Success Looks Like (first 12 Months)
- Designed and delivered 2–3 production-grade AI security architectures for enterprise clients.
- Established baseline AI security controls (prompt injection defense, agent permission framework, AI inventory) for internal practice or major client.
- Built or extended a Frontier AI readiness assessment methodology used across the practice.
- Published or presented at least one piece of external thought leadership on AI cybersecurity.
- Mentored 3–5 junior team members on AI security capabilities.
Compensation & Career Path
- Salary range (US, role-dependent): $185K – $285K base + bonus + equity / profit share (varies by level and geography).
- Career trajectory: Senior Manager → Director / Principal → Partner / Distinguished Engineer / CISO advisory role.
- Continuous education budget for AI / ML conferences, certifications, and applied research.
EQUAL OPPORTUNITY STATEMENT
We are an equal opportunity employer committed to building a diverse, inclusive, and equitable workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.
What We Offer You
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $82,500 to $136,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $99,100 to $154,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
H-1B Accounting Job Roles in Kansas
See all Accounting H-1B Jobs in Kansas
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Search Accounting Jobs in KansasAccounting H-1B Sponsorship Jobs in Kansas: Frequently Asked Questions
Which accounting companies sponsor H-1B visas in Kansas?
The most active H-1B visa sponsors for accounting roles in Kansas include the Big Four firms, Deloitte, KPMG, PwC, and EY, operating through their Kansas City and Overland Park offices, alongside regional leaders like Forvis Mazur and CliftonLarsonAllen. Large corporate employers in manufacturing and aviation, including Koch Industries and INVISTA, also sponsor H-1B accountants for in-house finance and tax roles. Sponsorship volume and consistency vary by employer, so reviewing DOL Labor Condition Application filings is the most reliable way to verify current activity.
Which cities in Kansas have the most accounting H-1B sponsorship jobs?
Overland Park and the broader Kansas City metro area account for the majority of accounting H-1B sponsorship activity in Kansas, driven by regional headquarters, national firm offices, and a dense concentration of financial services employers. Wichita is the second-largest market, supported by aerospace and manufacturing companies that maintain sizeable accounting departments. Topeka, as the state capital, has some activity tied to government contractors and healthcare organizations, though volume is considerably lower than the Kansas City metro.
What types of accounting roles typically qualify for H-1B sponsorship?
H-1B sponsorship in accounting is typically reserved for specialty occupation roles requiring at least a bachelor's degree in accounting, finance, or a closely related field. Positions commonly sponsored include external audit associate and senior, corporate tax analyst, financial reporting analyst, management accountant, and forensic accountant. General bookkeeping or data-entry roles do not meet the specialty occupation standard. Roles requiring a CPA license or advanced credentials like a master's degree in accounting are generally well-positioned for H-1B eligibility, though each petition is evaluated individually by USCIS.
How do I find accounting H-1B sponsorship jobs in Kansas?
Migrate Mate is built specifically for this search, you can filter by visa type, state, and industry to surface accounting roles with verified H-1B sponsorship history in Kansas. Because Migrate Mate pulls from DOL Labor Condition Application data, you can see which Kansas employers have actually filed LCAs for accounting positions, rather than relying on job postings that may not reflect real sponsorship willingness. Focusing on employers with consistent LCA filing history in audit, tax, or financial reporting gives you the strongest starting point for your Kansas job search.
Are there any Kansas-specific considerations for H-1B accounting sponsorship?
Kansas does not impose state-level restrictions on H-1B employment beyond federal requirements, but a few practical factors apply. CPA licensure in Kansas is regulated by the Kansas Board of Accountancy, and some senior or client-facing roles may require a Kansas CPA license or active progress toward one, this is an employer-by-employer requirement, not a visa condition. Kansas's cost of living relative to coastal markets means prevailing wage benchmarks, as published through the OFLC Wage Search, tend to reflect regional pay scales that differ from national averages. Employers in agriculture-adjacent accounting, particularly in western Kansas agribusiness firms, have less frequent H-1B sponsorship history than Wichita or Overland Park employers.
What is the prevailing wage for H-1B accounting jobs in Kansas?
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.