Software Consultant Visa Sponsorship Jobs in Nebraska
Nebraska's software consultant market is anchored by Omaha's growing tech sector, with employers like First Data, PayPal, and Union Pacific regularly seeking specialized consulting talent. Lincoln's university ecosystem and Omaha's financial services industry create steady demand for software consultants who need H-1B or other work visa sponsorship to take on these roles.
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Get Access To All JobsGenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
GenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,658 to $179,431.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Software Consultant Job Roles in Nebraska
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Search Software Consultant Jobs in NebraskaSoftware Consultant Jobs in Nebraska: Frequently Asked Questions
Which companies in Nebraska sponsor visas for software consultants?
Omaha-based employers in financial services and logistics have a track record of sponsoring work visas for software consultants. Companies like PayPal, First Data (Fiserv), Union Pacific, and Mutual of Omaha have filed H-1B Labor Condition Applications for consulting and technology roles. Larger enterprises with established HR and legal infrastructure are generally better positioned to manage the sponsorship process than smaller firms.
Which visa types are most common for software consultant roles in Nebraska?
The H-1B is the most common visa for software consultants in Nebraska, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like computer science or information systems. L-1B visas apply when a consultant is transferring within a multinational company. O-1 visas are an option for consultants with documented extraordinary ability, though the evidentiary bar is high.
Which cities in Nebraska have the most software consultant sponsorship jobs?
Omaha accounts for the large majority of software consultant sponsorship activity in Nebraska, driven by its concentration of financial services firms, technology companies, and corporate headquarters. Lincoln sees smaller but consistent demand, partly connected to University of Nebraska research partnerships and state government IT projects. Outside these two cities, sponsorship opportunities for software consultants in Nebraska are limited.
How to find software consultant visa sponsorship jobs in Nebraska?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find software consultant roles in Nebraska without sorting through positions that don't support international candidates. You can search by role and state to surface employers actively hiring consultants who need H-1B or other work visa sponsorship. Focusing on Omaha-based financial services and logistics companies tends to yield the most relevant results for this role.
Are there any state-specific considerations for software consultants seeking sponsorship in Nebraska?
Nebraska does not have a state income tax exemption or special immigration program that affects sponsorship, but the lower cost of living compared to coastal tech hubs means prevailing wage requirements under the H-1B program may be more attainable for employers here. The University of Nebraska system also produces a pipeline of OPT-eligible graduates in computer science, so some Omaha employers already have experience hiring and sponsoring international technology talent.
What is the prevailing wage for sponsored software consultant jobs in Nebraska?
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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