Senior AI Software Engineer Visa Sponsorship Jobs in Colorado
Senior AI software engineer roles in Colorado are concentrated in Denver, Boulder, and the Denver Tech Center, with employers like Google, Amazon, Palantir, and a growing cluster of AI-focused startups actively hiring. Colorado's strong university pipeline from CU Boulder and Colorado State feeds demand, and many of these roles come with visa sponsorship for qualified international candidates.
Find Senior AI Software Engineer JobsOverview
Showing 5 of 207+ Senior AI Software Engineer Jobs in Colorado with Visa Sponsorship
See all 207+ Senior AI Software Engineer Jobs in Colorado with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Software Engineer Jobs in Colorado with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
As CohnReznick grows, so do our career opportunities. As one of the nation’s top professional services firms, CohnReznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do!
CohnReznick helps organizations optimize performance, manage risk, and maximize value through CohnReznick LLP (assurance services) and CohnReznick Advisory LLC (advisory and tax services). Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients’ unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia.
We currently have an exciting career opportunity for a Director/Managing Director, AI Software Development to support our Global Digital & CyberSecurity practice.
CohnReznick is a hybrid firm and most of our professionals are located within a commutable distance to one of our offices. This position is considered remote which means it does not require job duties be performed within proximity of a CohnReznick office location. However, as a remote employee, you may be required to be present at a CohnReznick office with scheduled notice for client work, team meetings, or trainings.
YOUR TEAM.
The Director / Managing Director, AI Software Development is a senior technology leader responsible for establishing and leading CohnReznick's software engineering capability. This position defines the vision, strategy, operating model, talent plan, architecture, and delivery approach for AI-enabled products, platforms, and solutions across the firm.
The position is accountable for building a high-performing AI-native software development organization capable of delivering proprietary technology assets that create sustainable competitive advantage. The leader oversees the design, development, deployment, and operation of AI-powered applications, intelligent automation solutions, agentic workflows, and client-facing digital products.
This is not a traditional application-development leadership role. The successful candidate must have personally built and scaled a native AI software team from inception through production delivery, including recruiting specialized talent, establishing engineering and governance standards, and delivering secure applications with measurable business impact.
WHY COHNREZNICK?
At CohnReznick, we’re united by a common mission to create opportunity, value, and trust for our clients, our people, and our communities. Whether it’s working alongside your peers to solve a client challenge, or volunteering together at the local food bank, there are so many ways to find your “why” at the firm.
We believe it’s important to balance work with everyday life – and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.
YOUR ROLE.
Responsibilities include but not limited to:
AI strategy and portfolio leadership
- Define and execute a multi-year AI software engineering strategy aligned with firm business and technology objectives.
- Establish the vision, roadmap, investment priorities, and operating model for the GDC AI development capability.
- Identify opportunities to create proprietary software assets that improve client service, quality, efficiency, growth, and professional experience.
- Advise executive leaders and governance forums on opportunities, investments, risks, dependencies, and portfolio performance.
Native AI organization building
- Recruit, organize, develop, and retain a multidisciplinary team of AI engineers, software engineers, machine learning engineers, technical leads, and architects.
- Define job architecture, role expectations, career paths, leadership spans, technical communities, and talent-development practices for the AI engineering function.
- Create an engineering culture centered on innovation, responsible experimentation, accountability, inclusion, collaboration, and disciplined production delivery.
- Build a sustainable talent pipeline and develop future engineering leaders.
Product and solution delivery
- Lead AI-enabled products, platforms, and solutions from discovery and architecture through engineering, release, adoption, operation, and continuous improvement.
- Partner with Product Management and business stakeholders to translate strategic priorities into sequenced, funded, and measurable delivery commitments.
- Manage execution across concurrent initiatives while balancing value, speed, quality, security, risk, reliability, and maintainability.
- Establish outcome, delivery, quality, adoption, and operational measures; use results to improve priorities and execution.
Architecture, engineering, and operations
- Establish development standards, reference architectures, engineering frameworks, reusable components, testing practices, and technical quality controls.
- Define patterns for large language model integration, agentic systems, retrieval-augmented generation, intelligent workflow automation, observability, evaluation, and model operations.
- Implement modern cloud-native engineering, DevSecOps, CI/CD, API, integration, reliability, incident-management, and lifecycle-management practices.
- Promote reuse, platform leverage, technical-debt management, and reduction of unnecessary technology redundancy.
Governance, risk, and stakeholder leadership
- Embed security, privacy, legal, regulatory, records-management, data-governance, and responsible AI requirements throughout the development lifecycle.
- Partner with Enterprise Architecture, Information Security, Data & Analytics, Risk, Legal, and other control functions to govern design and deployment decisions.
- Communicate complex technical matters in clear business terms and build trusted relationships with executives, professionals, clients, vendors, and strategic partners.
- Drive adoption, change leadership, knowledge transfer, and transparent reporting of progress, risks, decisions, and realized value.
The duties listed are intended to describe the general nature and level of work performed. They are not an exhaustive list of every responsibility, duty, or skill required. Responsibilities may change based on business needs.
YOUR EXPERIENCE.
The successful candidate will have:
Education and experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant experience.
- Fifteen or more years of progressive software engineering and technology leadership experience.
- Seven or more years leading software development organizations, including leaders of engineering teams.
- Five or more years delivering AI-enabled applications, machine learning platforms, intelligent automation solutions, or generative AI products.
- Demonstrated success creating and scaling a native AI software development organization that moved beyond pilots and experimentation to secure, production-grade solutions.
- Proven delivery of enterprise-grade software products and platforms in complex, regulated, or high-trust environments.
- Experience leading geographically distributed teams and a blended workforce of employees, contractors, and strategic partners.
Technical and delivery expertise
- Generative AI, large language models, agentic architectures, retrieval-augmented generation, AI evaluation, observability, and model operations.
- Cloud-native software development, enterprise application architecture, APIs, integration patterns, data platforms, and analytics ecosystems.
- DevSecOps, CI/CD, automated testing, software supply-chain controls, production reliability, and secure development lifecycle practices.
- Responsible AI, AI governance, privacy, security, model risk, data governance, and human oversight.
- Product-oriented delivery using measurable outcomes, iterative development, user feedback, adoption measures, and value realization.
PREFERRED QUALIFICATIONS
- Advanced degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Business, or a related field.
- Leadership experience in professional services, financial services, regulated industries, or enterprise B2B software.
- Experience with Microsoft Azure AI, Azure OpenAI, Microsoft Copilot technologies, and modern AI engineering frameworks.
- Relevant credentials in AI, cloud architecture, software engineering, cybersecurity, or product delivery.
- Experience commercializing proprietary software or creating client-facing digital products and technology-enabled services.
In addition, please take a moment to review our Universal Job Standards.
Studies have shown that we are less likely to apply to jobs unless we meet every single qualification. At CohnReznick, we are dedicated to building a diverse, equitable, and inclusive workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or one of our other roles.
LOCATION
Location(s): Denver
COMPENSATION
In Colorado, the salary range for a Director, AI Software Development is $192,000 to $264,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. Salary is one component of the CohnReznick total rewards package, which includes a discretionary performance bonus, generous paid time off, expanded and inclusive parental benefits, and access to best-in-class learning and development platforms, to name a few.
"CohnReznick" is the brand name under which CohnReznick LLP and CohnReznick Advisory LLC and their respective subsidiaries provide professional services. CohnReznick LLP and CohnReznick Advisory LLC (and their respective subsidiaries) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. CohnReznick LLP is a licensed CPA firm that provides attest services to its clients. CohnReznick Advisory LLC provides tax and business consulting services to its clients. CohnReznick Advisory LLC and its subsidiaries are not licensed CPA firms.
CohnReznick is an equal opportunity employer, committed to a diverse and inclusive team to drive business results and create a better future every day for our team members, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information, please see Equal Employment Opportunity Posters.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at CRaccommodation@CohnReznick.com. Please note: This email address is reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.
CohnReznick does not accept unsolicited resumes from third-party recruiters unless such recruiters are currently engaged by CohnReznick Talent Acquisition Team by way of a written agreement to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that CohnReznick will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
GD #LI-WC1
IND123 (PMT)
INTRODUCTION
As CohnReznick grows, so do our career opportunities. As one of the nation’s top professional services firms, CohnReznick creates rewarding careers in advisory, assurance, and tax with team members who value innovation and collaboration in everything they do!
CohnReznick helps organizations optimize performance, manage risk, and maximize value through CohnReznick LLP (assurance services) and CohnReznick Advisory LLC (advisory and tax services). Together, the firm provides leaders with deep industry knowledge and relationships, solutions to address clients’ unique business goals and risks, and insight on how emerging market forces can drive opportunity. With offices nationwide, the firm serves organizations around the world as an independent member of Nexia.
We currently have an exciting career opportunity for a Director/Managing Director, AI Software Development to support our Global Digital & CyberSecurity practice.
CohnReznick is a hybrid firm and most of our professionals are located within a commutable distance to one of our offices. This position is considered remote which means it does not require job duties be performed within proximity of a CohnReznick office location. However, as a remote employee, you may be required to be present at a CohnReznick office with scheduled notice for client work, team meetings, or trainings.
YOUR TEAM.
The Director / Managing Director, AI Software Development is a senior technology leader responsible for establishing and leading CohnReznick's software engineering capability. This position defines the vision, strategy, operating model, talent plan, architecture, and delivery approach for AI-enabled products, platforms, and solutions across the firm.
The position is accountable for building a high-performing AI-native software development organization capable of delivering proprietary technology assets that create sustainable competitive advantage. The leader oversees the design, development, deployment, and operation of AI-powered applications, intelligent automation solutions, agentic workflows, and client-facing digital products.
This is not a traditional application-development leadership role. The successful candidate must have personally built and scaled a native AI software team from inception through production delivery, including recruiting specialized talent, establishing engineering and governance standards, and delivering secure applications with measurable business impact.
WHY COHNREZNICK?
At CohnReznick, we’re united by a common mission to create opportunity, value, and trust for our clients, our people, and our communities. Whether it’s working alongside your peers to solve a client challenge, or volunteering together at the local food bank, there are so many ways to find your “why” at the firm.
We believe it’s important to balance work with everyday life – and make time for enjoyment and fun. We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.
YOUR ROLE.
Responsibilities include but not limited to:
AI strategy and portfolio leadership
- Define and execute a multi-year AI software engineering strategy aligned with firm business and technology objectives.
- Establish the vision, roadmap, investment priorities, and operating model for the GDC AI development capability.
- Identify opportunities to create proprietary software assets that improve client service, quality, efficiency, growth, and professional experience.
- Advise executive leaders and governance forums on opportunities, investments, risks, dependencies, and portfolio performance.
Native AI organization building
- Recruit, organize, develop, and retain a multidisciplinary team of AI engineers, software engineers, machine learning engineers, technical leads, and architects.
- Define job architecture, role expectations, career paths, leadership spans, technical communities, and talent-development practices for the AI engineering function.
- Create an engineering culture centered on innovation, responsible experimentation, accountability, inclusion, collaboration, and disciplined production delivery.
- Build a sustainable talent pipeline and develop future engineering leaders.
Product and solution delivery
- Lead AI-enabled products, platforms, and solutions from discovery and architecture through engineering, release, adoption, operation, and continuous improvement.
- Partner with Product Management and business stakeholders to translate strategic priorities into sequenced, funded, and measurable delivery commitments.
- Manage execution across concurrent initiatives while balancing value, speed, quality, security, risk, reliability, and maintainability.
- Establish outcome, delivery, quality, adoption, and operational measures; use results to improve priorities and execution.
Architecture, engineering, and operations
- Establish development standards, reference architectures, engineering frameworks, reusable components, testing practices, and technical quality controls.
- Define patterns for large language model integration, agentic systems, retrieval-augmented generation, intelligent workflow automation, observability, evaluation, and model operations.
- Implement modern cloud-native engineering, DevSecOps, CI/CD, API, integration, reliability, incident-management, and lifecycle-management practices.
- Promote reuse, platform leverage, technical-debt management, and reduction of unnecessary technology redundancy.
Governance, risk, and stakeholder leadership
- Embed security, privacy, legal, regulatory, records-management, data-governance, and responsible AI requirements throughout the development lifecycle.
- Partner with Enterprise Architecture, Information Security, Data & Analytics, Risk, Legal, and other control functions to govern design and deployment decisions.
- Communicate complex technical matters in clear business terms and build trusted relationships with executives, professionals, clients, vendors, and strategic partners.
- Drive adoption, change leadership, knowledge transfer, and transparent reporting of progress, risks, decisions, and realized value.
The duties listed are intended to describe the general nature and level of work performed. They are not an exhaustive list of every responsibility, duty, or skill required. Responsibilities may change based on business needs.
YOUR EXPERIENCE.
The successful candidate will have:
Education and experience
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent relevant experience.
- Fifteen or more years of progressive software engineering and technology leadership experience.
- Seven or more years leading software development organizations, including leaders of engineering teams.
- Five or more years delivering AI-enabled applications, machine learning platforms, intelligent automation solutions, or generative AI products.
- Demonstrated success creating and scaling a native AI software development organization that moved beyond pilots and experimentation to secure, production-grade solutions.
- Proven delivery of enterprise-grade software products and platforms in complex, regulated, or high-trust environments.
- Experience leading geographically distributed teams and a blended workforce of employees, contractors, and strategic partners.
Technical and delivery expertise
- Generative AI, large language models, agentic architectures, retrieval-augmented generation, AI evaluation, observability, and model operations.
- Cloud-native software development, enterprise application architecture, APIs, integration patterns, data platforms, and analytics ecosystems.
- DevSecOps, CI/CD, automated testing, software supply-chain controls, production reliability, and secure development lifecycle practices.
- Responsible AI, AI governance, privacy, security, model risk, data governance, and human oversight.
- Product-oriented delivery using measurable outcomes, iterative development, user feedback, adoption measures, and value realization.
PREFERRED QUALIFICATIONS
- Advanced degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Business, or a related field.
- Leadership experience in professional services, financial services, regulated industries, or enterprise B2B software.
- Experience with Microsoft Azure AI, Azure OpenAI, Microsoft Copilot technologies, and modern AI engineering frameworks.
- Relevant credentials in AI, cloud architecture, software engineering, cybersecurity, or product delivery.
- Experience commercializing proprietary software or creating client-facing digital products and technology-enabled services.
In addition, please take a moment to review our Universal Job Standards.
Studies have shown that we are less likely to apply to jobs unless we meet every single qualification. At CohnReznick, we are dedicated to building a diverse, equitable, and inclusive workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or one of our other roles.
LOCATION
Location(s): Denver
COMPENSATION
In Colorado, the salary range for a Director, AI Software Development is $192,000 to $264,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. Salary is one component of the CohnReznick total rewards package, which includes a discretionary performance bonus, generous paid time off, expanded and inclusive parental benefits, and access to best-in-class learning and development platforms, to name a few.
"CohnReznick" is the brand name under which CohnReznick LLP and CohnReznick Advisory LLC and their respective subsidiaries provide professional services. CohnReznick LLP and CohnReznick Advisory LLC (and their respective subsidiaries) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. CohnReznick LLP is a licensed CPA firm that provides attest services to its clients. CohnReznick Advisory LLC provides tax and business consulting services to its clients. CohnReznick Advisory LLC and its subsidiaries are not licensed CPA firms.
CohnReznick is an equal opportunity employer, committed to a diverse and inclusive team to drive business results and create a better future every day for our team members, clients, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. For more information, please see Equal Employment Opportunity Posters.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at CRaccommodation@CohnReznick.com. Please note: This email address is reserved for individuals with disabilities in need of assistance and are not a means of inquiry about positions or application statuses.
CohnReznick does not accept unsolicited resumes from third-party recruiters unless such recruiters are currently engaged by CohnReznick Talent Acquisition Team by way of a written agreement to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that CohnReznick will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
GD #LI-WC1
IND123 (PMT)
Senior AI Software Engineer Job Roles in Colorado
See all 207+ Senior AI Software Engineer Jobs in Colorado
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Senior AI Software Engineer Jobs in ColoradoSenior AI Software Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for senior AI software engineers in Colorado?
Several established tech employers in Colorado have consistent H-1B visa sponsorship histories for senior AI software engineer roles, including Google's Boulder office, Amazon Web Services, Palantir Technologies (headquartered in Denver), and Lockheed Martin. Beyond these, a number of AI-focused startups and scale-ups in the Denver and Boulder corridor have also filed LCAs for senior AI and machine learning engineering positions in recent years.
Which visa types are most common for senior AI software engineer roles in Colorado?
The H-1B is the most common visa for senior AI software engineers in Colorado, as the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, artificial intelligence, or a related field. Candidates with extraordinary ability may also explore the O-1A. Australian citizens specifically may be eligible for the E-3 visa, which has no lottery and is often faster to obtain.
Which cities in Colorado have the most senior AI software engineer sponsorship jobs?
Denver and Boulder account for the majority of senior AI software engineer sponsorship opportunities in Colorado. The Denver Tech Center (DTC) suburb hosts regional headquarters for large tech and defense contractors, while Boulder has a dense concentration of AI research labs, startups, and university-affiliated companies. Colorado Springs has a smaller but growing presence, particularly in defense and aerospace AI applications.
How to find senior ai software engineer visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse senior AI software engineer roles in Colorado without sorting through positions that don't sponsor. You can filter by state and role to surface relevant openings from employers in Denver, Boulder, and surrounding areas. This saves significant time compared to manually checking sponsorship status across individual company career pages.
Are there any Colorado-specific considerations for senior AI software engineer sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to include pay ranges in job postings, which gives international candidates useful context when evaluating whether an offer meets H-1B prevailing wage requirements set by the Department of Labor. Colorado also has a strong university pipeline from CU Boulder's AI and machine learning programs, meaning employers in the state are generally experienced with international talent and the sponsorship process.
What is the prevailing wage for sponsored senior ai software engineer jobs in Colorado?
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.