AI Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI engineer job market centers on Denver's growing tech corridor, Boulder's research-driven startups, and major employers like Google, Palantir, and Arrow Electronics. The state's proximity to national labs and strong university pipelines from CU Boulder and Colorado State make it an active market for international AI engineers seeking visa sponsorship.
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Get Access To All JobsAI Data Foundation Research Engineer
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Role and Responsibilities
Successful candidates will work on development of infrastructures and algorithms to capture, manage, enhance and interpret meta-data and lineage for AI pipelines to enable reproducibility, reuse and optimization of pipelines; search, discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications; development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning), including data and knowledge context retrieval, filtering, prioritization, advanced reasoning, reasoning trace capture and validation, to improve quality of AI agentic workflows. Successful candidates will also work on development of Agentic OS infrastructures to enable consistent management of context, reasoning, governance policies and guardrails across different agentic harnesses. We are particularly interested in individuals with a background in computer systems, machine learning, deep learning, statistics, generative AI, data management, and big data pipelines, with good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.
Qualifications and Education Requirements
PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI plus 3 years of relevant industry experience.
Preferred Skills
- Research experience in Generative AI, Deep Learning and Machine Learning
- Experience with advanced AI model architectures: LLMs, Time Series Foundation Models, Diffusion Models, etc.
- Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, lakeFS, Pachyderm, Common Metadata Framework, Flowcept)
- Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow, Ray)
- Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, Autogen, LlamaIndex, OpenCode, Cloud Code, Academy, etc.)
- Outstanding analytical and problem solving skills
- Strong programming skills in Python with high proficiency in data structures and algorithms
- Proficiency in using coding agents and co-pilots for accelerated code development
- Experience with CI/CD code development
- Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)
- Experience with knowledge graphs and knowledge infused learning – a plus
- Expertise in research of data and workflow management systems – a plus
- Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments and/or HPC simulations) – a plus
- Experience in system software performance and scalability optimization – a plus
- Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – a plus
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Job:
Engineering
Job Level:
TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 132,500 - 252,500 in Colorado
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
The estimated job application period closure is November 30 2026; this timeline is provided for transparency and internal planning purposes.
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
AI Data Foundation Research Engineer
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Role and Responsibilities
Successful candidates will work on development of infrastructures and algorithms to capture, manage, enhance and interpret meta-data and lineage for AI pipelines to enable reproducibility, reuse and optimization of pipelines; search, discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications; development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning), including data and knowledge context retrieval, filtering, prioritization, advanced reasoning, reasoning trace capture and validation, to improve quality of AI agentic workflows. Successful candidates will also work on development of Agentic OS infrastructures to enable consistent management of context, reasoning, governance policies and guardrails across different agentic harnesses. We are particularly interested in individuals with a background in computer systems, machine learning, deep learning, statistics, generative AI, data management, and big data pipelines, with good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.
Qualifications and Education Requirements
PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI plus 3 years of relevant industry experience.
Preferred Skills
- Research experience in Generative AI, Deep Learning and Machine Learning
- Experience with advanced AI model architectures: LLMs, Time Series Foundation Models, Diffusion Models, etc.
- Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, lakeFS, Pachyderm, Common Metadata Framework, Flowcept)
- Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow, Ray)
- Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, Autogen, LlamaIndex, OpenCode, Cloud Code, Academy, etc.)
- Outstanding analytical and problem solving skills
- Strong programming skills in Python with high proficiency in data structures and algorithms
- Proficiency in using coding agents and co-pilots for accelerated code development
- Experience with CI/CD code development
- Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)
- Experience with knowledge graphs and knowledge infused learning – a plus
- Expertise in research of data and workflow management systems – a plus
- Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments and/or HPC simulations) – a plus
- Experience in system software performance and scalability optimization – a plus
- Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – a plus
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Job:
Engineering
Job Level:
TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 132,500 - 252,500 in Colorado
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
The estimated job application period closure is November 30 2026; this timeline is provided for transparency and internal planning purposes.
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
AI Engineer Job Roles in Colorado
See all 48+ AI Engineer Jobs in Colorado
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Search AI Engineer Jobs in ColoradoAI Engineer Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for AI engineers?
Palantir Technologies, headquartered in Denver, is one of Colorado's most active H-1B visa sponsors for AI and data engineering roles. Google's Boulder office, Lockheed Martin's aerospace AI division, and Arrow Electronics also appear regularly in Department of Labor LCA disclosure data for AI-related petitions. Several Denver-based healthtech and fintech startups have sponsored H-1B and O-1 visas for machine learning and AI infrastructure engineers as well.
Which visa types are most common for AI engineer roles in Colorado?
The H-1B is the most common visa category for AI engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. O-1A visas are an option for engineers with demonstrated exceptional ability, such as published research or patents. Candidates with Canadian or Mexican citizenship may also qualify for TN visa status under the 'Computer Systems Analyst' or 'Engineer' categories.
Which cities in Colorado have the most AI engineer visa sponsorship jobs?
Denver is the primary hub, with the highest concentration of tech employers and AI-focused companies filing LCA petitions in the state. Boulder follows closely, driven by university spinouts, research institutions, and companies like Google with a significant local presence. Colorado Springs has a smaller but growing cluster of AI roles tied to defense contractors and cybersecurity firms. Remote-first roles sponsored by Colorado-based companies are also increasingly common across the state.
How to find ai engineer visa sponsorship jobs in Colorado?
Migrate Mate is a job board built specifically for international candidates, filtering AI engineer roles in Colorado by visa sponsorship availability. Because many Colorado employers list roles without explicitly mentioning sponsorship, using a platform like Migrate Mate that screens for sponsorship history saves significant time. Filtering by Denver and Boulder, where LCA filing activity is highest, tends to surface the strongest opportunities for AI engineers seeking H-1B or O-1 sponsorship.
Are there state-specific considerations for AI engineers pursuing sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives AI engineer candidates useful context when evaluating offers relative to the prevailing wage the employer must certify on the Labor Condition Application. CU Boulder and Colorado State University produce a consistent pipeline of AI and ML graduates, meaning Colorado employers are familiar with sponsoring OPT and H-1B transitions. The state's concentration of federal contractors also means some roles may require security clearances, which can complicate sponsorship for non-citizens.
What is the prevailing wage for sponsored ai 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.