Top 10 Companies Hiring AI Engineers in Fort Collins, CO in 2026

Table of Contents

• Introduction
• Anheuser-Busch
• Camgian Corporation
• Broadcom
• UCHealth
• Otter Products
• Colorado State University
• Advanced Micro Devices
• BillGO
• Woodward, Inc.
• Hewlett Packard Enterprise
• Conclusion
• Frequently Asked Questions

Anheuser-Busch

At the Anheuser-Busch Fort Collins Brewery, AI engineering is applied to master ancient craft at an industrial scale. Engineers here deploy models using Python, SQL, and industrial automation platforms like Siemens to optimize biological and chemical processes, focusing on tangible, physical-world problems.

Core projects include optimizing fermentation process control for consistent flavor, deploying computer vision for packaging quality and safety monitoring, and streamlining a global supply chain. This is a definitive role in "Practical ML," where success is measured in reduced waste and energy consumption on the factory floor.

The financial incentive is clear, with Machine Learning Engineers commanding a salary range of $130,000 to $165,000, reflecting the specialized need for professionals who can bridge data science and heavy industrial operations. The interview process mirrors this, with a heavy focus on using data to solve specific, gritty production challenges.

This role represents a unique niche in the Colorado tech scene, offering the rare opportunity to apply machine learning to a living biological process - yeast metabolism - at a truly massive scale. For those interested, job listings for similar industrial data roles in Northern Colorado highlight the growing demand for this skillset.

Camgian Corporation

Nestled in the foothills, Camgian Corporation offers a unique Fort Collins portal into the high-stakes realm of AI for space and national defense. Engineers here work on mission-critical systems where algorithms directly support national security, providing a profound sense of purpose.

The technical work involves Python, TensorFlow, and specialized sensor-fusion frameworks for projects like AI/ML-powered solutions for space and missile defense prototyping and real-time threat detection and tracking. Teams are small, high-seniority "Prototyping Teams" that work closely with defense agencies, requiring both deep expertise and agility.

Compensation for Senior AI Engineers reflects this niche, ranging from $103,400 to $142,000, with many roles requiring security clearance. The interview process is accordingly rigorous, involving extensive background checks and technical assessments focused on signal processing and ML theory for real-time systems.

The big attraction is working on the cutting edge of defense technology from a base in Fort Collins, at the unique intersection of aerospace engineering, advanced sensors, and AI. For those drawn to this sector, entry-level AI engineering roles in the area often list defense contractors like Camgian as key players in the local tech ecosystem.

Broadcom

Broadcom's Fort Collins facility is a legendary hub in the semiconductor world, deeply focused on building the foundational silicon and systems that power the global AI internet. Engineers here work at the critical hardware-software interface, using C++, Python, and Verilog to develop AI-driven network traffic optimization and machine learning tools for chip design (EDA tools).

You're not just using AI tools; you're building the essential "plumbing" they run on. The compensation is top-tier, reflecting this foundational role, with senior-level base salaries reaching $165,000 to $220,000+, supplemented with high-value RSUs. The team structure is hardware-centric, with AI engineers collaborating directly on the firmware and software layers of next-generation networking chips.

The interview process is known for rigorous whiteboarding sessions on algorithms and low-level system design, testing a candidate's ability to think from the transistor up. According to industry trackers, Broadcom is actively recruiting AI Software Engineers in Fort Collins to integrate AI directly into these hardware design flows, making it a prime destination for those interested in the substrate of computation itself.

UCHealth

At UCHealth's Northern Colorado facilities, AI transcends optimization to achieve a profoundly human goal: directly saving lives. Engineers and data scientists here bridge the gap between advanced algorithms and bedside care, working on projects with immediate clinical impact.

The technical stack includes Python (with PyTorch), SQL, and medical imaging formats like DICOM. Key projects range from medical imaging analysis for early cancer detection to predictive analytics for patient risks like sepsis and hospital length of stay. This work requires a unique blend of technical skill and clinical understanding.

Roles are typically part of system-wide "Data Science and AI Excellence" centers, demanding constant collaboration with doctors, nurses, and clinical staff. For ML Engineers, the Colorado average salary is a solid $118,251 to $154,971, complemented by the powerful non-monetary benefit of tangible purpose.

The interview process heavily emphasizes "domain expertise." As noted in a discussion on healthcare AI roles, "The interviewer will always...focus on domain expertise like chemistry or biology to qualify." This reflects the critical need to responsibly apply statistics and ML to sensitive healthcare data. Your models directly influence patient outcomes, making this mission-driven work where the feedback loop is measured in human wellness, a focus highlighted by industry professionals in specialized AI groups.

Otter Products

Otter Products offers a masterclass in applying AI across the entire lifecycle of a tangible, global consumer product. From the factory floor to the customer's hands, engineers on the "Business Intelligence & Analytics" team use their skills to optimize a brand known worldwide, all from its Fort Collins headquarters.

The technical work is diverse, utilizing Python, SQL, Snowflake, and AWS SageMaker to tackle everything from computer vision for quality control in manufacturing to sophisticated demand forecasting for global retail. The team structure acts as a central bridge between manufacturing data, supply chain logistics, and consumer insights.

For mid-level AI roles, compensation is competitive, with an estimated regional range of $140,000 to $175,000. The interview process, as detailed on Glassdoor, typically involves an application screening, a skills assessment (used in about 16% of their process), followed by a deeper manager and panel interview (noted in 26% of reviews).

The big attraction is the chance to touch every stage of a physical product's journey. It's a homegrown success story where your algorithms help ensure quality and efficiency for millions of devices. For those interested, Built In Colorado's job board frequently lists data and AI roles at established local manufacturers like OtterBox, showcasing this pillar of the Northern Colorado tech ecosystem.

Colorado State University

For AI specialists driven by societal and environmental impact, Colorado State University serves as a beacon. Here, research is applied to sectors that corporate roles often miss, focusing on sustainability, public health, and planetary stewardship.

The work utilizes Python (with Scikit-learn and PyTorch), R, and specialized GIS tools on critical projects. These include real-time mapping for agencies like the National Park Service, AI-driven climate modeling, and biomedical research such as infectious disease modeling. It's AI in direct service of public good.

Team structures are research-heavy, based within the Computer Science department or multidisciplinary centers like the Data Science Research Institute. Compensation reflects the academic and research setting, with Data/AI Specialists earning $104,000 to $114,400 ($50-$55/hr), while academic paths like Associate Professors with an ML focus can reach $120,000 to $160,000+.

The interview process follows traditional academic vetting, involving peer review of publications and presentations on past research. The unique attraction is working on problems where exceptional accuracy is an environmental or public health imperative. As highlighted in LinkedIn job posts, CSU hires for roles that partner with federal agencies, tackling foundational challenges. This mission-driven focus is a cornerstone of the growing AI ecosystem across Northern Colorado.

Advanced Micro Devices

AMD's Fort Collins operations place engineers in the heart of the global competition to build better, more efficient AI hardware. This work is fundamental to enabling the next wave of decentralized AI, optimizing models to run directly on local devices rather than in distant data centers.

Engineers focus on AI product engineering for next-generation silicon, using a cutting-edge stack of C++, Python, and AMD’s own ROCm open software platform to optimize machine learning models for AMD Instinct GPUs and Ryzen AI processors. The team structure is cross-functional, with hardware and software experts collaborating closely in "AI silicon enablement" groups.

Compensation is structured to attract top talent, with entry-level roles for Masters holders ranging from $79,872 to $119,808. PhD and Senior roles command a base of $91,520 to $137,280, supplemented by significant equity packages. The interview process is notoriously rigorous, heavy on low-level C++ programming, kernel optimization, and understanding the entire "math-to-silicon" pipeline.

The big attraction is building the tools that allow AI to run faster and more efficiently on the hardware in our pockets and homes. As noted in a 2026 internship posting, AMD actively seeks PhD candidates to focus on "next-generation product differentiation," highlighting their investment in foundational AI research right here in Northern Colorado. This positions Fort Collins as a critical node in the high-stakes AI semiconductor race.

BillGO

As a fintech leader born in Fort Collins, BillGO embodies the dynamic spirit of the local startup scene while tackling complex, high-stakes enterprise problems. The company offers what many seek: the speed and ownership of a startup applied to the critical domain of financial transactions.

AI Scientists at BillGO use Python, PyTorch, SQL, and Snowflake to build systems for B2B payment optimization, advanced fraud detection, and NLP for parsing financial documents. They operate in small, empowered teams with end-to-end ownership of projects, requiring a blend of deep technical skill and product sense.

This responsibility is matched by strong compensation, with AI Scientists earning $132,800 to $196,500. The interview process is designed to find candidates who can handle this scope, including technical screenings on ML fundamentals and a strong emphasis on designing scalable, secure systems for production.

The attraction is clear: you get to move fast and build critically important systems in the fast-evolving world of payments, all from within a homegrown Fort Collins success story. BillGO is consistently ranked among top local AI employers on platforms like Indeed. Their presence is a testament to Northern Colorado's growing fintech corridor, where, as noted in state tech coverage, companies and job seekers are increasingly leveraging AI for competitive advantage.

Woodward, Inc.

At Woodward, Inc., artificial intelligence moves beyond the digital realm to control and safeguard the physical world. Engineers here apply Python, C++, and Azure ML to build predictive maintenance systems for aerospace turbines and real-time optimization for industrial fuel systems, where algorithmic precision meets mechanical engineering.

Teams are integrated "Digital Transformation" units that blend deep domain expertise with specialized machine learning. In this environment, model performance is measured against the stark requirement of "99.9% accuracy" - not as a mere metric, but as a fundamental safety standard. A failure here isn't a software bug; it's a potential catastrophe for global aviation or energy infrastructure.

Compensation is highly competitive, reflecting this critical mission. Salary ranges progress from L1 roles at $118,631 to $148,668, to Senior positions at $153,000 to $188,801, with Staff-level roles reaching up to $232,476+. The interview process, detailed on Glassdoor, heavily utilizes the STAR method for behavioral rounds and includes group panel interviews (noted in 22% of reviews) and skills tests (8%).

Woodward is a prime example of Fort Collins' advanced manufacturing sector leveraging AI for mission-critical applications. For engineers drawn to this intersection of data and tangible hardware, the company represents a top destination, with active Data Scientist roles focused on transforming industrial operations through intelligent systems.

Hewlett Packard Enterprise

Hewlett Packard Enterprise's Fort Collins office isn't just another tech outpost - it's a global hub for supercomputing, the literal foundation upon which the AI revolution is built. Engineers here work on the infrastructure that makes large-scale AI possible, focusing on advanced research in large-scale model orchestration and optimizing high-performance computing (HPC) clusters for massive training workloads.

The technical work involves cutting-edge tools like PyTorch, TensorFlow, and HPE’s own Ezmeral software for MLOps. Teams are managed by the prestigious HPE Labs, focusing on transitioning groundbreaking R&D into the enterprise-grade products that shape the entire industry. This role is about building the substrate of AI itself.

Compensation is top-of-market, reflecting this foundational position. Graduate and entry-level roles command $126,500 to $155,000, while Senior AI Engineers earn $185,000 to $240,500. The interview process involves technical deep dives into ML theory and system design for distributed training at scale, with senior roles often including a research presentation.

As the largest AI employer in the area, HPE offers a unique chance to solve foundational problems in computing. For engineers drawn to this scale, Fort Collins AI job listings on Indeed consistently feature HPE roles, highlighting its central position in Northern Colorado's tech corridor and its demand for talent that can work from the silicon up.

Conclusion

So, which pumpkin earns your blue ribbon? The vibrant AI landscape of Fort Collins in 2026 mirrors the county fair contest, presenting a spectrum of excellence where the "best" choice hinges entirely on the rubric you value most. Is it the scale of industrial biology, the precision of life-saving medical models, or the foundational silicon of global computation?

Your ideal role isn't the one ranked first on a generic list, but the company whose unique application of intelligence - to jet engines, financial transactions, or climate data - resonates with the problem you want to solve. This personalized approach is critical in a mature market where, according to industry analysis, roughly 72% of AI/ML engineers in the area report satisfaction with their current pay, indicating a healthy alignment between work and reward.

As Christine Heitz, CEO of Colorado Thrives, emphasizes, "Through the noise of job boards, there is tremendous power in simplicity and more direct, community-based connections." Use this list not as a hierarchy to climb, but as a map to navigate the Northern Colorado ecosystem. Your path forward is supported by local resources like LinkedIn's AI job listings in Fort Collins and community initiatives focused on meaningful matches between talent and mission.

The right opportunity is waiting where your skills meet a purpose that matters, right here in the Front Range metro area. The blue ribbon is yours to award.

Frequently Asked Questions