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Ai Integration Engineer Jobs in Colorado (NOW HIRING)

CACI

System Integration Engineer

Denver, CO · On-site

$171K/yr

System Integration Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... AI-enabled decision support, advanced analytics, or data engineering solutions Security+ or other ...

PTMA Financial Solutions

AI Engineer

Denver, CO · On-site

Build and maintain integrations and custom tooling, such as MCP integrations and API connections, that let AI work with PTMA's systems and data. Contribute to data and analytics engineering work as ...

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Ai Integration Engineer information

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$46.8K

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How much do ai integration engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai integration engineer in Colorado is $130,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

What are the key skills and qualifications needed to thrive as an AI integration engineer, and why are they important?

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

What is the difference between Ai Integration Engineer vs Data Scientist?

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.

What are popular job titles related to Ai Integration Engineer jobs in Colorado?

For Ai Integration Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ai Integration Engineer jobs in Colorado look for?

The top searched job categories for Ai Integration Engineer jobs in Colorado are:

What cities in Colorado are hiring for Ai Integration Engineer jobs?

Cities in Colorado with the most Ai Integration Engineer job openings:

Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Colorado as of August 2026, with employment types broken down into 65% Full Time, 19% Part Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,677 per year, or $62.8 per hour.

Electrical Hardware & AI Integration Engineer

Fort Collins, CO • On-site

Broadcom
Semiconductor and Electronic Component Manufacturing • 10K+ employees
Learn more about Broadcomexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Act as the primary technical liaison between GTO and design engineering teams to translate hardware requirements into IT solutions.

  • Utilize expertise in circuit analysis to evaluate performance margins for hardware components.

  • Identify and implement AI tools to automate engineering tasks such as circuit modeling and data analysis.

Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

Job description

Please Note:

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Job Description:

Broadcom's GTO team is seeking a high-energy, technically proficient Electrical Hardware & AI Integration Engineer to serve as a critical bridge between our IT infrastructure and our core Design Engineering business units.

In this role, you will not just support systems; you will provide hands-on expertise in hardware design and power electronics to ensure our technology stack evolves alongside our engineering needs. You will be tasked with leveraging emerging AI technologies to accelerate engineering workflows, automate circuit analysis, and optimize hardware development lifecycles.

Key Responsibilities

  • Engineering Interface: Act as the primary technical liaison between GTO and design engineering teams to translate complex hardware requirements into scalable IT solutions.

  • Hardware Validation & Analysis: Utilize expertise in Worst Case Circuit Analysis (WCCA) and sensitivity analysis to evaluate performance margins for automotive and aerospace-grade hardware.

  • AI-Driven Acceleration: Identify and implement emerging AI tools to automate repetitive engineering tasks, such as electronic component modeling in PSpice or signal integrity data analysis.

  • PCB & System Design: Support the development of mixed-signal hardware, including schematic design, component selection, and multi-layer PCB layout using tools like Altium Designer or Cadence.

  • Bring-up & Testing: Perform board bring-up and validation for high-speed digital systems, utilizing programmable PNAs and high-bandwidth oscilloscopes to verify system requirements.

  • Embedded Systems Implementation: Develop and tune embedded firmware (C/C++, Python/MicroPython) for closed-loop control systems and power regulation.

Qualifications

  • Bachelor of Science in Electrical Engineering

  • Technical Proficiency: * Design Tools: Mastery of Cadence PSpice, Altium Designer, LTSpice, and KiCad.

    • Programming: Strong foundations in Python, C/C++, and Matlab.

    • Engineering Concepts: Deep understanding of Power/Signal Integrity, FMEA, and communication protocols (SPI, UART, CAN).

  • Experience: Proven track record in fast-paced environments (startup or research labs) handling satellite communications, power converters, or high-speed digital systems.

  • Leadership: Demonstrated ability to lead technical teams or professional organizations, such as IEEE or FSAE-Electric.

Preferred Skills

  • Experience with Power Electronics (Buck, Boost, Flyback) and semiconductor device characterization.

  • Familiarity with safety-critical systems like Brake System Plausibility Devices (BSPD).

  • Ability to conduct formal design reviews and peer evaluations.


Compensation and Benefits


The annual base salary range for this position is USD 59,000.00 To USD 74,700.00

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.


Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.


Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.


If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.

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