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Ai Integration Engineer Jobs in Colorado (NOW HIRING)

Deloitte

Integration Engineer II- AI & Engineering

Denver, CO · Hybrid

$107K - $144K/yr

Integration Engineer II- AI & Engineering Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You ...

Broadcom, Inc.

IP Integration Engineer

Fort Collins, CO · On-site

$102K - $138K/yr

IP Integration Engineer Broadcom's ASIC Product Division (APD) is focused on enabling customers to ... Working knowledge with AI tools such as Chat GPT, Gemini, and/or Cursor Typical Duties Include:

Broadcom

IP Integration Engineer

Fort Collins, CO

$102K - $138K/yr

IP Integration Engineer Broadcom's ASIC Product Division (APD) is focused on enabling customers to ... Working knowledge with AI tools such as Chat GPT, Gemini, and/or Cursor Typical Duties Include:

Boost Mobile

Lead Integration Engineer

Littleton, CO · On-site

$100K - $132K/yr

EchoStar is reimagining the future of connectivity and is seeking a Lead Integration Engineer to ... store AI agent to retrieve real-time inventory or customer data autonomously • First 90 Days:

EchoStar

Lead Integration Engineer

Littleton, CO · On-site

$110K - $157K/yr

The role of a Retail Store Technology Lead Integration Engineer in 2026 has shifted from simply ... Launch a pilot implementation of an MCP-compliant interface that allows a store AI agent to ...

Broadcom

AI Software Engineer

Fort Collins, CO

Integrate AI into workflows: Responsible for embedding AI tools into daily operations across the ... Develop intelligent chatbots to enable engineers to quickly access critical information and ...

Broadcom, Inc.

AI Software Engineer

Fort Collins, CO · On-site

Integrate AI into workflows: Responsible for embedding AI tools into daily operations across the ... Develop intelligent chatbots to enable engineers to quickly access critical information and ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Colorado

Ai Integration Engineer information

See Colorado salary details

$46.8K

$130.7K

$182.4K

How much do ai integration engineer jobs pay per year?

As of Jul 30, 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 a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI executive, senior machine learning engineer, or AI research director that offers a total compensation package including salary, bonuses, and stock options. These roles usually require advanced skills in AI, deep learning, and data science, along with extensive experience and often involve leadership responsibilities in innovative technology companies.

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 does an AI integration engineer do?

An AI integration engineer designs and implements systems that incorporate artificial intelligence into existing software or hardware platforms. They work with machine learning models, APIs, and data pipelines to ensure seamless integration, often using programming languages like Python and tools such as cloud services. Their role involves testing, troubleshooting, and optimizing AI components for reliable performance within broader applications.

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.

Are AI engineers highly paid?

AI integration engineers are generally well-paid due to the high demand for expertise in artificial intelligence, machine learning, and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other engineering roles. Advanced skills in programming, neural networks, and cloud platforms can further increase earning potential.

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.

What engineer makes 500,000 a year?

Highly experienced AI Integration Engineers working in senior or specialized roles at large technology companies can earn salaries approaching or exceeding $500,000 annually, especially when including bonuses and stock options. Such compensation typically requires advanced skills in machine learning, software development, and cloud platforms, along with extensive industry experience and a strong track record of successful projects.

What are AI Integration Engineers?

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 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 July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $130,677 per year, or $62.8 per hour.

Integration Engineer II- AI & Engineering

Deloitte

Denver, CO • Hybrid

$107K - $144K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 150 rated financial services

Job description

Integration Engineer II- AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/31/2026.

Work You'll Do

As Integration Engineer II you will have hands-on integration development skills to develop solutions streamlining business processes working with internal teams, near-shore, off-shore technologists and vendor relationships. You will be part of API management strategies to enable seamless communication between applications. You will work across geographies with accountability for the success, effectiveness and delivery of multiple work streams, managing a large, dispersed technology team.

Key Responsibilities:

* Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator). Develop and implement solutions that adhere to established enterprise architecture frameworks.
* API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
* EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
* Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
* Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
* Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
* Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
* Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
* AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
Qualifications - Required Skills and Experience

* Bachelor's degree in computer science, software engineering, information technology or a related field.
* 4+ years of hands-on experience with various Integration tools which should include MuleSoft. Experience should also include experience working on at least one of these - Tibco, Workato, WebSphere - in a commercial setting (not in school).
* 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
* Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling)
* Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
* Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
* Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
* Must have experience with Mule ESB, SOA, Json, XDS, XML.
* Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
* Experience building MUnit test cases
* Current MuleSoft certifications and certifications with other Integration tools.
* Experience working in an Agile environment.
* Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and data mapping.
* Experience with EDI standards (ANSI X12, EDIFACT) and implementing EDI solutions, including understanding of common documents (810, 850, 856, etc.)
* Experience with rational databases and strong SQL skills.
* Strong understanding of the SDLC methodologies.
* One certification in a cloud technology platform such as AWS, GCP or Azure.
* Proficiency in at least one programming language - Spring Boot, JavaScript or Python.
* Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
*Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience

* Exposure to and understanding of enterprise architecture frameworks (e.g. TOGAF)
* Experience integrating specific enterprise systems such as Salesforce, SAP, Oracle, HCM, Workday, etc.
* Familiarity with cloud technologies and architectures (AWS, Azure, GCP).

Wages and Salary

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 $86,700-$170,900.


This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyC...


Qualifications:

Integration Engineer II- AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/31/2026.

Work You'll Do

As Integration Engineer II you will have hands-on integration development skills to develop solutions streamlining business processes working with internal teams, near-shore, off-shore technologists and vendor relationships. You will be part of API management strategies to enable seamless communication between applications. You will work across geographies with accountability for the success, effectiveness and delivery of multiple work streams, managing a large, dispersed technology team.

Key Responsibilities:

* Integration Design & Architecture: Design complex integration solutions following industry best practices and leveraging various integration design patterns (e.g., publish/subscribe, request/reply, aggregator). Develop and implement solutions that adhere to established enterprise architecture frameworks.
* API Management: Design, build, and manage APIs using API Management capabilities, ensuring secure and efficient communication between systems (REST/SOAP).
* EDI Implementation & Management: Implement and manage Electronic Data Interchange (EDI) processes, including configuration of trading partners, profiles, and standards (ANSI X12, EDIFACT).
* Development & Deployment: Develop, test, and deploy integration processes across environments (Test, UAT, Production), managing the full software development lifecycle (SDLC).
* Troubleshooting and Support: Monitor integration performance, proactively identify and resolve issues, and provide expert-level post-deployment support.
* Documentation: Create and maintain comprehensive technical documentation for designs, configurations, data mapping, and architectural decisions.
* Collaboration & Best Practices: Work closely with cross-functional teams to optimize data flows and adhere to industry best practices in integration development.
* Accountability: Take ownership of assigned integration projects, manage expectations, and guide junior team members toward successful project delivery.
* AI & Agentic Integration: Utilize AI features (e.g., MuleSoft Vibes) to accelerate development, automate documentation, and troubleshoot issues

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
Qualifications - Required Skills and Experience

* Bachelor's degree in computer science, software engineering, information technology or a related field.
* 4+ years of hands-on experience with various Integration tools which should include MuleSoft. Experience should also include experience working on at least one of these - Tibco, Workato, WebSphere - in a commercial setting (not in school).
* 4+ years of experience in the design and development of enterprise services using RAML in Mule, REST based APIs, SOAP Web Services and use of different Mule connectors.
* Should have MuleSoft Anypoint studio experience - hands-on designing and related Mule components (Mule ESB, ETLs, flows, Dataweave, Filtering, exception handling)
* Previous experience working in a consulting firm environment or within a relevant industry sector (e.g. retail, healthcare, manufacturing, financial services, etc.).
* Experience with Java, middleware, Mule ESB, strong knowledge of SOA and experience in designing Mule interfaces.
* Fluency with Web Services Standards such as XML, SOAP, REST, strong understanding of RDBMS.
* Must have experience with Mule ESB, SOA, Json, XDS, XML.
* Experience in continuous integration and continuous deployment using Maven, Jenkins, BitBucket, GIT, and MuleSoft with familiarity with DevOps principles.
* Experience building MUnit test cases
* Current MuleSoft certifications and certifications with other Integration tools.
* Experience working in an Agile environment.
* Strong understanding of enterprise integration design patterns, API protocols (REST/SOAP), XML, JSON, and da...

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