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Ai Integration Engineer Jobs in Appleton, WI (NOW HIRING)

Senior Software Engineer

Green Bay, WI

$119K - $157K/yr

Senior Software Engineer Work model:On-Site Location:Green Bay, WI, USA Shift:First shift Job level ... integration methodologies. * Embracing AI based software development practices for development ...

Site Reliability Engineer - Networking

Appleton, WI · On-site

$55.50 - $74/hr

... MCP integrations, and can critically evaluate AI-generated output for accuracy, security ... Network Engineering, Production Engineering, SRE, Site Reliability Engineering, DevOps, CCNP, CCIE ...

... AI tools to develop data platforms and data analytics solutions. · Understands business problems ... platforms o DevOps/Continuous integration & continuous delivery · Excellent analytical and ...

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Showing results 1-20

Ai Integration Engineer information

See Appleton, WI salary details

$43.4K

$121.3K

$169.3K

How much do ai integration engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai integration engineer in Appleton, WI is $121,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $136,600.00 per year, depending on experience, location, and employer.

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.

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.

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 cities near Appleton, WI are hiring for Ai Integration Engineer jobs? Cities near Appleton, WI with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 5% Hybrid, and 29% Remote job distribution, with an average salary of $121,258 per year, or $58.3 per hour.

Leader, AI Hyperspecialist Solutions Engineer (Central US)

Cisco

Appleton, WI

$235K - $301K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

57th of 156 rated electronics manufacturers


Job description

The application window is expected to close on: 07/24/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

The AI Hyperspecialist Solutions Engineering leader directs a team of solutions engineers who partner with sales, customers, and product teams to design and implement AI-powered solutions. This role requires deep technical credibility in AI/ML combined with strong people leadership, ensuring the team effectively translates customer needs into technical solutions while driving revenue and customer success.

Your Impact
  • Team Leadership: Manage, coach, and develop a team of solutions engineers/architects; conduct 1:1s, performance reviews, and skill development plans
  • Pre-Sales Support: Oversee technical discovery, solution design, demos, and proof-of-concepts (POCs) for prospective customers evaluating AI products
  • Customer Enablement: Guide the team in helping customers integrate AI/ML APIs, models, or platforms into their existing systems
  • Technical Strategy: Develop reusable solution architectures, demo environments, and best practices for common AI use cases (e.g., RAG, agents, fine-tuning, automation)
  • Cross-functional Collaboration: Partner closely with Sales, Product, Engineering, and Customer Success to align technical solutions with business goals and feed customer feedback into the product roadmap
  • Escalation Management: Serve as an escalation point for complex technical objections or implementation blockers during the sales cycle
  • Enablement & Training: Build technical training materials and certifications for the solutions engineering team and broader sales org
  • Process & Metrics: Track team performance metrics (POC win rate, time-to-value, deal velocity) and continuously improve pre-sales processes
  • Hiring: Recruit and interview candidates with strong technical and communication skills
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 5+ years in solutions engineering, sales engineering, or technical consulting, with 2+ years in a leadership role
  • Strong understanding of AI/ML concepts - LLMs, embeddings, RAG, model APIs, prompt engineering
  • Experience with cloud platforms (AWS, GCP, Azure) and integration technologies (APIs, SDKs, webhooks)
  • Proven ability to communicate technical concepts to both technical and non-technical/executive audiences
  • Track record of supporting complex enterprise sales cycles
Preferred Qualifications
  • Hands-on experience building demos or POCs using LLM APIs (OpenAI, Anthropic, etc.) or ML frameworks
  • Background in customer-facing technical roles at a SaaS or AI/ML company
  • Familiarity with vector databases, agentic frameworks, or MLOps tooling
  • Experience presenting at conferences, webinars, or customer events
  • Prior experience in a specific target industry (e.g., enterprise software, fintech, healthcare)
Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $235,300.00 to $301,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco's policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours ofunused sick timecarried forwardfrom one calendar yearto the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$257,800.00 - $374,100.00

Non-Metro New York state & Washington state:

$242,800.00 - $357,100.00

* For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.


What Cisco Systems employees say

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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