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Ai Implementation Jobs in Milwaukee, WI (NOW HIRING)

Enhance customer experience and increase IPM productivity by implementing process improvements through documentation, automation, and AI capabilities. * Gather project requirements and business needs ...

Employer Implementation Analyst

Milwaukee, WI · Hybrid

$21.06 - $35.82/hr

  • Medical

  • PTO

As an Employer Implementation Analyst, you'll deliver top-notch service by supporting stakeholders ... If you wish to opt out of having AI technology transcribe your interview, please notify your ...

Employer Implementation Lead

Milwaukee, WI · Hybrid

$53K - $90K/yr

  • Medical

  • PTO

Employer Implementation Lead Join our team at Alegeus, where you'll experience unmatched ... If you wish to opt out of having AI technology transcribe your interview, please notify your ...

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

Essential Duties and ResponsibilitiesProduct Ownership & Business AlignmentPartner with business stakeholders to support the implementation of the enterprise AI roadmap and identify opportunities to ...

Essential Duties and ResponsibilitiesProduct Ownership & Business AlignmentPartner with business stakeholders to support the implementation of the enterprise AI roadmap and identify opportunities to ...

Partner with business stakeholders to support the implementation of the enterprise AI roadmap and identify opportunities to improve customer experience, employee productivity, operational efficiency ...

AI Engineer

Glendale, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This AI/ML Engineer role sits at the center of that transformation. You will do two things in ... Implement RAG architectures, agentic workflows, and prompt engineering patterns for production ...

Partner with business stakeholders to support the implementation of the enterprise AI roadmap and identify opportunities to improve customer experience, employee productivity, operational efficiency ...

Essential Duties and ResponsibilitiesProduct Ownership & Business AlignmentPartner with business stakeholders to support the implementation of the enterprise AI roadmap and identify opportunities to ...

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Showing results 1-20

Ai Implementation information

See Milwaukee, WI salary details

$38.4K

$102K

$165.5K

How much do ai implementation jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai implementation in Milwaukee, WI is $101,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $119,200.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are popular job titles related to Ai Implementation jobs in Milwaukee, WI?

For Ai Implementation jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Milwaukee, WI look for?

The top searched job categories for Ai Implementation jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Ai Implementation jobs?

Cities near Milwaukee, WI with the most Ai Implementation job openings:

Infographic showing various Ai Implementation job openings in Milwaukee, WI as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 78% In-person, 9% Hybrid, and 13% Remote job distribution, with an average salary of $101,991 per year, or $49 per hour.

AI Adoption and Implementation Lead

Alto-Shaam

Menomonee Falls, WI • Remote

Full-time

Re-posted 23 days ago


Alto-Shaam rating

6.6

Company rating: 6.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

394th of 490 rated machine equipment manufacturers


Job description

Company Description

Join the Alto-Shaam Team 

Virtually Tour our Facility:https://app.cloudpano.com/tours/piGHjskWR

Whether you're just beginning your career or have years of assembly experience-you've come to the right place. Working at Alto-Shaam means you're part of a passionate team of people all working together towards one common goal. We want you on our team, because you believe in getting better every day. That kind of continuous improvement is what leads to promotions, pay raises, and company-wide innovation.

Since 1955, Alto-Shaam has pioneered industry-leading foodservice equipment that anticipates and responds to industry needs. Our solutions have helped generations of foodservice professionals enhance their menus while providing a greater return on their investment.

Job Description

The AI Adoption & Implementation Lead is responsible for identifying, prioritizing, and delivering practical AI solutions across Alto-Shaam. Reporting to the VP of Technology, this role partners with all departments to evaluate high-impact opportunities, align them with appropriate tools and platforms, and lead end-to-end execution from pilot to full deployment. As a key member of the AI Leadership Team, this individual helps drive enterprise-wide AI strategy and adoption. This is a highly hands-on role, requiring both strategic vision and technical execution. Success is measured by delivering scalable, user-adopted AI solutions that generate tangible business value.

The ideal candidate for a AI Adoption and Implementation Lead would be able to do the following

Opportunity Discovery & Prioritization

  1. Lead structured working sessions with cross-functional leaders (Finance, Operations, Engineering, Sales, HR, Customer Service) to identify process inefficiencies and high-impact AI opportunities.
  2. Support the AI Steering Committee in building and maintaining a prioritized, enterprise-wide AI opportunity backlog.
  3. Develop and present clear, actionable AI roadmaps to the VP of Technology and executive team, including recommendations on build, buy, or configure approaches.
  4. Continuously evaluate emerging AI tools, platforms, and use cases, ensuring alignment with manufacturing and mid-market business needs.

Implementation & Execution

  1. Lead end-to-end delivery of AI initiatives, including requirements gathering, tool/vendor selection, configuration or development, testing, deployment, and post-launch monitoring.
  2. Integrate AI solutions into existing enterprise systems such as Oracle Fusion Cloud (ERP/SCM/Finance), Microsoft 365, SharePoint, CRM, and MES platforms.
  3. Design, build, and maintain AI-driven workflows, including LLM agents, copilots, retrieval-augmented generation (RAG) systems, and intelligent automation solutions.
  4. Establish and refine prompt engineering standards and evaluation frameworks; continuously improve solutions based on user feedback and performance metrics.
  5. Own delivery timelines and milestones, partnering with project managers to execute work, proactively mitigate risks, and resolve blockers.
  6. Serve as an AI subject matter expert and advocate, supporting change management efforts and translating technical concepts into practical business value across all levels of the organization.
  7. Partner with leadership to identify and develop a network of departmental AI Champions to drive adoption within each function.
  8. Design and deliver role-based AI training, including workshops, playbooks, and best-practice guidance for end users.
  9. Track, measure, and report on adoption, user satisfaction, and business impact of deployed AI solutions.

Governance, Security & Ethics

  1. Develop, implement, and maintain AI governance frameworks, including Acceptable Use Policy, Data Classification Guidelines, and Prompt Engineering Standards.
  2. Maintain an AI risk register, proactively identifying and mitigating risks related to data privacy, hallucinations, intellectual property, and regulatory compliance.
  3. Ensure all AI solutions adhere to organizational security standards and align with established IT governance processes.
  4. Collaborate with IT, Legal, and HR to address AI-related policy, compliance, and ethical considerations.

Vendor & Technology Management

  1. Evaluate, select, and recommend AI tools, platforms, and vendors aligned to business needs.
  2. Manage and evolve the enterprise AI technology stack, balancing cost, security, scalability, and integration complexity. 
  3. Provide ongoing insights to the VP of Technology on emerging AI trends, competitive applications, and potential risks. Measurement & Reporting

Measurement & Reporting

  1. Define and advise on key performance indicators (KPIs) to measure AI adoption, usage, and business impact.
  2. Deliver regular program updates to Technology leadership, including project status, pilot progress, adoption metrics, and spend.
  3. Continuously refine AI solutions using performance data, analytics, and user feedback to maximize value and effectiveness
Qualifications

EDUCATION / SKILLS REQUIRED:

  • Bachelor's degree in Information Technology, Computer Science, Engineering, Business Technology, or a related field (or equivalent practical experience).
  • 3-5 years of progressive experience in systems integration, automation, software development, or AI implementation.
  • Proven ability to deliver AI or automation solutions in a business environment, from pilot through full production deployment.
  • Hands-on experience with large language models (LLMs), AI-enabled workflows, and prompt engineering best practices.
  • Experience integrating AI solutions with enterprise platforms via APIs (e.g., ERP, CRM, SharePoint, or similar systems).
  • Strong communication skills with the ability to translate complex AI concepts for both technical and non-technical audiences, from frontline employees to executive leadership.
  • Demonstrated project management capability, including leading cross-functional initiatives and driving outcomes without direct authority.
Additional Information

For more information about our benefits, job duties, and company values, go to

https://www.alto-shaam.com/en


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