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Ai Application Developer Jobs in Milwaukee, WI (NOW HIRING)

This role spans the full product lifecycle: discovery, experimentation, application delivery, and ... Strong applied AI and software engineering fundamentals * Builders who can span tech, product, and ...

AI Engineer

Milwaukee, WI ยท On-site

$90 - $120/hr

This role spans the full product lifecycle: discovery, experimentation, application delivery, and ... Strong applied AI and software engineering fundamentals * Builders who can span tech, product, and ...

Senior AI Engineer

Denver, CO ยท On-site

$107K - $147K/yr

The role requires a hands-on technical leader who can balance complex engineering with practical business application and drive technical alignment across the AI department. Key Responsibilities

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from data pipeline through deployed application. You will make sound technical decisions within your scope ...

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from data pipeline through deployed application. You will make sound technical decisions within your scope ...

Lovable Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

... developers seeking rapid application prototyping and deployment with AI-powered tools. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material ...

This role spans the full product lifecycle: discovery,experimentation,application delivery, and ... Strong applied AI and software engineering fundamentals * Builderswho canspantech,product,and ...

Showing results 21-40

Ai Application Developer information

See Milwaukee, WI salary details

$16

$51

$83

How much do ai application developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai application developer in Milwaukee, WI is $51.86, according to ZipRecruiter salary data. Most workers in this role earn between $41.68 and $59.66 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

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

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

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

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

Infographic showing various Ai Application Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $107,874 per year, or $51.9 per hour.

Cybersecurity Engineer (Application Security focus) (West Bend)

Delta Defense

West Bend, WI โ€ข On-site

$57.25 - $76.50/hr

Part-time

Posted 10 days ago


Job description


Job Category: Information Technology
Requisition Number: CYBER002028
Description

Position Summary

You are the kind of engineer who stays curious when no one is watching. You read threat intelligence because understanding the adversary is how you stay ahead of them. When something is compromised, you run toward it. You care more about getting it right than getting credit for it. You have likely seen what happens when strong security talent gets trapped in slow, rigid organizations where good ideas stall, risk decisions lack context, and the work feels disconnected from the people it is supposed to protect.

This is not that team.

Delta Defense powers the USCCAยฎ, the nationโ€™s largest self-defense membership organization. We protect life, freedom, and the financial security of responsible American gun owners. The trust, data, products, and platforms behind that mission must be protected with discipline and precision. Our Information Security team exists to secure the perimeter, guard our crown jewels, and build the resilience that allows our people, business, and members to operate with confidence.

As our Cybersecurity Engineer, you will help build and advance a modern security engineering program across product engineering, cloud infrastructure, and analytics teams.

We believe great security is more JUDO than SUMO: skill over force, leverage over friction, precision over noise. That means we do not win by slowing teams down. We win by understanding the business, collaborating with teams early, reducing risk intelligently, and helping Delta Defense move faster with confidence.

Your work will be visible. Your judgment will matter. And the members depending on us will be safer because you showed up.

If that is the standard you already hold yourself to, we want to hear from you!

Duties & Responsibilities

  • Application Security & Secure SDLC: Lead application security across the software development lifecycle by partnering with Engineering and DevOps to integrate security into design, development, testing, and deployment. Perform threat modeling, secure design reviews, code reviews, and implement automated SAST, DAST, SCA, and secrets detection within CI/CD pipelines while enabling engineering teams to deliver secure software at scale.
  • Web App & API Security: Design, implement, and continuously improve web application and API security controls across the enterprise. Develop and tune WAF policies, conduct API security assessments, identify business logic vulnerabilities, and establish secure-by-design standards that reduce risk without unnecessarily impacting developer velocity.
  • Penetration Testing & Offensive Security: Plan and execute penetration testing activities against web applications, APIs, cloud environments, and supporting infrastructure. Validate vulnerabilities through manual testing, prioritize findings based on business risk, and partner with engineering teams to ensure timely remediation and measurable risk reduction.
  • AI Security & Governance: Develop and enforce security controls governing enterprise AI platforms and internally developed AI capabilities. Establish policies for data classification, model usage, access controls, audit logging, and secure integration of AI technologies while ensuring responsible adoption across the organization.
  • AI Threat Modeling & Security Engineering: Perform security assessments of Retrieval-Augmented Generation (RAG), agentic AI systems, MCP integrations, and large language model applications. Identify and mitigate risks including prompt injection, indirect prompt injection, insecure tool use, excessive agent permissions, model abuse, and data leakage using industry guidance such as the OWASP LLM Top 10 and MITRE ATLAS.
  • IR & Detection Engineering: Contributes to technical investigation and response activities for security incidents including threat analysis, digital forensics, containment, eradication, and root cause analysis.
  • Vulnerability Management: Operate a risk-based vulnerability management program that prioritizes remediation based on exploitability, business impact, and threat intelligence rather than scanner severity alone. Measure remediation effectiveness, track risk reduction, and ensure security controls align with frameworks including NIST CSF, CIS Controls, OWASP, PCI DSS, and organizational security standards.
  • Cloud & Infrastructure Security: Contributes to maintenance of secure cloud environments across AWS, Google Cloud, and DigitalOcean. Design and implement cloud security architecture including IAM, Kubernetes security, container security, Infrastructure-as-Code security scanning, secrets management, workload protection, and Zero Trust network controls.
  • Security Automation & Platform Engineering: Design and build security automation that improves operational efficiency and security outcomes using scripting, APIs, Infrastructure as Code, and AI-assisted workflows. Develop integrations between security platforms, automate repetitive security processes, and leverage AI responsibly to enhance detection, investigation, and response while maintaining appropriate governance and oversight.
  • Technical Leadership & Security Advisory: Serve as a trusted technical advisor across Engineering, Infrastructure, and Product teams by providing security guidance, mentoring engineers, evaluating emerging technologies, and translating complex security risks into practical engineering solutions. Continuously research evolving threats, techniques, and defensive capabilities to improve the organizationโ€™s overall security posture.

Skills & Abilities

  • Deep cybersecurity engineering capability across application security, cloud and infrastructure security, data platform security, detection engineering, and vulnerability management, with practical experience securing modern cloud-first environments and large-scale SaaS and data platforms.
  • Hands-on application security experience with SAST, DAST, SCA, secure code review, API security, WAF tuning, threat modeling, CI/CD security, and secrets management using tools such as Doppler, Semgrep, Snyk, Burp Suite, OWASP ZAP, Cloudflare, HashiCorp Vault, or equivalent.
  • Proficient in at least one programming or scripting language with the ability to read, write, and exploit code in a security context; Python, JavaScript, PHP, Golang, or Rust preferred.
  • Working knowledge of AI security risks and controls, including prompt injection, indirect prompt injection, model abuse, data leakage, agentic workflow vulnerabilities, OWASP LLM Top 10, MITRE ATLAS, and emerging AI security tooling.
  • Practical cloud and infrastructure security experience across DigitalOcean, AWS, GCP, Kubernetes, IAM, CSPM, IaC scanning, container security, zero-trust/SASE architectures, and security tooling such as EDR, SIEM, CASB, SWG, DLP, IDS/IPS, and PAM.
  • Communicates risk clearly in business terms, influences cross-functional stakeholders without direct authority, stays composed and decisive during active incidents, drives remediation to closure, and demonstrates the Core Values of Delta Defense, LLC.

Education & Experience Requirements

  • Bachelor's degree in Computer Science, Information Security, Cybersecurity, Information Technology, or a related field preferred; equivalent work experience and relevant certifications may be considered in lieu of a degree.
  • Minimum 3 years of cybersecurity engineering experience working closely with application, software, data engineering, DevOps, cloud, infrastructure, or security operations teams.
  • Experience securing applications, APIs, cloud platforms, CI/CD pipelines, Kubernetes environments, data platforms, and modern engineering ecosystems using technologies such as JavaScript, PHP, PostgreSQL, Kafka, NeonDB, GitLab, Python, Snowflake, dbt, Fivetran, Databricks, Tableau, Informatica, Kestra, or related technologies.
  • Strong understanding of security frameworks and control models, including NIST CSF, CIS Controls, PCI DSS, Cyber Defense Matrix, ISO 27001, OWASP, and MITRE ATT&CK.
  • Preferred certifications include CCSP, CASP+, Security+, CEH, GPEN, GWAPT, or other relevant cloud, application security, AI security, offensive security, or security engineering certifications.

Please note that applicants must be authorized to work in the United States without the need for current or future sponsorship.

Working conditions

  • Remote or Hybrid

Compensation

  • Target Salary Range = $100,000 - $125,000
  • Eligible for Company Incentive Bonus

Learn more & apply: https://www.deltadefense.com/careers

Why Work at Delta Defense?

Because culture mattersโ€”and ours is legit.

  • Fast-paced, mission-driven, and genuinely fun
  • #25 on The Wall Street Journalโ€™s 2025 Top 100 Americaโ€™s Most Loved Workplaces
  • Newsweek Top 100 Americaโ€™s Most Loved Workplaces (2023 & 2024)
  • Inc. 5000 โ€œFastest Growing Private Companiesโ€ โ€“ 14 years in a row

Most importantly, your work here actually matters.

Youโ€™ll help Americans protect themselves, their families, and their freedomsโ€”every single day.

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