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Ai Agent Developer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$150 - $200/hr

TheAI Workflow Engineer / Automation Architect will work closely with AI leadership, product teams ... Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph ...

The Opportunity At Sema4.ai, we're building an Enterprise AI Agent platform that reinvents how ... You'll guide the technical direction of our agent framework while mentoring senior engineers and ...

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

... and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling ...

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

... and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling ...

WI · On-site

$150 - $200/hr

Architect and guide MLOps/LLMOps practices for deployment, monitoring, and model/agent lifecycle ... Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the ...

New

WI · On-site

$200 - $250/hr

Architect and guide MLOps/LLMOps practices for deployment, monitoring, and model/agent lifecycle ... Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the ...

New

WI · On-site

$200 - $250/hr

Architect and guide MLOps/LLMOps practices for deployment, monitoring, and model/agent lifecycle ... Mentor AI engineers, set coding and architecture standards, and raise the technical bar across the ...

New

WI · On-site

$80 - $100/hr

Als developer werk je aan de digitale mediatoepassingen van de toekomst en maak je state-of-the-art ... Kennis van Python en AI agent frameworks binnen Python is een pluspunt. * Basiskennis van CI/CD.

WI · On-site

$100 - $125/hr

NET. * Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework ... Partner with AI engineers/developers and business analysts to turn ideas and experiments into ...

WI · On-site

$125 - $150/hr

... AI|Agent Engineering Technical Skills 3 Technology|Generative AI|Prompt Engineering Technical ... Skills 4 Technology|Generative AI|Conversational AI Platform Technical Skills 5 Overview Infosys ...

WI · On-site

$150 - $200/hr

Apply MLOps/LLMOps practices (CI/CD, monitoring, model/agent lifecycle management) to keep deployed ... Science, AI, Data Science, or a related field. 8+ years of overall software engineering / IT ...

New

AI Enablement Specialist

Wauwatosa, WI · On-site

$150 - $200/hr

Design and deploy production-grade Autonomous Agents and multi-agent orchestrations to solve multi-step business problems. Design and engineer Agentic AI integrations that sit on top of legacy ...

Showing results 21-40

Ai Agent Developer information

See Wisconsin salary details

$29.3K

$48.4K

$100.4K

How much do ai agent developer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai agent developer in Wisconsin is $48,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $51,500.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

What are the most commonly searched types of Ai Agent Developer jobs in Wisconsin?

The most popular types of Ai Agent Developer jobs in Wisconsin are:

What are popular job titles related to Ai Agent Developer jobs in Wisconsin?

For Ai Agent Developer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in Wisconsin look for?

The top searched job categories for Ai Agent Developer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Agent Developer jobs?

Cities in Wisconsin with the most Ai Agent Developer job openings:

Infographic showing various Ai Agent Developer job openings in Wisconsin as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,379 per year, or $23.3 per hour.

AI Workflow Engineer/Automation Architect

Modern Family Law

WI • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

We’re building the future of legal services.

Modern Family Law (“MFL”) is seeking a highly technical, systems-oriented, and operationally sophisticatedAI Workflow Engineer / Automation Architectto help design and implement the next generation of AI-native legal workflows and operational automation systems.

This role is responsible for building the technical “plumbing” that powers AI-enabled legal service delivery, workflow orchestration, client automation systems, and operational integrations across the firm’s technology ecosystem.

TheAI Workflow Engineer / Automation Architect will work closely with AI leadership, product teams, attorneys, developers, and operations personnel to architect scalable workflow systems that integrate AI models, internal platforms, document systems, CRMs, client portals, communication systems, and business operations.

This individual will play a critical role in helping MFL evolve into an AI-native legal organization capable of delivering scalable, efficient, compliant, and client-centered legal services.

The ideal candidate combines strong engineering capability with operational systems thinking and a passion for building intelligent workflow infrastructure.

Key Responsibilities
  • Design, build, and maintain AI-enabled workflow orchestration systems across legal and operational processes.
  • Develop integrations between AI platforms, CRMs, document automation systems, client portals, payment systems, and internal operational tools.
  • Build automation pipelines and event-driven workflows that support legal intake, document generation, communication systems, workflow routing, and escalation protocols.
  • Collaborate with Legal Knowledge Engineers and Product Managers to translate legal workflows into scalable technical architectures.
  • Implement API integrations across third‑party platforms and internal systems.
  • Develop retrieval, prompt orchestration, and workflow execution systems supporting AI agents and AI-assisted processes.
  • Assist in designing scalable architectures for AI‑powered client experiences and internal operational systems.
  • Monitor workflow reliability, system performance, automation effectiveness, and operational scalability.
  • Troubleshoot automation failures, workflow bottlenecks, and integration issues.
  • Participate in security, governance, auditability, and compliance planning related to AI workflows.
  • Document workflow architectures, system logic, integration maps, and operational standards.
  • Evaluate emerging automation technologies, orchestration frameworks, and AI infrastructure tools.
Required Qualifications
  • Bachelor’s degree or equivalent practical experience in software engineering, computer science, information systems, automation engineering, or related field.
  • Deep experience in workflow automation, systems integration, software engineering, AI implementation, or automation architecture.
  • Production‑grade Python and using sound software engineering practices, including testing, code reviews, version control, and CI/CD.
  • Design, build, and optimize AI agent workflows using orchestration frameworks (e.g., LangGraph, LangChain), vector retrieval, LLM Observability platforms (e.g., LangVuse, LangSmith), and API/webhook integrations.
  • Strong understanding of APIs, workflow orchestration, event‑driven systems, and systems integration.
  • Experience working with automation platforms, orchestration tools, or AI infrastructure frameworks.
  • Production‑grade Python plus solid engineering practices (testing, code review, version control), and agent orchestration frameworks (LangGraph/LangChain, vector retrieval, LLM observability, e.g., LangFuse/LangSmith, API/webhook integrations).
  • Strong analytical, troubleshooting, and systems‑thinking abilities.
  • Ability to work cross‑functionally with technical and non‑technical stakeholders.
  • Excellent organizational and communication skills.
  • Ability to manage multiple complex projects in fast‑moving environments.
Preferred Qualifications
  • Experience with generative AI systems and AI orchestration frameworks.
  • Familiarity with OpenAI, Anthropic, LangChain, LlamaIndex, vector databases, retrieval systems, or workflow automation platforms.
  • Experience integrating CRM systems, document automation tools, client portals, or SaaS platforms.
  • Experience within legal technology, healthcare technology, financial services, or other regulated industries.
  • Familiarity with cloud infrastructure and scalable automation architectures.
  • Understanding of AI governance, auditability, data security, and confidentiality considerations.
  • Experience supporting AI‑powered conversational systems or agent architectures preferred.
Characteristics of the Ideal Candidate

The ideal candidate is a systems builder who enjoys solving complex operational problems through thoughtful engineering and intelligent automation.

This individual should possess the ability to:
  • Think architecturally and systematically.
  • Translate operational needs into scalable technical solutions.
  • Collaborate effectively across legal, operational, and technical teams.
  • Identify inefficiencies and design elegant workflow solutions.
  • Balance innovation, reliability, security, and operational scalability.
Compensation & Benefits

Modern Family Law offers highly competitive compensation, performance incentives, comprehensive benefits, and the opportunity to help shape one of the nation’s most innovative family law organizations.

Compensation will be commensurate with technical capability, engineering sophistication, operational impact, and strategic contribution.

About Modern Family Law

Modern Family Law is one of the nation’s leading family law firms, focused on combining exceptional legal representation with innovation, technology, and client‑centered service.

The firm is actively exploring AI-native legal workflows, advanced client experience systems, and new models for increasing accessibility, efficiency, scalability within legal services.

We believe the future of law belongs to organizations capable of combining outstanding legal talent with thoughtful technological innovation.

Skills and Competencies:
  • Ability to communicate professionally and interact effectively with employees, managers, leadership, attorneys, support staff, and external partners
  • Ability to be a proactive self‑starter who can operate independently while managing multiple priorities and deadlines
  • Demonstrated attention to detail, reliability, organization, and follow‑through
  • Flexibility and ability to respond positively to shifting priorities and business needsAbility to work under pressure and manage competing priorities while maintaining accuracy and professionalism
  • Ability to work in a primarily computer‑based environment, including extended periods of sitting, screen time, typing, and use of standard office equipment
  • Ability to occasionally lift and move office equipment or materials weighing up to 10 pounds
  • Ability to work occasional evenings or adjusted hours as needed to support onboarding, offboarding, or time‑sensitive operational needs
ADA Compliance:

All candidates and incumbents are expected to perform the duties as assigned so long as they can meet the expectations set forth with or without reasonable accommodations. Should a candidate or incumbent require accommodation, they need to advise the Director of People & Culture in advance.

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Anywhere -- eligible after 6 months https://modern-family-law-1.workable.com/backend/jobs/5910536/app-form
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