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Ai Implementation Jobs in Delafield, WI (NOW HIRING)

Design and implement AI-driven capabilities and agents that enhance data platform capabilities, automate complex workflows, and improve how data is discovered, managed, governed, and consumed.

Senior AI Data Engineer

Wauwatosa, WI · On-site

$121K - $151K/yr

Design and implement AI-driven capabilities and agents that enhance data platform capabilities, automate complex workflows, and improve how data is discovered, managed, governed, and consumed.

Senior AI/ML Engineer

Watertown, WI

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Senior AI/ML Engineer

Watertown, WI · On-site

$99K - $136K/yr

Establish KPIs, track progress from the current to 100% adoption, implement interventions to ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...

Implement automated build, test, deployment, monitoring, and feedback processes in Microsoft ... Collaborate with ISC AI COE leadership, stakeholders, and cross-functional teams to align on use ...

Own AI solutions endtoend, from design and development through production deployment and ... Implement automated build, test, deployment, monitoring, and feedback processes in Microsoftcentric ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ...

AI Solutions Engineer

Milwaukee, WI

$15.25 - $20.25/hr

... implementations? If so, consider joining Baker Tilly as an AI Solutions Engineer, where you'll ... build intelligent, autonomous agentic solutions that streamline business processes, integrate with ...

AI Solutions Engineer

Milwaukee, WI · On-site

$12.75 - $16.75/hr

... implementations? If so, consider joining Baker Tilly as an AI Solutions Engineer, where you'll ... build intelligent, autonomous agentic solutions that streamline business processes, integrate with ...

Senior Advanced AI Research Engineer

Milwaukee, WI · On-site

$103K - $141K/yr

Our Data & AI practice brings together more than 45,000 professionals helping clients design ... Translate research findings into production-grade implementations: engineered Python services ...

AI Solutions Engineer

Milwaukee, WI · On-site

$12.75 - $16.75/hr

... implementations? If so, consider joining Baker Tilly as an AI Solutions Engineer, where you'll ... build intelligent, autonomous agentic solutions that streamline business processes, integrate with ...

Showing results 41-60

Ai Implementation information

See Delafield, WI salary details

$37.4K

$99.3K

$161.1K

How much do ai implementation jobs pay per year?

As of Aug 17, 2026, the average yearly pay for ai implementation in Delafield, WI is $99,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $116,100.00 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 cities near Delafield, WI are hiring for Ai Implementation jobs?

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

Infographic showing various Ai Implementation job openings in Delafield, WI as of June 2026, with employment types broken down into 79% Full Time, 16% Part Time, and 5% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $99,289 per year, or $47.7 per hour.

Principal AI Engineer

AllSTEM Connections

Milwaukee, WI • On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Job description

Job Title: Principal AI Systems Architect (Contract Engagement)
Role Overview
We are seeking a Principal AI Systems Architect for a focused, time-boxed engagement to define the foundational AI architecture for our core product platform. You will embed directly within our engineering team to design, validate, and document the architectural assets and deployment playbooks necessary to transition our current infrastructure into an autonomous, AI-native environment.
This is a high-autonomy role for a seasoned AI leader who thrives on "blank slate" architectural design and wants to leave a lasting, high-impact blueprint for an engineering team to execute against. You will not be an outside consultant; you will be a full team member, driving the vision for cloud-to-edge AI deployment and defining how we operationalize GenAI at production scale.
Key Responsibilities
Architectural Leadership
AI Reference Architecture: Develop and validate a production-grade AI reference architecture that spans data ingestion, inference, and monitoring across distributed environments.
Playbook Engineering: Produce "immediately usable" deployment playbooks, decision records, and technical artifacts that provide clear, durable guidance for our engineers.
System Design: Architect solutions for edge-to-cloud execution, balancing latency, cost, and resiliency. Define the standards for time-series data handling, event-driven integration, and API patterns.
GenAI & MLOps Governance
GenAI Orchestration: Design production-scale GenAI applications utilizing agentic architectures, multi-agent orchestration, and complex tool-calling patterns.
MLOps/Observability: Establish robust MLOps foundations, including model versioning, drift detection, observability, and cost-optimization strategies (routing, caching, and model selection).
RAG & Retrieval: Architect production-scale RAG (Retrieval-Augmented Generation) pipelines, vector database strategies, and embedding models that ensure high-performance, accurate retrieval.
Qualifications & Requirements
Minimum Qualifications
Experience Baseline: 10+ years of software/systems engineering; 6+ years specifically focused on AI/ML in production.
Systems Architecture: Demonstrated success in designing end-to-end AI systems-from data ingestion through monitoring-at scale.
GenAI Proficiency: Expert knowledge of production GenAI (LLM providers, vector databases, and observability tools like LangSmith/LangFuse).
Communication: Ability to produce clear, durable technical artifacts (design records, architectural diagrams) that allow a team to execute a complex vision autonomously.
Collaboration: Experience working in an "embedded team" model; comfortable facilitating design workshops and providing direct technical feedback.
Preferred Attributes
Experience operationalizing AI in highly technical or regulated environments (e.g., critical infrastructure, industrial automation, or complex hardware-interfaced systems).
Proficiency in containerization, CI/CD, and instrumenting AI systems in production.
Experience implementing AI safety, content filtering, and governance guardrails.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
Location:
Ontario, CA