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Remote Ai Developer Jobs in Wisconsin (NOW HIRING)

Senior Director - Client Data Solutions

Wauwatosa, WI ยท Remote

$103K - $139K/yr

... AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution. Role: Remote - United States Work set up:

Senior Director - Client Data Solutions

Wauwatosa, WI ยท On-site +1

$103K - $139K/yr

... AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution. Role: Remote - United States Work set up:

Remote work is an option for this position on a voluntary basis; however, it is important to note ... Familiarity with AI coding agents like ClaudeCode, Codex, GitHub Copilot Education: Bachelor ...

Showing results 41-60

Remote Ai Developer information

See Wisconsin salary details

$40.4K

$130.6K

$160K

How much do remote ai developer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote ai developer in Wisconsin is $130,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $158,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Ai DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, remote teams focused on AI projectsResearch firms, tech companies, analytics teams, often remote or on-site
Industry UsageAI product development, machine learning applicationsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are some common challenges remote AI developers face when collaborating with distributed teams, and how can they address them?

Remote AI Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication, and maintaining alignment on project goals. To address these issues, it's important to establish regular check-ins, use collaborative tools for code sharing (like GitHub) and documentation (such as Confluence), and actively participate in virtual meetings. Staying proactive about communication and documentation helps ensure smooth collaboration and keeps everyone on the same page, regardless of location.

What are the key skills and qualifications needed to thrive as a remote AI developer?

To thrive as a Remote AI Developer, you need strong programming skills (especially in Python), deep knowledge of machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective remote communication skills set outstanding candidates apart. These competencies ensure you can build robust AI solutions independently, collaborate seamlessly with distributed teams, and adapt to rapid technological advancements.

What is a remote AI developer?

Remote AI Developers are software professionals who design, build, and implement artificial intelligence solutions while working from locations outside of a traditional office, such as their home or a co-working space. They collaborate with teams virtually to develop machine learning models, automate processes, and create intelligent applications. Their responsibilities often include data analysis, training algorithms, and deploying AI models, all conducted using remote communication and project management tools. This role requires strong programming skills, knowledge of AI frameworks, and the ability to work independently.
What are the most commonly searched types of Ai Developer jobs in Wisconsin? The most popular types of Ai Developer jobs in Wisconsin are:
What are popular job titles related to Remote Ai Developer jobs in Wisconsin? For Remote Ai Developer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Ai Developer jobs? Cities in Wisconsin with the most Remote Ai Developer job openings:
Infographic showing various Remote Ai Developer job openings in Wisconsin as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $130,558 per year, or $62.8 per hour.

Senior Director - Client Data Solutions

Cielo

Wauwatosa, WI โ€ข Remote

$103K - $139K/yr

Full-time

Re-posted 19 days ago


Job description

Company Description

Are you ready to accelerate your career? Join Cielo as a Senior Director - Client Data Solutions!  A career at Cielo will give you the opportunity to work with the industryโ€™s smartest people and to take ownership of your success!  

Cielo is a brand that reflects our big idea โ€“ that talent is rising โ€“ and with it our opportunity to rise above. We create careers for ambitious people by moving beyond traditional assumptions of what it means to work in talent acquisition.
Cielo is the world's leading Talent Acquisition Partner. We deliver a better talent experience for everyone through Talent Acquisition, Search, Consulting, and Digital Acceleratorsโ„ข. With our fresh approach โ€“ we design and build comprehensive, proven solutions inspired by technology to find and keep the unique talent that elevates our clients above the competition.

Cielo is an equal opportunity employer and will not discriminate against any applicant for employment because of race, color, religion, sex, national origin, disability, age, genetic information, or any other status protected by state or local law for an individual who falls within the jurisdiction of such law. Applicants who require an accommodation throughout the application and interview process should request this in advance by contacting Cielo Talent Acquisition at talent.acquisition@cielotalent.com

Job Description

The Senior Director - Client Data Solutions is a strategic leadership role responsible for defining and delivering the organizationโ€™s end-to-end client data ecosystem, including client integrations (ATS and external systems), data engineering, and client-facing reporting solutions.

This role ensures seamless, scalable data flow from client environments into internal systems and productized data solutions, owning the design, delivery, and reliability of integrations that enable consistent, high-quality dashboards and reporting experiences. The Senior Director โ€“ Client Data Solutions is accountable for templated, analytics-ready data products that power client reporting, while partnering with Business Intelligence and analytics teams who drive insight generation and ad hoc analysis.

As a senior member of the Client Technology leadership team, this role works closely with Product Management, AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution.

Role: Remote - United States 

Work set up: Monday to Friday - FTE 

Skills: Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration into internal systems then translate into accurate reporting and dashboards? 

Duties and Responsibilities:

  • โ€‹โ€‹โ€‹โ€‹โ€‹Lead, mentor, and scale Data Engineering, Integration Engineering, and Client Reporting teams, providing technical guidance, career development, and performance management.
  • Define and execute the organizationโ€™s data integration and client data strategies, spanning integrations, data platform, and reporting enablement.
  • Establish KPIs to measure data platform performance, reporting adoption, data quality, and business impact.
  • Partner with executive stakeholders across Product, AI Engineering, and Client Services to align data capabilities with business priorities.
  • Contribute to Engineering Leadership governance, including technical standards, architecture, and long-term strategy.
  • Drive technical direction for data architecture, integration patterns, and platform scalability.
  • Oversee the design and delivery of scalable, reliable data integration pipelines and integration workflows across client systems and internal platforms.
  • Establish best practices for data engineering, including testing, deployment, observability, and documentation.
  • Guide implementation of data quality, monitoring, and reliability frameworks.
  • Ensure compliance with data governance, security, and regulatory requirements.
  • Continuously evaluate and evolve the data technology stack to support growth and innovation.
  • Own the strategy and delivery of client-facing data products, including dashboards, reporting layers, and embedded data experiences.
  • Deliver scalable, templated reporting solutions that reduce reliance on custom, one-off reporting.
  • Partner with Client Services and Operations to translate business needs into reusable, analytics-ready data models.
  • Establish and maintain semantic layers, standardized metrics, and governed data definitions.
  • Ensure performance, usability, and consistency of data powering all client reporting experiences.
  • Collaborate with Product Management to embed reporting capabilities into core platform offerings.
  • Partner with Product Management to align data capabilities with product roadmaps and client value propositions.
  • Collaborate with AI Engineering to ensure enterprise data supports AI/ML model development, deployment, and consumption.
  • Work closely with client-facing teams to understand customer needs and deliver scalable, repeatable data solutions.
  • Act as a bridge between technical and business stakeholders to drive alignment and clarity on data initiatives.
  • Champion a data-driven culture across the organization.
  • Oversee planning, prioritization, and execution of data integration and platform initiatives.
  • Manage budgets, vendor relationships, and data-related technology investments.
  • Establish processes for monitoring, troubleshooting, and maintaining production data systems.
  • Drive continuous improvement in scalability, reliability, and efficiency of data operations.
  • Enable faster delivery of reporting capabilities through standardization and reusable data assets.

Supervisory Responsibilities:

The Senior Director - Client Data Solutions will assist with daily activities, provide guidance, conduct performance reviews, and support the professional growth of the Data Engineering, Integration Engineering, and Client Reporting leaders.

Qualifications

Position Requirements

Education:

  • Bachelorโ€™s degree in Computer Science, Information Systems, Data Science, or a related field strongly preferred

Experience:

  • 8+ years of experience in data engineering, data platforms, or integration roles
  • 5+ years of experience leading technical teams, including managing managers
  • Deep experience with modern data architecture, ETL/ELT, and integration frameworks
  • Proven track record of delivering client-facing data solutions or data products at scale
  • Demonstrated ability to align technical solutions with business outcomes
  • Strong understanding of our core tech stack: AWS, Microsoft Azure, Apache Airflow, Docker, Python (Pandas), RDBMS (Snowflake, PostgreSQL), and NoSQL (Redis, DynamoDB)
  • Extensive experience with data modeling, ETL/ELT processes, and database technologies (Snowflake, PostgreSQL, NoSQL)
  • Experience with API design, development, and integration patterns
  • Experience working with AI/ML teams to support data requirements for model development and deployment
  • Track record of successfully delivering complex data integration projects that meet business requirements
  • Experience in talent acquisition technology, HR systems, or related industries preferred

Exposure:

  • Knowledge of data governance, security, and compliance requirements
  • Proficiency in data quality management and monitoring tools
  • Understanding of the full life cycle of project/program execution following established project management methodology
  • Demonstrate expert knowledge of talent acquisition platforms, tools, products, and other complimentary technologies to support these platforms
  • Deep subject matter expertise in a variety of workstreams (change management, risk assessment, compliance, sponsorship modelling, user acceptance testing, end-to-end testing, end user training, communications, resistance management, launch planning, and configuration)
  • Commercially astute
  • Proficient in Word, Excel, PowerPoint, Outlook, Smartsheet, Lucidchart, and other related productivity software