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Remote Ai Developer Jobs in Pennsylvania (NOW HIRING)

They collaborate with AI engineers and data scientists to validate feasibility, data availability ... Strong stakeholder communication skills across business and technical audiences #LI-TS1 #remote ...

We engineer purpose-built AI workflows and agents for our clients\' highest-value problems - from ... This is a hybrid role in Philadelphia, but we are open to remote work for the right candidate. Who ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Apply sound software engineering and design patterns when integrating AI-assisted capabilities ...

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Showing results 21-40

Remote Ai Developer information

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 Pennsylvania? The most popular types of Ai Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Ai Developer jobs? Cities in Pennsylvania with the most Remote Ai Developer job openings:
Infographic showing various Remote Ai Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Product Manager/Owner AI

Sedgwick

North East, PA • On-site, Remote

Full-time

Re-posted 2 days ago


Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 321 frontline employees who took The Breakroom Quiz

209th of 304 rated insurance


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Product Manager/Owner AI

End-to-End AI Product Owner - Line of Business or Platform Aligned

Role Overview

The Product Manager / Product Owner - AI is responsible for end-to-end ownership of AI initiatives for a specific Line of Business or claims domain. This role partners directly with business stakeholders to define AI-enabled improvements to claims operations, cost control, and client service performance, and translates those objectives into structured, sprint-ready execution plans.

This role combines strategic initiative shaping with hands-on backlog ownership and daily collaboration with AI engineers and data scientists. It ensures that AI development is grounded in real operational pain points and that delivered solutions are practical, compliant, and measurable in impact.

Key Responsibilities

The Product Manager/Owner works directly with claims leadership, operational managers, and Business Transformation Leads to understand workflow bottlenecks, leakage drivers, customer friction points, regulatory risks, and client performance commitments. They translate these insights into clearly defined AI use cases with measurable operational objectives such as reduced claim cycle time, improved reserving accuracy, enhanced fraud detection rates, or improved document processing speed.

They decompose initiatives into epics and features that reflect real-world operational workflows, ensuring requirements account for system integrations, adjuster behavior, client reporting requirements, and compliance obligations. They collaborate with AI engineers and data scientists to validate feasibility, data availability, model explainability considerations, and downstream operational impact.

They own and continuously refine the product backlog, ensuring it remains prioritized according to business value and aligned with enterprise AI portfolio constraints. They prepare stories with detailed acceptance criteria that reflect actual claims scenarios and operational realities, not abstract technical requirements.

During sprint execution, they remain closely engaged with the delivery team, clarifying nuances of claims processes, regulatory rules, and client-specific variations. They validate that developed models, automation features, or decision-support tools function appropriately within the claims workflow and align with user expectations.

They communicate progress, risks, and trade-offs to LOB stakeholders transparently, ensuring expectations are managed around sequencing and delivery timelines. Following deployment, they monitor adoption, operational metrics, and user feedback, adjusting backlog priorities based on real-world performance and measurable impact.

This role requires balancing operational urgency with disciplined backlog governance, particularly in environments where client escalations or regulatory deadlines may introduce pressure for rapid change.

Qualifications

  • 6-10 years of experience in Product Management or Business-Technology roles within insurance, claims, or managed services
  • Strong understanding of claims operations, adjuster workflows, or insurance servicing models
  • Experience working in Agile delivery environments
  • Ability to translate operational pain points into structured technical requirements
  • Strong stakeholder communication skills across business and technical audiences

#LI-TS1 #remote

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

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