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Remote Ai Implementation Jobs in Philadelphia, PA

A.I. Manager

PA ยท On-site +1

... and then lead the implementation of those solutions from concept to production. Key ... Build and lead a remote AI team, including recruiting, mentoring, and performance management.

... then lead the implementation of those solutions from concept to production. _____ Key ... Build and lead a remote AI team, including recruiting, mentoring, and performance management.

GPU Programmer - Remote

Philadelphia, PA ยท Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... AI/LLM applications. * Analyze performance bottlenecks and implement optimization strategies.

Software AI Engineer2 Experience: 6 - 8 yrs Location: 1 - US Bay Area 1 - US Remote Key Responsibilities: Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ...

Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect ... Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted ...

AI Adoption Specialist

Wilmington, DE ยท On-site +1

$35 - $45/hr

Support the implementation of AI use cases using approved enterprise AI tools. Contribute to the ... remote candidates will be considered. This role requires access to U.S. export-controlled ...

... and implement solutions that make them more effective. This role is centered on agentic coding ... AI Solutions Development: * Develop LLM-based applications including document processing ...

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Remote Ai Implementation information

See Philadelphia, PA salary details

$27

$51

$81

How much do remote ai implementation jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote ai implementation in Philadelphia, PA is $51.87, according to ZipRecruiter salary data. Most workers in this role earn between $38.80 and $61.63 per hour, depending on experience, location, and employer.

What is a remote AI implementation specialist?

A Remote AI Implementation Specialist is a professional who helps organizations deploy and integrate artificial intelligence (AI) solutions without being physically present on-site. They work remotely to assess business needs, customize AI models, oversee technical setups, and ensure seamless integration with existing systems. These specialists often collaborate with cross-functional teams, provide training, and troubleshoot issues to ensure AI tools deliver maximum value. Their expertise enables companies to adopt advanced AI technologies efficiently, regardless of geographic location.

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

To thrive as a Remote AI Implementation Specialist, you need a strong background in computer science, data analysis, and AI/machine learning concepts, often supported by a relevant degree or certification. Proficiency with programming languages (such as Python or R), cloud platforms (like AWS or Azure), and AI frameworks (such as TensorFlow or PyTorch) is essential. Exceptional problem-solving, communication, and project management skills help you collaborate effectively and translate business needs into technical solutions. These skills ensure successful deployment of AI solutions that align with organizational goals while facilitating smooth remote teamwork and client interactions.

What are some common challenges faced when implementing AI solutions remotely, and how can they be addressed?

One common challenge in remote AI implementation is maintaining clear communication and alignment between distributed teams, especially when dealing with complex data and evolving project requirements. To address this, regular virtual meetings, detailed documentation, and collaborative project management tools are essential. Additionally, ensuring secure and efficient access to data and resources can be tricky, so robust cybersecurity protocols and cloud-based platforms are often used. Open feedback channels and cross-functional collaboration also help in quickly resolving technical issues and adapting solutions to client needs.

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

AspectRemote Ai ImplementationData Scientist
Required CredentialsAI certifications, programming skills, knowledge of ML frameworksStatistics, programming, data analysis, often a degree in related field
Work EnvironmentCollaborative teams, project-based, often client-facingResearch-focused, data analysis, model development
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, academia
Search & Comparison IntentImplementing AI solutions remotelyAnalyzing data, building models

Remote Ai Implementation involves deploying AI solutions across various industries, focusing on technical deployment and integration. Data Scientists analyze data and develop models, often in research or analytical roles. While both roles require programming and AI knowledge, Remote Ai Implementation emphasizes deployment skills, whereas Data Scientists focus on data analysis and model creation.

What job categories do people searching Remote Ai Implementation jobs in Philadelphia, PA look for?

The top searched job categories for Remote Ai Implementation jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Remote Ai Implementation jobs?

Cities near Philadelphia, PA with the most Remote Ai Implementation job openings:

A.I. Manager

GATE 1 LTD

PA โ€ข On-site, Remote

Other

Re-posted 10 days ago


Job description

About the Company
We are a forward-thinking company committed to leveraging innovation to drive business growth and operational excellence. As part of our continued investment in technology, we are building an in-house AI department to lead the design, development, and deployment of AI-driven solutions across key areas of our business.
Why Join Us
  • Be a founding leader in shaping our AI capabilities and strategy.
  • Work remotely with flexibility and autonomy.
  • Join a collaborative, innovative, and mission-driven team.
  • Competitive compensation, benefits, and growth opportunities.

Job Summary
We are seeking an experienced and visionary AI Manager to lead the formation and development of our in-house AI team. This is a foundational leadership role responsible for designing the AI strategy, building a high-performing team, and overseeing the delivery of impactful AI solutions that align with our business objectives. You will work cross-functionally with business stakeholders, engineers, analysts, and product managers to identify opportunities where AI can create value, and then lead the implementation of those solutions from concept to production.
Key Responsibilities
Strategy & Leadership
  • Define and execute the AI roadmap in alignment with business goals.
  • Serve as the company's internal expert on AI trends, opportunities, and risks.
  • Build and lead a remote AI team, including recruiting, mentoring, and performance management.
  • Collaborate with leadership to identify high-impact AI use cases across departments.

Project Management & Delivery
  • Oversee the development and deployment of AI models and tools.
  • Ensure AI projects are delivered on time, within scope, and meet quality standards.
  • Drive adoption of best practices in data science, MLOps, and model governance.

Technical Oversight
  • Guide model development, including machine learning, deep learning, NLP, and generative AI, depending on use cases.
  • Ensure scalable and maintainable AI systems and pipelines.
  • Partner with data engineering teams to ensure data quality, availability, and security.

Cross-Functional Collaboration
  • Communicate complex AI concepts clearly to non-technical stakeholders.
  • Translate business problems into data-driven solutions.
  • Advocate for ethical AI practices and responsible data use across the organization.

Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in applied AI, machine learning, or data science roles.
  • 2+ years of experience in a leadership or managerial capacity.
  • Proven experience delivering AI/ML solutions in a business environment.
  • Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
  • Experience working in agile, cross-functional teams.

Preferred
  • Experience in building and scaling internal AI functions from the ground up.
  • Familiarity with LLMs, generative AI, and prompt engineering.
  • Exposure to AI use cases across multiple domains (e.g., marketing, operations, customer support).
  • Excellent communication, presentation, and stakeholder management skills.