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Generative Ai Associate Jobs in Philadelphia, PA

Gap International

AI/LLM Engineer

Springfield, PA · On-site

... generative AI. * Mentor team members and contribute to a collaborative, high-performance ... GAP INTERNATIONAL ASSOCIATES * Purposeful people at work impacting companies around the world.

JP Morgan Chase

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

The CCB Risk Modeling team is seeking talented professionals with expertise in computer vision, Generative AI, and image generation, with a focus on fraud modeling applications. Our work centers on ...

Gap International

AI/LLM Engineer

Philadelphia, PA · On-site

... generative AI. * Mentor team members and contribute to a collaborative, high-performance ... GAP INTERNATIONAL ASSOCIATES * Purposeful people at work impacting companies around the world.

ASCENSUS

Agentic AI Delivery Leader

Philadelphia, PA · Hybrid

... associate productivity, and operational performance. The Senior Manager establishes the delivery ... generative AI solutions in production; 1+ year delivery agentic AI solutions in production

Accenture

Responsible AI Engineer

Philadelphia, PA · On-site

... If Associate's Degree, must have minimum 6 years work experience) * Minimum of 3 years of ... DeepLearning, Neural Networks, Generative AI * Natural Language Processing, Text Mining, Computer ...

MSD

Assoc. Dir, Regulatory Affairs-CMC

North Wales, PA · On-site

Associate Principal Scientist, Regulatory CMC Digital Innovation Rahway, NJ or West Point, PA Our ... novel generative AI drafting opportunities. * Emerging Tech Advocacy: Keep abreast of rapid ...

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All JobsGenerative Ai Associate JobsGenerative Ai Associate Jobs in Philadelphia, PA

Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for generative ai associate in Philadelphia, PA is $16.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $17.21 per hour, depending on experience, location, and employer.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

What are the most commonly searched types of Generative Ai jobs in Philadelphia, PA?

The most popular types of Generative Ai jobs in Philadelphia, PA are:

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What job categories do people searching Generative Ai Associate jobs in Philadelphia, PA look for?

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What cities near Philadelphia, PA are hiring for Generative Ai Associate jobs?

Cities near Philadelphia, PA with the most Generative Ai Associate job openings:

Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,572 per year, or $17.6 per hour.

Associate Director, Scientific Information

bracco

Monroeville, NJ • Hybrid

Full-time

Re-posted 19 days ago

Job description

Title:                     Associate Director, Scientific Information

Department:      Scientific Information,   Global Medical & Regulatory Affairs

Hybrid:                 Candidates in NJ, PA, NY within 50 miles to the office

Job Purpose

The position holder is responsible for the overall management of the Scientific Information NA ROW department in providing medical and scientific support about Bracco products to external and internal customers from all countries outside of Europe.   

Main Responsibilities, Activities, Duties, and Tasks

  • Manage the receiving and responding to scientific/medical inquiries process for Scientific Information NA Rest of the World (SI NA ROW)
  • Preparing and reviewing customer responses
  • Review and close Parent Record for Product Quality Complaints
  • Play an instrumental role in the creating of the innovative AI systems
  • Review and updating Frequently Asked Questions (FAQs)
  • Submitting customer responses and FAQs for approval as needed
  • Evaluating annual performance and developing training plans for direct reports
  • Managing and tracking KPIs for Scientific Information NA activities
  • Managing outside vendors and contractors
  • Managing Scientific Information budget
  • Providing the Scientific Information North America (SI NA) monthly and quarterly status reports
  • Maintains compliance with local and global policies and regulations

Supervisory Responsibilities

  • Ensure that all SI NA staff are aligned with the goals of the department
  • Ensure staff are aligned with department processes and objectives
  • Manage and assess performance and participate in defining annual performance objectives
  • Manage AI systems and infrastructure to improve operational efficiency and customer experience.
  • Develop training plans for direct reports
  • Problem-solving by managing innovative AI products.
  • Providing input to the Dept Head, for Scientific Information budget development
  • Determining resource allocation
  • Prepare and update SI NA local and Global Standard Operating Procedures (SOPs)
  • Collaborate with Scientific Information Europe (SI EU) to share information and to streamline processes 
  • Updating and maintaining medical literature
  • Interact with local foreign Bracco affiliates for medical inquiry procedures

Education

  • The position requires an advanced degree with certification as a Pharmacist, Nurse or Radiologic Technologist. A four-year college degree in health sciences with pharmaceutical experience is acceptable. Master’s degree is preferrable.

Professional Experience, Knowledge & Technical Skills

  • Knowledge of Federal Regulations pertaining to dissemination of medical information and processing product complaints.
  • Working knowledge of computer technology associated with database entry and word processing
  • Experience with AI and learning concepts.
  • Assist in the development of Generative AI models with knowledge of scientific information engagement
  • Good working knowledge of computer technology in general.
  • Excellent oral and writing communication skills.
  • Working knowledge of regulations and definitions pertaining to adverse event regulations Project management skills
  • Computer skills

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