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Generative Ai Developer Jobs in Pennsylvania (NOW HIRING)

CEI

Presales AI Engineer

Pittsburgh, PA

Strong background in AI / Machine Learning / Generative AI * Experience in data engineering or software development * Hands-on experience with Python, APIs, and modern development frameworks

campus4tech

Python Developer (AI/ML)_ Malvern, PA

Malvern, PA · On-site

$49.25 - $68/hr

Candidate must be eligible to work on W2 or C2C Looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the ...

SID Global Solutions

AI Lead Engineer

Exton, PA · On-site

$98K - $130K/yr

Exton, PA Onsite Employment Type: Full-Time We are seeking a hands-on AI Lead Developer to architect, build, and deploy enterprise-scale Agentic AI, Generative AI, and Multi-Agent Solutions . This ...

TekShapers

SR. AI Engineer with Snowflake

Oaks, PA · On-site

$106K - $146K/yr

Role : Sr. AI Engineer with Snowflake Location : Oaks, PA Type : Long Term Contract Experience ... Preferred Qualifications Experience with Generative AI, LLMs, RAG, Knowledge Graphs, relationship ...

URBN

URBN Senior Data Scientist

Philadelphia, PA · On-site

Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions. * Lead the technical ...

URBN

URBN Senior Data Scientist

Philadelphia, PA

Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions. * Lead the technical ...

URBN

URBN Data Scientist

Philadelphia, PA

Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions. * Lead the technical ...

New

URBN

URBN Data Scientist

Philadelphia, PA · On-site

Collaborate with cross-functional teams including Creative, Product Management, and Engineering to translate brand and business needs into scalable generative AI solutions. * Lead the technical ...

New

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site

We are looking for an experienced engineer to join our mission of integrating generative AI solutions with creative tools and production workflows. In this role, you will own the engineering side of ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site +1

We are looking for an experienced engineer to join our mission of integrating generative AI solutions with creative tools and production workflows. In this role, you will own the engineering side of ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Pennsylvania

Generative Ai Developer information

See Pennsylvania salary details

$19

$45

$101

How much do generative ai developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for generative ai developer in Pennsylvania is $45.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.61 and $54.95 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Pennsylvania? For Generative Ai Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Pennsylvania look for? The top searched job categories for Generative Ai Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Generative Ai Developer jobs? Cities in Pennsylvania with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $94,426 per year, or $45.4 per hour.

Consultative Offerings - Analyst - Data & AI Solutions Engineering

Deloitte

Philadelphia, PA • On-site

Other

Re-posted 20 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

Recruiting for this role ends on 08/07/2026.


Work You'll Do

As a Data & AI Solutions Engineering Analyst, you won't just write code or build dashboards-you'll solve some of the most pressing business and societal challenges of today using data, intelligence, and creativity. We're looking for individuals who think critically, act boldly, and are ready to take ownership in fast-moving environments.

You'll work at the intersection of AI engineering, data infrastructure, and forward deployment, contributing to client solutions that go beyond analysis and into activation, building data-driven solutions with speed, scale, and substance. You won't stop at insights - you'll operationalize intelligence through platforms, automation, and integrated deployment. From designing agentic workflows that automate decision-making to building pipelines that fuel generative AI models, you'll be empowered to think like an entrepreneur and deliver like an engineer.
  • Build agentic workflows powered by AI that act autonomously with human oversight-helping clients automate, analyze, and adapt.
  • Design and deploy generative-AI solutions, such as copilots, assistants, and intelligent content generation tools using large language models (LLMs).
  • Serve as a Forward Deployed Engineer: embed with client teams to understand real-world challenges, co-create tailored AI solutions, and ensure production-grade implementation.
  • Shape strategy and execution: You'll do more than model-you'll help clients transform how they operate with AI embedded in their core workflows.
  • Translate business needs into technical architectures using cloud platforms, APIs, ML models, and modern DevOps tooling.
Key Responsibilities:
  • Innovation and Critical Thinking
  • Apply structured problem-solving and systems thinking to navigate ambiguity and uncover impactful insights.
  • Challenge assumptions, propose new solutions, and take initiative in designing scalable AI/analytics systems.
  • Generative AI& Applied Intelligence
  • Develop and fine-tune generative AI models (e.g., LLMs, diffusion models) for use cases like summarization, reasoning, content generation, and conversational agents.
  • Design prompt engineering workflows and retrieval-augmented generation (RAG) pipelines to support real-time decisioning and contextual understanding.
  • Implement monitoring, evaluation, and governance frameworks for AI/ML models in production.
  • Data Engineering & Infrastructure
  • Build and optimize robust data pipelines using tools like SQL, Python, Apache Spark, Airflow, and cloud-native services.
  • Design data architectures that support scale, real-time insights, and cross-functional AI workloads.
  • Implement ELT/ETL processes that ensure data quality, lineage, and observability.
  • Forward Deploy Engineering
  • Operate in agentic client environments, embedding directly with client teams to rapidly prototype, iterate, and deploy solutions.
  • Translate business challenges into technical specifications and lead solution delivery from concept to production.
  • Interface directly with business and engineering stakeholders, driving impact in highly visible engagements.
  • Collaboration & Communication
  • Communicate complex technical topics clearly to non-technical stakeholders through compelling storytelling and visualization.
  • Mentor peers and clients on analytics best practices and AI solution adoption, promoting a data-first culture.
  • Contribute to internal IP, toolkits, and accelerators that help scale AI and data capabilities across industries.
Regardless of project type your work may include:

  • Strong understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint, supporting effective data management and presentation
  • Proficiency in scripting languages and data visualization platforms, with the ability to extract, transform, merge, and analyze data sets for actionable business insights
  • Solid grasp of the data lifecycle, analytics concepts, and the solutions development process, paired with strong problem-solving and critical thinking skills to drive innovation and operational improvements
  • Excellent verbal and written communication skills, along with the ability to work independently, manage multiple projects, and collaborate effectively with Deloitte teams and client stakeholders
  • Willingness and ability to learn and implement new concepts, frameworks, and emerging technologies, demonstrating a commitment to ongoing personal and professional development

What Makes You Stand Out
  • Agentic AI thinking: You're not just building models-you're building AI-powered systems that observe, decide, and act with autonomy and alignment.
  • Data engineering fluency: You understand that robust, scalable data pipelines and architectures are critical to building performant AI.
  • Entrepreneurial energy: You bring initiative, speed, and creativity-crafting MVPs, iterating fast, and thinking like a product owner.
  • Forward deployed presence: You thrive in real-time collaboration with client stakeholders, bringing technical ideas to life in their environment.
  • Critical and systems thinking: You see the big picture, reason through tradeoffs, and architect holistic solutions.


The Team



Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.



Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Computer Science, Data Science, Statistics, Applied Math, Data Analytics, Management Information Systems, Economics, Finance, Business Analytics, Mathematics, Engineering, or a related field, with relevant analytics or data management coursework preferred
  • Strong academic track record (minimum cumulative GPA of 3.0)
  • Experience or coursework in data processing and analysis tools (e.g., SQL, Python, R, Power BI, Informatica), and familiarity with analytics, data visualization, or big data platforms (e.g., Tableau, Hadoop, Spark, AWS, Azure, Google Cloud)
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date


Preferred Qualifications

  • Cumulative GPA of 3.2
  • Relevant professional experience, such as internships or part-time roles in analytics, data science, or related fields
  • Hands-on experience with LLMs, vector databases, or generative AI APIs (e.g., OpenAI, Claude, Cohere).
  • Knowledge of MLOps, CI/CD, and model deployment strategies.
  • Internship or project experience in analytics, software engineering, or AI.
  • Demonstrated leadership in campus orgs, startups, open-source contributions, or volunteer initiatives.
  • Familiarity with a range of analytics, programming, and cloud tools (e.g., SQL, Python, R, Java, Tableau, Power BI, Hadoop, Spark, AWS, Azure, Google Cloud, machine learning frameworks such as TensorFlow or PyTorch)

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $100,000.


Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

Recruiting for this role ends on 08/07/2026.


Work You'll Do

As a Data & AI Solutions Engineering Analyst, you won't just write code or build dashboards-you'll solve some of the most pressing business and societal challenges of today using data, intelligence, and creativity. We're looking for individuals who think critically, act boldly, and are ready to take ownership in fast-moving environments.

You'll work at the intersection of AI engineering, data infrastructure, and forward deployment, contributing to client solutions that go beyond analysis and into activation, building data-driven solutions with speed, scale, and substance. You won't stop at insights - you'll operationalize intelligence through platforms, automation, and integrated deployment. From designing agentic workflows that automate decision-making to building pipelines that fuel generative AI models, you'll be empowered to think like an entrepreneur and deliver like an engineer.
  • Build agentic workflows powered by AI that act autonomously with human oversight-helping clients automate, analyze, and adapt.
  • Design and deploy generative-AI solutions, such as copilots, assistants, and intelligent content generation tools using large language models (LLMs).
  • Serve as a Forward Deployed Engineer: embed with client teams to understand real-world challenges, co-create tailored AI solutions, and ensure production-grade implementation.
  • Shape strategy and execution: You'll do more than model-you'll help clients transform how they operate with AI embedded in their core workflows.
  • Translate business needs into technical architectures using cloud platforms, APIs, ML models, and modern DevOps tooling.
Key Responsibilities:
  • Innovation and Critical Thinking
  • Apply structured problem-solving and systems thinking to navigate ambiguity and uncover impactful insights.
  • Challenge assumptions, propose new solutions, and take initiative in designing scalable AI/analytics systems.
  • Generative AI& Applied Intelligence
  • Develop and fine-tune generative AI models (e.g., LLMs, diffusion models) for use cases like summarization, reasoning, content generation, and conversational agents.
  • Design prompt engineering workflows and retrieval-augmented generation (RAG) pipelines to support real-time decisioning and contextual understanding.
  • Implement monitoring, evaluation, and governance frameworks for AI/ML models in production.
  • Data Engineering & Infrastructure
  • Build and optimize robust data pipelines using tools like SQL, Python, Apache Spark, Airflow, and cloud-native services.
  • Design data architectures that support scale, real-time insights, and cross-functional AI workloads.
  • Implement ELT/ETL processes that ensure data quality, lineage, and observability.
  • Forward Deploy Engineering
  • Operate in agentic client environments, embedding directly with client teams to rapidly prototype, iterate, and deploy solutions.
  • Translate business challenges into technical specifications and lead solution delivery from concept to production.
  • Interface directly with business and engineering stakeholders, driving impact in highly visible engagements.
  • Collaboration & Communication
  • Communicate complex technical topics clearly to non-technical stakeholders through compelling storytelling and visualization.
  • Mentor peers and clients on analytics best practices and AI solution adoption, promoting a data-first culture.
  • Contribute to internal IP, toolkits, and accelerators that help scale AI and data capabilities across industries.
Regardless of project type your work may include:

  • Strong understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint, supporting effective data management and presentation
  • Proficiency in...

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