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Generative Ai Developer Jobs in Pittsburgh, PA (NOW HIRING)

AI Engineers

Pittsburgh, PA · On-site

$94K - $129K/yr

Job Summary : eTeam is seeking a highly skilled AI Engineer with hands-on experience in Generative AI technologies and advanced engineering methodologies. The role involves designing, developing, and ...

Hands-on experience with OCI Generative AI, prompt engineering, embeddings, vector search, retrieval-augmented generation, semantic search, and enterprise GenAI solution development. * Strong ...

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

AI or ML Engineer

Saxonburg, PA · On-site

$110 - $170/hr

Paid time off About the Role Triunity Software is looking for a talented and driven AI Engineer to ... Experience with NLP, computer vision, or generative AI is a strong plus * Familiarity with cloud ...

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

... Engineer local to the Aires Pittsburgh, PA office. This exciting opportunity is in a high growth ... Develops and implements machine learning and generative AI models and algorithms to solve complex ...

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

... Engineer local to the Aires Pittsburgh, PA office. This exciting opportunity is in a high growth ... Develops and implements machine learning and generative AI models and algorithms to solve complex ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for generative ai developer in Pittsburgh, PA is $43.97, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $53.22 per hour, depending on experience, location, and employer.

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 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 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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Pittsburgh, PA?

For Generative Ai Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Pittsburgh, PA look for?

The top searched job categories for Generative Ai Developer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Generative Ai Developer jobs?

Cities near Pittsburgh, PA with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $91,448 per year, or $44 per hour.

Software Engineer- AI Agents / Generative AI

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

88th of 171 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Software Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA or Cleveland, OH.
As a Software Engineer, you will be responsible for supporting PNC's Data & Analytics (DnA) organization by designing, developing, and deploying AI-powered applications and agentic systems that leverage large language models (LLMs), orchestration frameworks, and enterprise data platforms. You will work closely with data scientists, data engineers, and business stakeholders to translate business needs into scalable AI solutions.
In addition to development responsibilities, you will monitor production AI solutions, analyze performance and telemetry metrics, identify optimization opportunities, and implement enhancements to improve reliability, efficiency, and business outcomes.
Key Responsibilities:
Design, build, test, and deploy AI agents and GenAI-driven applications.
Develop agentic workflows utilizing modern orchestration frameworks such as LangGraph and LangChain.
Build integrations with internal and external systems through REST APIs and other service interfaces.
Implement and support Model Context Protocol (MCP) based solutions and integrations.
Develop AI-powered automation solutions for data and analytics use cases.
Collaborate with data scientists to operationalize AI models and measure business impact.
Monitor deployed AI agents using observability and telemetry tools to evaluate performance, reliability, and usage patterns.
Troubleshoot, optimize, and maintain AI applications in production environments.
Partner with data engineers and analytics teams to automate and enhance data workflows.
Contribute to best practices for AI engineering, model governance, scalability, and software development.
Key Qualifications & Experience:
Hands-on experience developing applications in Python.
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Experience with agent orchestration frameworks such as LangGraph and/or LangChain.
Experience developing and consuming REST APIs.
Knowledge of Model Context Protocol (MCP) concepts and AI tool integrations.
Experience deploying and supporting production software solutions.
Strong problem-solving skills and ability to work in a collaborative environment.
Experience building autonomous or agentic AI systems.
Experience with PySpark and/or data engineering pipelines.
Familiarity with cloud-native development and AI services.
Experience with observability, monitoring, telemetry, and operational analytics.
Experience working in large-scale enterprise environments.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Develops, tests and implements software solutions.
  • Designs software solutions to address business needs.
  • Writes code, tests and deploys software.
  • Prepares technical and procedural documentation required for software.
  • Maintains and debugs software.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsApplication Development, Business Management, Customer Solutions, Design, Generative AI Agents, Group Problem Solving, LangChain (FrameWork), LangGraph, Process Improvements, Python (Programming Language), Release Management, Software Solutions, User Experience (UX) DesignCompetenciesApplication Design, Architecture, Application Development Tools, Application Maintenance, Application Testing, Packaged Application Integration, System Development Life Cycle, Technical Troubleshooting, Technical Writing/DocumentationWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $137,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 08/17/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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