AI Solutions Engineer Jobs in Pennsylvania
AI Solutions Engineer jobs in Pennsylvania are in strong demand, with hiring concentrated in enterprise technology, financial services, healthcare IT, and defense contracting across experience levels from entry-level associate to senior architect. Philadelphia, Pittsburgh, and the Lehigh Valley are the busiest hiring metros, anchored by long-established employers like Comcast, UPMC, and Lockheed Martin. The most sought-after specializations include generative AI integration, MLOps pipeline development, and enterprise LLM deployment. Find a role that fits below and apply directly.
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About Anthony & Sylvan
Looking to build something that lasts—literally? At Anthony & Sylvan Pools, your skills create real impact. For nearly 80 years, we’ve been turning backyard dreams into reality as the nation’s largest and most recognizable name in swimming pools. Founded in 1946, we design and build quality inground pools across the U.S., while also offering renovations, modernizations, and ongoing maintenance services. We’re growing fast and seeking candidates who take pride in craftsmanship, value teamwork and safety, and are ready to grow with us. Learn more at anthonysylvan.com.
About the Role
Anthony & Sylvan Pools is seeking an AI Solutions Developer to join our technology team and help build the next generation of AI-enabled business solutions.
This role is designed for an early-career technologist with strong programming skills and hands-on experience building with artificial intelligence. We are particularly interested in recent graduates who have developed meaningful technical experience through internships, co-ops, research, capstone projects, or substantial independent projects.
General Summary of Position
This is not a traditional entry-level development role focused on maintaining existing applications. You will have the opportunity to work directly on real business problems and build AI-powered applications, agents, automations, and integrations that are put into production and used across the company.
The ideal candidate enjoys experimenting with emerging technology, learns quickly, and is equally interested in understanding what problem should be solved as they are in writing the code to solve it.
Essential Functions and Responsibilities
- Design, develop, and implement AI-powered applications, agents, workflows, and intelligent automations that address real business needs and improve customer experience, employee productivity, and operational efficiency.
- Partner with business and technology teams to understand processes and requirements, identify opportunities for AI and automation, rapidly prototype potential solutions, and develop successful concepts into scalable, production-ready applications.
- Develop AI-enabled applications using Python and other modern development technologies, leveraging large language models (LLMs), generative AI platforms, APIs, AI development frameworks, and structured and unstructured data.
- Build agentic and intelligent workflows using techniques such as prompt engineering, retrieval-augmented generation (RAG), tool/function calling, and AI orchestration to enable solutions that can reason, take actions, interact with systems, and automate multi-step business processes.
- Integrate AI applications with enterprise systems and data sources including CRM, ERP, data and communication platforms, and other business applications by building and consuming REST APIs, web services, and related integrations.
- Support the full solution development lifecycle including solution design, testing, deployment, monitoring, evaluation, and continuous improvement, with a focus on improving AI output reliability, accuracy, performance, scalability, and user experience.
- Explore emerging AI technologies and development approaches to identify practical business applications, while maintaining clear technical documentation, sharing knowledge with the technology team, and contributing to the continuous improvement of AI development practices.
- Other duties as assigned
QUALIFICATIONS – Knowledge, Skills & Abilities
Education
Bachelor’s degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Information Sciences & Technology, Computer Engineering, or a related technical discipline
Licenses/Certifications
None required
Years of Experience
Demonstrated hands-on experience developing AI, machine learning, or software solutions. Relevant experience may include professional roles, internships, co-ops, research, capstone projects, freelance development, open-source contributions, hackathons, or substantial independent projects. Demonstrated capability and quality of work are valued over a specific number of years of experience.
Required Skills & Abilities
Strong programming skills, particularly in Python; experience with JavaScript, TypeScript, C#, or similar languages is valuable
Hands-on experience developing AI or machine learning solutions and working with modern generative AI models and APIs
Strong understanding of software development fundamentals, data structures, APIs, databases, and application architecture
Familiarity with SQL and structured data
Strong analytical and problem-solving skills with the ability to quickly learn and apply new technologies
Ability to communicate technical concepts effectively and collaborate with both technical and non-technical stakeholders
Curious, experimental mindset with a willingness to iterate, test new approaches, and challenge traditional solutions
Experience with one or more of the following preferred: LLM platforms (OpenAI, Azure OpenAI, Anthropic, Google Gemini); agentic AI and multi-step workflows; RAG, embeddings, vector databases, or semantic search; AI evaluation, guardrails, observability, or responsible AI practices; API development and systems integration
Experience with cloud and development technologies such as Microsoft Azure, Microsoft Fabric, GitHub, GitHub Copilot, data engineering, or analytics platforms preferred
Exposure to CRM, ERP, contact center, workflow automation, or other enterprise business applications preferred
Demonstrated experience building and deploying complete applications or technical solutions beyond basic classroom assignments preferred
Travel Requirements
N/A or As needed
Other Requirements
Candidates are encouraged to provide examples of technical work, such as a GitHub repository, portfolio, capstone project, AI agent, application, research project, hackathon submission, or other relevant project.
PHYSICAL REQUIREMENTS
- Primarily sedentary work performed in an office environment
- Ability to communicate promptly and clearly via phone and computer
ACKNOWLEDGEMENT
Position duties and expectations change over time. This job description is not intended to be an all-inclusive, exclusive or exhaustive list of the job functions that an employee in this position may be asked to perform from time to time. The employee may perform other related duties as assigned to meet the ongoing needs of the Company. If there is ever a time that you are unsure what is expected of you, you are expected to meet with your manager and ask questions. If you are unsure how to perform a certain task, ask your manager before performing.
See All 22 AI Solutions Engineer Jobs in Pennsylvania
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Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Education
- Banking & Financial Services
- Food & Beverage
- Healthcare & Medical Services
- Consulting & Professional Services
What Pennsylvania Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, engineering, or a closely related technical field
- Hands-on experience deploying machine learning models or large language models in production environments
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud for AI workload deployment
- Strong programming skills in Python and familiarity with AI frameworks like LangChain or PyTorch
- Ability to translate complex AI capabilities into solutions for non-technical business stakeholders
- Experience integrating AI APIs and third-party services into existing enterprise software architectures
AI Solutions Engineer Jobs in Pennsylvania: Frequently Asked Questions
How do you become a ai solutions engineer in Pennsylvania?
The path to an ai solutions engineer role in Pennsylvania starts with a bachelor's degree in computer science, data science, or software engineering, though a master's degree strengthens competitiveness for senior positions. Pennsylvania does not require a state-issued license for this role. Most employers expect demonstrated experience with AI frameworks, cloud platforms, and at least one completed AI deployment project, whether from academic work, an internship, or an open-source contribution.
How much do AI solutions engineers make in Pennsylvania?
AI solutions engineers in Pennsylvania earn a median of about $126,550 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,750 for the lowest 10% to over $178,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in Pennsylvania?
Employers hiring ai solutions engineers in Pennsylvania right now include Penn State University, Northwest Bank, and Deloitte, based on current listings on Migrate Mate as of November 2026. Pennsylvania's concentration of large health systems, defense contractors, and financial technology firms means demand for this role stays broad across multiple industries statewide.
Which Pennsylvania cities have the most ai solutions engineer jobs?
Pittsburgh, University Park, and Harrisburg have the most ai solutions engineer openings in Pennsylvania. Philadelphia leads because of its dense concentration of financial services firms, health systems, and technology consultancies, while Pittsburgh draws heavily from its university-affiliated AI research ecosystem and growing autonomous systems sector, and the Lehigh Valley reflects demand from regional enterprise and manufacturing companies adopting AI solutions.
Are there remote ai solutions engineer jobs in Pennsylvania?
Yes, and more than most fields. About 53% of ai solutions engineer openings tied to Pennsylvania are remote or hybrid as of November 2026, reflecting how much of the work involves software, model configuration, and stakeholder communication rather than on-site hardware. The portions of the role most likely to remain fully remote are prompt engineering, API integration, and technical pre-sales support.
How can I get hired as a ai solutions engineer in Pennsylvania with little or no experience?
The most realistic entry path is through a software engineering or data analyst role at a Pennsylvania employer that is actively building out its AI practice, such as a regional health system like Penn Medicine or a technology consultancy in the Philadelphia market. Building a portfolio of small end-to-end AI projects using publicly available models and contributing to open-source tooling demonstrates practical capability. Associate solutions engineer and AI technical support roles are common stepping stones that do not require prior AI deployment experience.
Where can I find and apply to ai solutions engineer jobs in Pennsylvania?
You can find and apply to ai solutions engineer jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings updated regularly. Find roles that fit your experience and apply directly to the employer through the listing.
See All 22 AI Solutions Engineer Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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