AI Architect Jobs in Pennsylvania
AI Architect jobs in Pennsylvania are actively sought across healthcare IT, financial services, defense contracting, and higher education, with openings at every level from associate AI engineer through principal architect. Philadelphia, Pittsburgh, and the suburban Philadelphia corridor anchor most of the demand, with established employers like Comcast, Highmark Health, and Lockheed Martin maintaining consistent needs for this role. The most in-demand specialties are large language model integration, MLOps platform design, and enterprise AI governance. Find a role that fits below and apply directly.
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About Dunmore International Corp:
Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics. As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions. Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world's largest aircraft manufacturers. Dunmore's mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems.
Summary
The AI & Data Intern will support Dunmore's data infrastructure, machine learning, and artificial intelligence initiatives through hands-on projects focused on data modeling, product classification, and AI-enabled workflow analysis. This role provides exposure to enterprise data engineering, machine learning, MLOps, data quality, and agentic AI concepts within a manufacturing environment.
The intern will collaborate with technical and cross-functional teams to help organize and enrich data, develop and test machine-learning approaches, map potential AI-enabled workflows, and support broader adoption of data and AI capabilities across the organization.
Essential Duties and Responsibilities
- Support data modeling and integration initiatives to improve the structure, quality, usability, and accessibility of enterprise data.
- Develop and evaluate machine-learning approaches for product-family mapping, including relationships between products and associated Bills of Materials (BOMs).
- Assist with data preparation, feature development, model testing, validation, and documentation for machine-learning projects.
- Support development and enrichment of centralized data models by identifying data relationships, inconsistencies, gaps, and data-quality improvement opportunities.
- Collaborate with departments to document business processes and develop agentic workflow maps identifying potential opportunities for AI-enabled process support.
- Assist with controlled testing of AI and agentic workflows, including autonomy gates, validation criteria, human review points, and other safeguards appropriate to the use case.
- Research AI, machine learning, MLOps, and data-engineering methods and summarize findings and potential applications for technical and business stakeholders.
- Document methodologies, experiments, results, limitations, and recommendations to support repeatability and knowledge sharing.
- Communicate project progress, technical findings, and recommendations clearly to technical and non-technical stakeholders.
- Perform AI and data-related work using approved tools, systems, data, and processes and in accordance with applicable Company policies and required oversight.
- Other Duties as needed or required
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skill, and Abilities:
- Strong analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills with the ability to work collaboratively across functions.
- Knowledge of or experience with artificial intelligence, machine learning, data engineering, or related technologies.
- Ability to collect, organize, analyze, and model data to support technical projects and experimentation.
- Exposure to research methods, technical or scientific literature, and experimentation preferred.
Education and Experience
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- Coursework, project experience, or research experience in artificial intelligence, machine learning, data engineering, data modeling, or a related technical area preferred.
Physical Demands - OFFICE / TRAVEL
- Standing/Sitting 30/70%
- Walking/Bending/Stooping 30%
- Lifting Requirements: 15 pounds
- Travel by air, rail, auto (5% of time)
- Work in manufacturing area, QA lab and office areas
Exposures - Odors, Fumes, Noise, Chemicals, Temperature, Vision strain, Moving parts
Dunmore International Corp. is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Dunmore makes hiring decisions based solely on qualifications, merit, business needs at the time.
Compensation: 18.00
About Dunmore International Corp:
Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics. As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions. Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world's largest aircraft manufacturers. Dunmore's mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems.
Summary
The AI & Data Intern will support Dunmore's data infrastructure, machine learning, and artificial intelligence initiatives through hands-on projects focused on data modeling, product classification, and AI-enabled workflow analysis. This role provides exposure to enterprise data engineering, machine learning, MLOps, data quality, and agentic AI concepts within a manufacturing environment.
The intern will collaborate with technical and cross-functional teams to help organize and enrich data, develop and test machine-learning approaches, map potential AI-enabled workflows, and support broader adoption of data and AI capabilities across the organization.
Essential Duties and Responsibilities
- Support data modeling and integration initiatives to improve the structure, quality, usability, and accessibility of enterprise data.
- Develop and evaluate machine-learning approaches for product-family mapping, including relationships between products and associated Bills of Materials (BOMs).
- Assist with data preparation, feature development, model testing, validation, and documentation for machine-learning projects.
- Support development and enrichment of centralized data models by identifying data relationships, inconsistencies, gaps, and data-quality improvement opportunities.
- Collaborate with departments to document business processes and develop agentic workflow maps identifying potential opportunities for AI-enabled process support.
- Assist with controlled testing of AI and agentic workflows, including autonomy gates, validation criteria, human review points, and other safeguards appropriate to the use case.
- Research AI, machine learning, MLOps, and data-engineering methods and summarize findings and potential applications for technical and business stakeholders.
- Document methodologies, experiments, results, limitations, and recommendations to support repeatability and knowledge sharing.
- Communicate project progress, technical findings, and recommendations clearly to technical and non-technical stakeholders.
- Perform AI and data-related work using approved tools, systems, data, and processes and in accordance with applicable Company policies and required oversight.
- Other Duties as needed or required
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Skill, and Abilities:
- Strong analytical, critical thinking, and problem-solving skills.
- Effective written and verbal communication skills with the ability to work collaboratively across functions.
- Knowledge of or experience with artificial intelligence, machine learning, data engineering, or related technologies.
- Ability to collect, organize, analyze, and model data to support technical projects and experimentation.
- Exposure to research methods, technical or scientific literature, and experimentation preferred.
Education and Experience
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- Coursework, project experience, or research experience in artificial intelligence, machine learning, data engineering, data modeling, or a related technical area preferred.
Physical Demands - OFFICE / TRAVEL
- Standing/Sitting 30/70%
- Walking/Bending/Stooping 30%
- Lifting Requirements: 15 pounds
- Travel by air, rail, auto (5% of time)
- Work in manufacturing area, QA lab and office areas
Exposures - Odors, Fumes, Noise, Chemicals, Temperature, Vision strain, Moving parts
Dunmore International Corp. is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Dunmore makes hiring decisions based solely on qualifications, merit, business needs at the time.
Compensation: 18.00
See All 24 AI Architect Jobs in Pennsylvania
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Find AI Architect JobsAI Architect Jobs by City in Pennsylvania
Where Pennsylvania roles are concentrated, by current openings.
AI Architect Job Market in Pennsylvania
A snapshot from current Pennsylvania openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Food & Beverage
- Transportation & Logistics
- Banking & Financial Services
- Healthcare & Medical Services
What Pennsylvania Employers Look For
The qualifications that appear most often in AI architect jobs across Pennsylvania.
- Bachelor's or master's degree in computer science, data science, or a related engineering field
- Demonstrated experience designing and deploying machine learning or deep learning systems at enterprise scale
- Proficiency with cloud AI platforms such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI
- Experience building MLOps pipelines and overseeing model lifecycle management in production environments
- Strong background in large language model fine-tuning, prompt engineering, or generative AI architecture
- Ability to translate complex AI system requirements into technical roadmaps for cross-functional stakeholders
AI Architect Jobs in Pennsylvania: Frequently Asked Questions
How do you become a ai architect in Pennsylvania?
There is no state-issued license required to work as an ai architect in Pennsylvania, so the path runs through education and credentials. Most candidates hold a bachelor's degree in computer science, data science, or software engineering, with a master's degree preferred at senior levels. Vendor certifications from AWS, Google Cloud, or Microsoft Azure carry real weight with Pennsylvania employers across healthcare, finance, and defense sectors, and a portfolio of deployed AI systems is often the deciding factor.
How much do AI architects make in Pennsylvania?
AI architects in Pennsylvania earn a median of about $107,230 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $59,890 for the lowest 10% to over $167,420 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Pennsylvania?
Employers hiring ai architects in Pennsylvania right now include Penn State University, Carnegie Mellon University, and Boston Consulting, based on current listings on Migrate Mate as of September 2026. Pennsylvania's concentration of large health systems, defense primes, and financial institutions means demand is spread across both the Philadelphia metro and the Pittsburgh technology corridor.
Which Pennsylvania cities have the most ai architect jobs?
Pittsburgh, Philadelphia, and University Park account for the greatest concentration of ai architect openings in Pennsylvania. Philadelphia leads because of its dense cluster of health systems, insurance companies, and financial services firms, while Pittsburgh's strength in robotics research and university-affiliated technology programs drives consistent demand there, and suburban markets outside both cities benefit from the regional headquarters of defense and consulting firms.
Are there remote ai architect jobs in Pennsylvania?
Yes, and more than most fields. About 50% of ai architect openings tied to Pennsylvania are remote or hybrid as of September 2026, reflecting that the core deliverables of architecture design, model development, and stakeholder alignment translate well to distributed work. The portions most often performed on-site are initial infrastructure setup and collaborative design sprints with engineering teams.
How can I get hired as a ai architect in Pennsylvania with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, which large Pennsylvania employers in healthcare IT and financial services use as a feeder position for architecture tracks. Health systems like Penn Medicine and UPMC run structured data science and AI associate programs for candidates with strong academic projects but limited industry experience. Building a public portfolio of end-to-end ML projects and earning a cloud AI certification from AWS or Google Cloud gives early-career candidates a concrete edge when applying to these programs.
Where can I find and apply to ai architect jobs in Pennsylvania?
You can find and apply to ai architect jobs in Pennsylvania on Migrate Mate, which lists current Pennsylvania openings. Find roles that fit your experience and location and apply directly to the positions that match.
See All 24 AI Architect Jobs in Pennsylvania
Find roles in Pennsylvania that match your experience and apply in just a few clicks.
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