ZipRecruiter

Log In

1

Applied Computing Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Computing Engineer to join our Cloud Technology Advancement Department within the Cyber, Modeling ... the Applied Research Laboratory (ARL) at Penn State. Our department advances cutting-edge ...

The Pennsylvania State University

  • Medical

  • Dental

  • Vision

  • Retirement

... computing, modeling, simulation, systems, or data analysis approaches applied to biological or health domains are strongly encouraged to apply. Successful candidates will join a vibrant ...

previous pagenext page

Showing results 21-40

All JobsApplied Computing JobsApplied Computing Jobs in Pennsylvania

Applied Computing information

See Pennsylvania salary details

$21.1K

$109K

$181.4K

How much do applied computing jobs pay per year?

As of Aug 17, 2026, the average yearly pay for applied computing in Pennsylvania is $109,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $140,300.00 per year, depending on experience, location, and employer.

What can you do with an applied computing degree?

An applied computing degree prepares individuals for roles such as software developer, systems analyst, data analyst, or IT specialist. Graduates can work in software development, network administration, cybersecurity, or data management, often using programming languages, databases, and technical tools. The degree provides practical skills for technology-focused careers across various industries.

What are the key skills and qualifications needed to thrive in an applied computing position, and why are they important?

To thrive in Applied Computing, you need strong analytical abilities, problem-solving skills, and a solid background in computer science or related disciplines, often supported by a relevant bachelor's or master's degree. Familiarity with programming languages, databases, cloud platforms, and certifications like CompTIA, AWS, or Microsoft Azure is highly beneficial. Strong teamwork, effective communication, and project management skills help you excel in multi-disciplinary settings. These qualities enable professionals to design and implement effective technical solutions to complex, real-world problems across industries.

What types of projects or challenges might I encounter in an applied computing role?

In an Applied Computing position, you may work on diverse projects such as developing custom software applications, optimizing business processes with automation, analyzing data for actionable insights, or integrating new technology solutions within existing systems. Challenges often include translating organizational needs into technical requirements, staying current with rapidly evolving technologies, and collaborating closely with stakeholders across departments. You’ll typically collaborate with IT teams, subject matter experts, and sometimes clients to ensure solutions are practical and user-centered. These varied responsibilities keep the role dynamic and provide continual opportunities to expand your technical and professional expertise.

What do you do in applied computing?

Applied computing involves using computer science principles to solve real-world problems through software development, data analysis, and system implementation. Professionals in this field often work with programming languages, algorithms, and hardware to create practical solutions across various industries.

What is an applied computing job?

An Applied Computing job involves using computing principles and technologies to solve real-world problems in various industries. Professionals in this field apply software development, data analysis, cybersecurity, and IT management skills to improve business operations and decision-making. These roles can be found in sectors like healthcare, finance, manufacturing, and government, where technology is integrated to optimize processes and drive innovation.

What are popular job titles related to Applied Computing jobs in Pennsylvania?

For Applied Computing jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Applied Computing jobs in Pennsylvania look for?

The top searched job categories for Applied Computing jobs in Pennsylvania are:

Applied Computing jobs near you
Infographic showing various Applied Computing job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $109,036 per year, or $52.4 per hour.

AI Solutions Architect - Computing Services

Carnegie Mellon University

Pittsburgh, PA • On-site

$61.25 - $80.50/hr

Full-time

Re-posted 22 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is a prestigious institution seeking an AI Solutions Architect to enhance educational and operational effectiveness through artificial intelligence. The role involves collaborating with various teams to design AI solutions, build proofs-of-concept, and ensure compliance with security and ethical standards.
Responsibilities:
• Collaborate with senior leadership to help define and implement AI strategy aligned with institutional mission and goals.
• Translate business requirements into technical / functional requirements and design AI solution architectures that support secure, scalable, supportable implementations, including integration and operational expectations.
• Build and support proofs-of-concept and pilots to validate feasibility, value, and risk; partner with technical teams to evaluate results and recommend next steps for solution maturation.
• Contribute to technical and architectural foundations that enable repeatable, scalable AI solutions across the institution, including reference architectures, reusable design patterns, integration approaches, and operational considerations that support the path from ideation to pilot and, where appropriate, production.
• Partner with platform, infrastructure, and service teams to enable deployment pathways for AI pilots and enterprise solutions, including environment readiness, integrations, and production transition considerations.
• Partner with security and compliance teams to ensure AI solutions align with relevant regulations and standard processes, including privacy, data protection, and risk management.
• Evaluate and recommend enterprise AI technologies, frameworks, and appropriate tools; identify and assess opportunities and core use-cases.
• Ensure ethical standards are applied and promote fairness, transparency, and inclusivity; identify and mitigate risks such as bias and inappropriate data use.
• Build and maintain documentation for AI architectures, processes, and solutions for reference and auditing purposes, including architecture diagrams, solution decisions, and operational handoff materials.
• Lead and own technical workstreams and projects from concept to implementation, ensuring delivery within scope, timeline, and budget.
• Collaborate with multi-functional teams to transform requirements into practical AI solutions; cultivate secure architectures and operational efficiency across on-premise and cloud environments.
• Stay ahead of AI trends and emerging technologies in higher education and propose innovative ideas for AI integration.
• Participate in the facilitation of upskilling and training initiatives, including but not limited to the Generative AI Center of Excellence workshop, focused / targeted training sessions, executive enablement, and Community of Practice events.
Qualifications:
Required:
• Bachelor's Degree or equivalent experience
• Master's Degree or equivalent experience
• 5 – 8 years of relevant work experience
• Successful background check
• Ability to maintain composure when dealing with difficult situations and/or individuals.
• Adaptability and openness to change as the department and organization evolves.
• Ability to meet deadlines, work under pressure and with frequent interruptions.
• Ability to understand and follow directions.
• Ability to prioritize work and handle multiple tasks simultaneously.
• Ability to work well with others and/or as part of a team.
• Cloud Computing — 2 (Intermediate)
• Information Technology Consulting — 3 (Experienced)
• Software Development — 2 (Intermediate)
• Artificial Intelligence Technologies — 3 (Experienced)
• Data Modeling — 2 (Intermediate)
• Machine Learning (ML) — 3 (Experienced)
• Technical Support — 3 (Experienced)
• Artificial Intelligence (AI) — 3 (Experienced)
• Cloud Technology — 3 (Experienced)
• IT Service Management (ITSM) — 2 (Intermediate)
• Technical Communication — 3 (Experienced)
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Carnegie Mellon University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply