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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ROLE OVERVIEW
As a forward-deployed AI operator within Real-World Data Solutions (RWDS), you will work at the intersection of people, process, data, and technology to turn messy operational challenges into AI-enabled systems that perform in daily work.
You will embed directly with the teams doing the work: observing how workflows actually operate, identifying the right intervention, building the smallest useful solution, testing it with real users, and improving it until it delivers measurable value. Sometimes that solution will use AI; sometimes deterministic automation, an existing platform, or a process redesign will be the better answer. Your job is to make that judgment and own the outcome.
This is a senior, hands-on builder role for an operations-minded problem solver—not a traditional software engineering position. You should be comfortable building with modern AI, automation, analytics, and low-code tools, while partnering with data and engineering teams when a solution requires production-grade infrastructure.
Because this role sits at the center of how RWDS delivers for clients, the work you do here should show up in two core ways: how clients experience working with us, and how profitably we operate
KEY RESPONSIBILITIES
- Discover and document how work actually happens: the people, approvals, exceptions, and informal tools (spreadsheets, Slack threads, workarounds) that fill the gaps in official process
- Build and ship AI-enabled tools, workflows, and automations directly with the analysts and teams who'll use them
- Own your tools past the demo stage — make sure the underlying data logic is sound and the tool holds up as usage scales, partnering with engineering to productionize and incorporate into enterprise tooling
- Use current AI/LLM tooling (agents, RAG, coding assistants) to build faster, and know when a lightweight tool or application is the right call versus when it needs to be a real engineered solution
- Design appropriate human review, exception handling, monitoring, and governance into each solution from the beginning
- Actively gather voice-of-client feedback from analysts and business stakeholders to determine what should be built
- Pilot new tools with a small group of real users before scaling team-wide, and use that feedback to shape the broader rollout
- Communicate technical decisions and tradeoffs clearly to non-technical stakeholders
- Take ownership of a defined portion of the AI/tooling roadmap for RWDS with minimal oversight — you're expected to drive, not just execute against someone else's plan
- Train the RWDS and dependent teams on AI tooling and maintain ongoing communication to support adoption
QUALIFICATIONS
Required
- Ability to understand data structures, trace data through a workflow, validate business logic, and collaborate effectively with analysts and engineers
- Track record of driving a project or initiative from ambiguous problem to shipped solution with real adoption, without needing heavy oversight
- Demonstrated experience with LLM-based tools and practical AI integration patterns
- Understanding of responsible AI and data governance in a regulated industry
- Able to recognize when a lightweight solution is appropriate—and when security, scale, data complexity, or reliability requires engineering partnership
- Strong communication skills — able to explain technical tradeoffs to non-technical stakeholders and turn a vague business ask into a scoped technical plan
Preferred
- Analytics/data engineering, or ETL background, or equivalent depth working directly with large relational databases (SQL, Python, Databricks, or equivalent)
- Experience building playbooks, training programs, or enablement materials that scaled technology adoption across a team
- Some prior leadership or informal mentorship experience — this role is expected to grow into more ownership over time
- Experience evaluating or piloting new AI platforms and tools, and making a real build-vs-buy call rather than just experimenting
- Exposure to complex analytics workflows leveraging large data environments
- Familiarity with real-world healthcare data (claims, EHR, labs, registries, or similar patient-level datasets) and how it's used in life sciences work
We welcome portfolios, capstone projects, workflow maps, automation examples, or case studies that demonstrate how you diagnosed a problem, chose an approach, built and deployed a solution, earned user adoption, and measured the result. We care more about demonstrated judgment and shipped outcomes than whether your previous title included “AI.”
Base salary for the role is commensurate with experience and can range between $190,000 - 240,000 + annual bonus opportunity.
Hiring Locations
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
ROLE OVERVIEW
As a forward-deployed AI operator within Real-World Data Solutions (RWDS), you will work at the intersection of people, process, data, and technology to turn messy operational challenges into AI-enabled systems that perform in daily work.
You will embed directly with the teams doing the work: observing how workflows actually operate, identifying the right intervention, building the smallest useful solution, testing it with real users, and improving it until it delivers measurable value. Sometimes that solution will use AI; sometimes deterministic automation, an existing platform, or a process redesign will be the better answer. Your job is to make that judgment and own the outcome.
This is a senior, hands-on builder role for an operations-minded problem solver—not a traditional software engineering position. You should be comfortable building with modern AI, automation, analytics, and low-code tools, while partnering with data and engineering teams when a solution requires production-grade infrastructure.
Because this role sits at the center of how RWDS delivers for clients, the work you do here should show up in two core ways: how clients experience working with us, and how profitably we operate
KEY RESPONSIBILITIES
- Discover and document how work actually happens: the people, approvals, exceptions, and informal tools (spreadsheets, Slack threads, workarounds) that fill the gaps in official process
- Build and ship AI-enabled tools, workflows, and automations directly with the analysts and teams who'll use them
- Own your tools past the demo stage — make sure the underlying data logic is sound and the tool holds up as usage scales, partnering with engineering to productionize and incorporate into enterprise tooling
- Use current AI/LLM tooling (agents, RAG, coding assistants) to build faster, and know when a lightweight tool or application is the right call versus when it needs to be a real engineered solution
- Design appropriate human review, exception handling, monitoring, and governance into each solution from the beginning
- Actively gather voice-of-client feedback from analysts and business stakeholders to determine what should be built
- Pilot new tools with a small group of real users before scaling team-wide, and use that feedback to shape the broader rollout
- Communicate technical decisions and tradeoffs clearly to non-technical stakeholders
- Take ownership of a defined portion of the AI/tooling roadmap for RWDS with minimal oversight — you're expected to drive, not just execute against someone else's plan
- Train the RWDS and dependent teams on AI tooling and maintain ongoing communication to support adoption
QUALIFICATIONS
Required
- Ability to understand data structures, trace data through a workflow, validate business logic, and collaborate effectively with analysts and engineers
- Track record of driving a project or initiative from ambiguous problem to shipped solution with real adoption, without needing heavy oversight
- Demonstrated experience with LLM-based tools and practical AI integration patterns
- Understanding of responsible AI and data governance in a regulated industry
- Able to recognize when a lightweight solution is appropriate—and when security, scale, data complexity, or reliability requires engineering partnership
- Strong communication skills — able to explain technical tradeoffs to non-technical stakeholders and turn a vague business ask into a scoped technical plan
Preferred
- Analytics/data engineering, or ETL background, or equivalent depth working directly with large relational databases (SQL, Python, Databricks, or equivalent)
- Experience building playbooks, training programs, or enablement materials that scaled technology adoption across a team
- Some prior leadership or informal mentorship experience — this role is expected to grow into more ownership over time
- Experience evaluating or piloting new AI platforms and tools, and making a real build-vs-buy call rather than just experimenting
- Exposure to complex analytics workflows leveraging large data environments
- Familiarity with real-world healthcare data (claims, EHR, labs, registries, or similar patient-level datasets) and how it's used in life sciences work
We welcome portfolios, capstone projects, workflow maps, automation examples, or case studies that demonstrate how you diagnosed a problem, chose an approach, built and deployed a solution, earned user adoption, and measured the result. We care more about demonstrated judgment and shipped outcomes than whether your previous title included “AI.”
Base salary for the role is commensurate with experience and can range between $190,000 - 240,000 + annual bonus opportunity.
Hiring Locations
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
See All 23 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
- Food & Beverage
- Transportation & Logistics
- Banking & Financial Services
- Healthcare & Medical 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, EXL, and onbe, based on current listings on Migrate Mate as of September 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, Philadelphia, and University Park 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 60% of ai solutions engineer openings tied to Pennsylvania are remote or hybrid as of September 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 23 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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