Senior AI Solutions Specialist

HealthVerity; Philadelphia (Philadelphia County); Hybrid; USD 120,000 - 155,000; Full time

Benefits offered by this job

401(k) plan

Stock options

Health, dental, and vision coverage

Generous PTO

Professional development budget

Job summary

A leading healthcare technology firm in Philadelphia is looking for a Solutions Consultant focused on AI Enablement. In this role, you will design AI-driven workflows and low-code tools to enhance data usage across the organization. With responsibilities such as prompt engineering and training internal teams in AI technologies, the ideal candidate will have significant experience in automation and familiarity with healthcare data. The company offers competitive compensation and a hybrid work model.

Qualifications

• 3+ years building no-/low-code automations in business.
• Experience with LLM-based tools.
• Hands-on proficiency with data warehouses and cloud computing.

Responsibilities

• Build AI-enabled workflows and applications.
• Create and maintain prompt libraries.
• Translate RWD use cases into scalable AI tools.

Skills

Building no-/low-code automations

Prompt engineering

Cross-functional collaboration

Familiarity with healthcare data

Tools

Make.com

Zapier

n8n

Replit

Job description

1 week ago Be among the first 25 applicants

Overview

As a Solutions Consultant, AI Enablement, you will design and deliver AI-enabled workflows and low/no-code tools on HealthVerity’s data warehouse. Your mission is to empower internal teams to streamline operations, accelerate real-world data (RWD) use cases, and scale adoption of enterprise AI tools across the organization. You will be the AI prompting and tool development authority for internal teams, ensuring accurate, relevant outputs that support a wide range of RWD workflows including clinical trial enablement, RWE generation, and patient journey analysis. You will partner with product, engineering, and analytics teams to create scalable internal solutions and provide structured feedback that informs product development. This is a ground-floor opportunity to shape how AI is deployed across HealthVerity’s internal operations and RWD workflows. You’ll establish standards for prompt libraries, workflow automation, and team enablement, ensuring AI adoption is consistent, compliant, and impactful. Your work will serve as the foundation for how AI is scaled across the company.

What you will do

• Build AI-enabled workflows and applications: Develop lightweight prototypes and internal tools, automations, and templates using platforms like ChatGPT, Google Gemini, Replit, Make.com, Zapier, or similar.
• Prompt engineering: Create, refine, and maintain prompt libraries tailored to internal RWD workflows, ensuring accuracy, reliability, and repeatability.
• Data and knowledge hygiene: Maintain clean, structured data inputs and prompt repositories that enable teams to scale their use of AI consistently.
• Cross-functional enablement: Translate RWD use cases into scalable, repeatable AI-enabled tools that can be used by non-technical teams.
• Voice of the internal customer: Capture and synthesize feedback from pre- and post-sale internal teams, relaying insights back to product and engineering.
• Training & adoption: Develop enablement materials, playbooks, and training programs that raise AI literacy across HealthVerity.
• Evaluate and benchmark tools: Stay current with emerging AI platforms, recommending and piloting tools that improve efficiency and scalability.
• Governance & compliance: Ensure all AI workflows align with privacy, security, and compliance standards.

How success will be defined

• Delivery of multiple AI-enabled workflows per quarter with measurable efficiency gains.
• High adoption rates of AI tools across internal teams.
• Improved accuracy and consistency of AI-enabled outputs through prompt libraries and structured workflows.
• Clear enablement materials and training that raise AI literacy and confidence within the organization.
• Documented feedback loops between internal teams and product/engineering.

Required Skills And Experience

• 3+ years building no-/low-code automations, workflows, or tools in a business setting.
• Demonstrated experience in prompt engineering and working with LLM-based tools.
• Familiarity with healthcare and real-world data (claims, EHR, labs, registries or related patient-level datasets) and how they are used in life sciences.
• Hands-on proficiency with platforms such as Make.com, Zapier, n8n, Replit, or Gemini.
• Experience with modern data warehouses (Databricks, Snowflake, etc) and cloud computing best practices.
• Strong cross-functional collaboration skills; ability to explain complex systems to non-technical colleagues.
• Understanding of responsible AI and data governance in regulated industries.

Desired Skills And Experience

• Exposure to healthcare or life sciences data is a plus.
• Experience creating playbooks, libraries, or training programs to scale technology adoption.
• Passion for experimenting with new AI tools and quickly prototyping solutions.
• Familiarity with enterprise information security and compliance processes.
• Experience working in internal solutions, product operations, or analytics enablement roles.
• Experience with external client-facing consulting or solutioning.
• Passion for experimenting with new AI tools and rapidly prototyping solutions.
• Previous exposure to healthcare or life sciences data is a plus.

Base salary for the role is commensurate with experience and can range between $120,000 - 155,000 + 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 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. Remote work is supported in the following hub locations and approved states:

• 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 data. We support critical applications in clinical development, commercial strategy, regulatory decision-making, population health, underwriting, and more. For more information, visit healthverity.com.

Why you’ll love working here

We are making a difference — Our technology addresses key healthcare challenges. We are one team — Our people define our culture and collaborate. We are learners — We continually develop skills to serve clients, partners, and each other.

Benefits & Perks

• Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
• Benefits: 401(k) plan, stock options, health, dental, and vision coverage starting day 1; 401(k) eligibility and stock options follow soon after
• Flexible location: Remote workdays and 3 days in-office collaboration for Philadelphia-area team members
• Generous PTO: ~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
• Onboarding: mentorship, departmental talks, and a resource library available from day 1
• Professional development: biweekly 1:1s and a yearly budget for professional development

EEO notice: HealthVerity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability. If you require a reasonable accommodation, please contact [e-mail].

Remote opportunities are not available in all areas and may require location constraints due to tax and labor law implications. Specific questions can be discussed during the interview process.