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AI Product Engineer

VertexKing of Prussia, Pennsylvania

$104,900 - $136,400 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site
Compensation
$104,900-$136,400/year

Job Description

Job Description:

Vertex is seeking an AI Product Engineer to design, build, and deliver AI-powered enterprise web applications that create AI-native customer and internal experiences. In this role, you will help define how users interact with intelligent systems to make better decisions, work more efficiently, and scale their impact across the organization. You will own the full AI product lifecycle—from product discovery and UX/UI design to full-stack development and production deployment—turning complex business challenges into intuitive, scalable solutions. The work centers on reimagining workflows with AI, transforming how customers and internal teamsoperate,makedecisions, andachievebusiness outcomes.

This is a demanding, high-visibility role focused on problems where successful execution matters. The work will require urgency, judgment, and ownership, with direct exposure to leaders acrossVertexand responsibility for products expected to create measurable business impact.

Key Responsibilities

  • Develop deep domainexpertisein customer and internal workflows,operatinglike a forward-deployed product engineer who learns the business, users, data, constraints, and decision paths well enough to design AI products that meaningfully change how the work gets done

  • Own theendtoendlifecycleof AI products, from discovery and UX/UI design through development, deployment, and iteration

  • Design and buildenterprise web applicationsthat support multiple user personas, workflows, and permissions

  • Leadproduct discovery discussionsto understand operational processes, user needs, and business constraints

  • Create AI-native product and UX patterns that go beyond traditional software and chat interfaces, including human-in-the-loop review flows, contextual decision support, workflow automation, confidence and escalation experiences, and interfaces for collaborating with intelligent systems

  • Build and shipproductiongradefullstackapplicationsintegrating GenAI/LLM capabilities

Required Qualifications

  • 0–3 years of experience inAI product engineering,product-design-focusedfullstackengineering, orproductfocusedsoftware roles

  • Experiencedesigning,owningand shippingendtoend,userfacingapplications

  • Handsonexperience integratinggenerative AIinto complex web applications

  • Demonstrated experience withproduct design in practice, including UX flows, UI decisions, and enterprise workflow design

  • Portfolio required: examples ofAIpoweredproducts or systems (GitHub repositories, demos, deployed applications, or case studies)

Preferred Qualifications

  • Experience buildingAIpoweredenterprise productssuch as internal platforms, SaaS tools, or workflow anddecisionsupportsystems

  • Experience designingmultistep,nonlinearproduct experiencesfor different user personas

  • Familiarity withfrontend frameworks and UX tools(e.g., React, Figma)

  • Consulting orcustomerfacingexperience translating business problems into technical solutions

  • Equivalent combination of education, training, and relevant professional experience accepted in lieu of a formal degree

  • Solo-shipping projects through to launch

Other Qualifications

The Winning Way behaviors that all Vertex employees needin order tomeet the expectations of each other, our customers, and our partners. 

  • Communicate with Clarity- Be clear,conciseand actionable. Be relentlessly constructive.Seekand provide meaningful feedback. 

  • Act with Urgency- Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule – better is the enemy of done.Don’tspend hours when minutes are enough. 

  • Work with Purpose-Exhibita “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personalobjectivesfor team results. 

  • Drive to Decision- Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitmentto andaccountability for customer outcomes. 

  • Own the Outcome- Defined milestones,commitmentsand intended results. Assess your work in context, ifyou’reunsure, ask. Demonstrate unwavering support for decisions.

Pay Transparency Statement:

US Base Salary Range: $104,900.00 - $136,400.00

Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs. * The range displayed does not encompass the full potential of the role, which allows for further growth and career progression.

In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants.

Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs.

*In no case will your pay fall below applicable local minimum wage requirements.

Automate your job search with Sonara.

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FAQs About AI Product Engineer Jobs at Vertex

What is the work location for this position at Vertex?
This job at Vertex is located in King of Prussia, Pennsylvania, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Vertex?
Candidates can expect a pay range of $104,900 and $136,400 per year.
What employment applies to this position at Vertex?
Vertex lists this role as a Full-time position.
What experience level is required for this role at Vertex?
Vertex is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Vertex?
You can apply for this role at Vertex either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.