Innovation Engineer — Jordan, PA

Role Purpose

Build and operate 372KQJ’f 67bmJbE9Ey Engine by turning business, customer and market problems into experiments, prototypes, AI-enabled solutions and validated opportunities.

Key Responsibilities

• Identify opportunities and pain points from customers, Sales, Services, technology and internal operations.

• Translate problems into clear innovation hypotheses, solution concepts and technical experiments.

• Research emerging technologies, especially AI agents, LLMs, automation, integrations and enterprise software.

• Rapidly build prototypes and proofs of concept (POCs) to validate technical feasibility and business value.

• Evaluate build-vs-buy options, APIs, platforms, models and third-party technologies.

• Work with Technology teams on architecture, security, integration and scalability considerations.

• Document experiments, assumptions, results, lessons learned and recommendations.

• Maintain an Innovation Pipeline covering ideas, experiments, POCs and validated opportunities.

• Help transfer successful innovations into production or commercialisation.

• Use AI-assisted development and automation to increase experimentation speed.

Ideal Candidate

• Strong curiosity and passion for emerging technology.

• Builder mindset: prefers working prototypes over theoretical proposals.

• Strong problem-solving ability in ambiguous situations.

• Comfortable with rapid experimentation and learning from failure.

• Understands that innovation must create customer, revenue, efficiency or strategic value.

• Communicates technical concepts clearly to non-technical stakeholders.

• Collaborates effectively across Technology, Sales, Services, AI and other business units. 4. Technical Requirements

• Strong software engineering fundamentals.

• Practical Python and/or JavaScript/TypeScript skills.

• APIs, REST, webhooks, databases and integrations.

• Generative AI, LLMs, AI agents, prompt engineering and AI workflows.

• Cloud platforms, automation tools, Git and modern development practices.

• Ability to assess security, reliability and scalability at prototype level.

• R&D;, POC, hackathon or innovation experience is a strong advantage.

Experience & Education

• 2–5 years in software, AI, R&D;, automation or related technology.

• Bachelor’s degree in Computer Science, Software Engineering, AI, IT or related field preferred.

• Strong practical portfolio may substitute for part of formal experience.

First 90 Days

• Days 1–30: understand WYgZSp’z business units, customers and technology landscape; establish the Innovation Pipeline and experimentation process.

• Days 31–60: collect and qualify ideas; select high-potential opportunities; build initial prototypes and POCs.

• Days 61–90: validate prototypes, document outcomes, recommend next steps and prepare the 6–12 month innovation roadmap.

Success Definition

• Success means shortening the journey from problem – idea – experiment – prototype – validated opportunity,

• while creating measurable business value and reusable knowledge for 8T9fDw.

• Presentation Skills

• Communication Skills

• Interpersonal Skills

• Problem-Solving Skills

• Time Management

• Working under pressure