AI Enterprise Innovation Lab Specialist

• Frontier tooling - hands-on with the latest AI platforms, including LLMs, agent frameworks and automation tools.
• High autonomy - an independent two-person Innovation Lab with light-touch direction and outcome-focused delivery.
• Strategic impact - shaping how AI and automation are adopted across a major global enterprise.

Accelerate Enterprise is driving functional AI and Automation across the Enterprise LoB - a strategic priority for Global Payments. This role sits within the commercial business, not engineering, meaning you’ll spend time with Commercial, Operations, Credit, Compliance, Marketing and other partners to uncover high-value opportunities.

You are not restricted to defined functions - you’re free to scout, test and validate opportunities anywhere across the Enterprise LoB.

Tool and tech scouting is core: you will evaluate cutting-edge AI tools outside the Global Payments stack, test them against real use cases, and help inform future adoption.

Key Responsibilities

Build & Iterate

• Build agents and automations across Microsoft, AWS, Salesforce and Snowflake.
• Prototype LLM use cases on AWS Bedrock or other platforms - write prompts, agent instructions and simple evaluation criteria.
• Run structured pilot tests with Commercial and Operations teams.
• Set up simple measurement for every pilot: baseline * pilot result * delta.
• Iterate quickly on feedback and flag early when something isn’t working.
• Query and prepare data for pilots; connect prototypes to downstream platforms when needed.

Delivery & Execution

• Produce build guides, prompt documentation and integration requirements.
• Train frontline users - simple guides, short sessions.
• Support the Innovation Lab Manager with benefits data collection.

Tool & Tech Scouting

• Support the Lab’s “tool & tech radar” - test external tools against real use cases.
• Run side-by-side comparisons with the incumbent stack and document capability, cost and integration effort.

AI Delivery & Experimentation

• Strong awareness of where AI can solve commercial and operational challenges.
• Demonstrated experience building AI-enabled solutions, prototypes, agents or automations.
• Ability to rapidly prototype and iterate using modern AI platforms.
• Understanding of strengths, limitations and risks of LLM-based solutions.
• Curious, fast, resourceful - thrives in ambiguity.
• Independent, comfortable working with light-touch direction.

Stakeholder Engagement

• Commercial awareness - able to explain value, cost, risk and outcomes to non-technical audiences.
• Able to gather requirements, demo solutions and incorporate feedback quickly.

Problem Solving & Solution Design

Ability to translate ambiguous business challenges into practical AI opportunities.

Structured problem-solving and analytical thinking.

Sound judgement balancing value, risk, complexity and speed.

Desirable Experience

Salesforce ecosystem, AI agent frameworks, AI coding tools, data platforms, and AWS.

ML fundamentals - features in, predictions out; able to support model-adjacent pilots.

Experience training or supporting non-technical users.