AI Senior Engineer, Payments

DescriptionWe are seeking a highly motivated and hands-on AI Senior Engineer to drive the integration and effective use of AI tools across our Payments Engineering team. This individual will play a critical role in accelerating engineering productivity, improving code quality, and ensuring our team stays at the forefront of AI innovation.This is a mid to senior level role reporting to the Senior Manager of Software Engineering. This role combines technical expertise, mentorship, and strategic thinking to unlock measurable value from AI.We are not considering candidates who require visa sponsorship for this position. This is a budgetary decision due to the significant talent available who currently do not require such sponsorship.ResponsibilitiesDrive AI AdoptionLead the rollout and day-to-day adoption of AI tools across the engineering team.Identify high-impact use cases and embed AI into engineering workflows and processes.Partner with engineers to integrate AI into coding, testing, documentation, and operational tasks across environments such as GitHub, .NET, and Java-based systems.AI Expertise & EnablementServe as the team’s subject matter expert in AI tooling and prompt engineering.Provide deep expertise in tools such as Claude Code, Codex, and ChatGPT, and guide teams on when and how to use each effectively.Coach and mentor engineers on best practices for leveraging AI in real-world development scenarios.Provide hands-on support, including live demonstrations and pair programming when needed.Measure Impact & ROIDefine, track, and report on KPIs that demonstrate the effectiveness of AI adoption (e.g., development velocity, defect rates, cycle time, cost savings).Continuously evaluate and optimize AI usage based on measurable outcomes.Champion Change & Overcome ResistanceProactively address skepticism by demonstrating real-world applications and results.Build confidence in AI through practical examples and tangible wins.Act as an advocate for innovation while grounding decisions in data and outcomes.Stay on the Cutting EdgeMonitor industry trends, emerging models, and evolving best practices.Evaluate new tools and technologies, recommending adoption where beneficial.Keep the team informed and engaged on relevant advancements in AI and software engineering. Cost OptimizationEnsure AI usage is efficient and cost-effective.Balance performance, quality, and spend when selecting tools and approaches.Provide guidance on maximizing ROI from AI investments.Product IntegrationProvide technical guidance on incorporating AI capabilities into customer-facing productsCollaborate with product and engineering teams to design and deliver AI-enabled featuresWhat Success Looks LikeIncreased team efficiency, enabling faster delivery of high-quality projects.Clear, data-backed evidence that AI is delivering meaningful value.A team that confidently and consistently uses AI tools in their daily work.A trusted, approachable leader who is the go-to resource for AI-related guidance.Demonstrated ability to quickly validate (or debunk) assumptions about AI effectiveness.A forward-looking team that stays current with AI advancements without unnecessary spend. QualificationsBachelor’s degree or higher in Computer Science, Engineering, or a related field.5+ years of experience in software engineering, AI, and/or machine learning.Hands-on experience with modern AI tools, including Claude Code, Codex, ChatGPT, and similar platforms.Strong experience working within engineering ecosystems such as GitHub, and development in .NET and/or Java environments.Strong understanding of prompt engineering and practical AI application in development workflows.Proven ability to influence and drive adoption of new technologies within a team.Experience defining and tracking engineering metrics and KPIs.Strong communication and mentorship skills; able to explain complex concepts clearly.Demonstrated curiosity and continuous learning mindset in a rapidly evolving space.Preferred QualificationsExperience in fintech or payments systems.Familiarity with multiple AI platforms and model providers.Background in developer productivity, DevEx, or tooling optimization.Experience running experiments or pilots to evaluate new technologies.