AI Senior Engineer, Payments

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• Lead 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 & Enablement Serve 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 & ROI
• Define, 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 Resistance Proactively 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 Edge Monitor 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 Optimization
• Ensure 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 Integration
• Provide technical guidance on incorporating AI capabilities into customer-facing products
• Collaborate with product and engineering teams to design and deliver AI-enabled features What Success Looks Like Increased 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. Qualifications Bachelor’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 Qualifications

• Experience 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. Great Place to
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