Senior AI Engineer (Payments Architecture & Strategy)

Job description

AI Payments Engineering Team – Job Description Roles: - AIOps Engineer - AI Automation Engineer - Senior AI Engineer (Payments & Architecture) Team Overview We are building a next-generation AI Payments Engineering Team to design and deliver an AI-native Payments Operating System. This team will combine AI engineering, payments domain expertise, and production automation to transform high-effort, high-risk financial operations into scalable, intelligent, and auditable systems. The team will focus on automating critical Payments processes such as Least cost routing, reconciliations, audit, Incident automation etc. The mission is to deliver efficiency with control integrity—not just automation speed. 3. Senior AI Engineer (Payments Architecture & Strategy) Core Focus Own the long-term architecture and evolution toward an AI-native Payments platform. Key Responsibilities - Assess and map end-to-end Payments operations, including: o Reconciliations o Reporting & controls o Audit Identify - Operational bottlenecks - Capability gaps - Integration failures - Define a **Payments automation roadmap** based on: - Operational impact - Regulatory risk - Scalability - Design the **AI-native Payments Operating System** , including: - Agentic system design - Data pipelines - Integration with financial systems - Control and reporting frameworks - Design and implement an **agentic Payments layer** that: - Operates alongside the current stack - Automates workflows today - Enables gradual migration to a future-state architecture - Evaluate and simplify the **existing Payments technology stack** - Represent Payments in the **AI Center of Excellence** , ensuring alignment across teams **AI Governance & Risk Management** - Classify all automation by **risk tier before development** - Ensure each solution includes: - Named Process Owner - Documented data flows - Access controls - Full audit logging - Design automation that preserves **control integrity in regulated environments** **Platform & Capability Building** - Develop **reusable frameworks, templates, and workflows** - Create **documentation and standards** to scale adoption - Build **dashboards and metrics** to measure: - Efficiency gains - Cost reduction - Risk outcomes - ROI - Train Payments teams on **AI-enabled workflows and tools** **Collaboration & Stakeholder Engagement** - Work closely with: - Payments Backend teams - Infrastructure & platform teams - Compliance & audit teams - AI Center of Excellence - Translate business and finance requirements into **technical solutions and roadmaps** - Communicate effectively with **technical and non-technical stakeholders** **What the Team Brings** **Technical Expertise** - Hands-on experience deploying **production-grade AI/agentic systems** - Strong understanding of: - LLM orchestration - Multi-agent systems - AI failure modes in high-stakes environments - Proficiency in: - Spring AI/Python-based orchestration - Workflow engines (n8n or equivalent) AI APIs (Anthropic/Claude or similar) **Systems & Architecture Thinking** - Ability to deliver across the lifecycle: **Discovery Design Build Deploy Optimize** - Strong architectural thinking for **scalable, future-ready platforms** **Ways of Working** - Operates effectively in **fast-paced, ambiguous environments** - Strong ownership mindset with a **bias for execution** - Ability to **bridge business and engineering domains**