Product Architect - Remote - 12 Months CTH with client.

Must have: Architecture Design patterns, Architectural documentation and communication, Data Governance, AI-Assisted Workflow Design, Kafka & Financial Systems Architecture — Domain Depth. Azure & Domain experience in payments, banking, trading systems, billing, licensing, entitlements, or financial platforms. Experience integrating ERP or financial systems (SAP or equivalent). C# / .NET (primary); Python / TypeScript and Azure DevOps or GitHub. Strong communication skills…

About the Role

This is a hands-on Product Architecture role focused on designing and governing data-intensive financial systems across the product portfolio. You will define domain models, API and event contracts, and scalable workflows that support high-volume transactions, complex financial processes, and strict compliance requirements — while embedding AI capabilities safely into data quality and workflow automation. 

This is a domain ownership role with real accountability. Your designs and contracts will be adopted across teams. Success is measured by your ability to handle large-scale financial data, ensure accuracy and auditability, enable reliable downstream adoption without breaking changes, and govern AI-assisted workflows with the rigor that financial systems demand.

What You Will Do

Product Architecture Ownership

• Own product-level architecture for financial systems — domain models, system flows, and integration patterns supporting large-scale data and transaction processing 
• Define NFRs across latency, throughput, correctness, availability, operability, and security — with measurable acceptance criteria and live observability dashboards 
• Design API-first and event-driven architectures enabling scalable, reliable consumption across downstream systems 
• Establish data governance, auditability, and traceability standards across all financial workflows 
• Coach delivery teams on contract design, observability, and data integrity best practices 

Financial Systems & Workflow Design 

• Architect solutions handling high-volume financial data, complex calculations, and multi-step workflows 
• Design systems supporting compliance-heavy processes — audit trails, regulatory reporting, and reconciliation 
• Define where business logic, enrichment, and validation reside — pipeline versus service layer — with idempotent processing, replay ability, and recoverability for financial transactions 
• Partner with integration teams to design scalable, loosely coupled systems using event-driven patterns 

AI-Assisted Data Quality & Workflows 

• Apply AI capabilities safely for data mapping, normalisation, and anomaly detection — scoped as decision-support with human approval, never as autonomous mutation of financial data 
• Design AI-assisted import workflows — covering CSV and Excel ingestion, intelligent column mapping, and multi-stage validation — with explicit evaluation criteria and safety gates that make AI assistance trustworthy, not just convenient 
• Design evaluation and safety gates for all AI-assisted flows to ensure outputs are auditable, correctable, and compliant with financial governance standards 
• Build rapid spikes and POCs to de-risk agent workflows, retrieval and evidence patterns, and performance assumptions; document all architectural decisions via ADRs 

Data Integrity, Governance & Compliance 

• Design for accuracy, consistency, and auditability of financial data across systems 
• Implement governance frameworks ensuring compliance with financial regulations and internal controls 
• Define reconciliation strategies, exception handling, and correction workflows 
• Establish monitoring and alerting for data quality SLIs

POC Execution & Technical Leadership

• Build POCs and technical spikes to validate architecture decisions around data processing, workflows, and integrations 
• Translate ambiguous financial and business requirements into scalable, well-documented technical designs 
• Document all architectural decisions via ADRs and maintain traceability across systems 

Outcomes & Measures

• Scalable architecture supporting high-volume financial data and complex workflows delivered and adopted across teams 
• Measurable improvements in data accuracy, processing reliability, and system performance 
• Domain models and contracts adopted by multiple downstream systems without breaking changes 
• AI-assisted workflows operational with measurable accuracy, human-approved safety gates, and audit-ready outputs 
• Robust audit, reconciliation, and recovery mechanisms in place with live observability dashboards 

Required Qualifications 

• 8+ years in software engineering with 3+ years in product or application architecture 
• Strong experience in fintech or financial systems involving large-scale data processing and complex workflows 
• Hands-on experience designing systems with high data volumes, transactional integrity, and compliance requirements 
• Proven ability to design data models, APIs, and event-driven systems for cross-team adoption with backward compatibility 
• Experience with governance, auditability, and regulatory considerations in system design 
• Strong understanding of NFRs — correctness, reliability, scalability, and observability — with measurable acceptance criteria 
• Ability to translate ambiguity into clear, buildable, well-documented architecture 

Preferred Qualifications 

• Domain experience in payments, banking, trading systems, billing, licensing, entitlements, or financial platforms 
• Kafka / Confluent — schema governance, consumer patterns, replay strategies, and event streaming at scale 
• Experience integrating ERP or financial systems (SAP or equivalent) into downstream SaaS provisioning or reporting flows 
• Experience applying AI/ML for anomaly detection or data quality in controlled, auditable, human-approved loops 
• Cloud experience (Azure preferred) — AKS, storage, networking, monitoring — with distributed system design 
• Familiarity with Microsoft Foundry Agent Service / MAF or equivalent AI orchestration tooling 

Core Competencies 

• Systems thinking — design scalable, resilient architectures for complex financial workflows under real constraints 
• Data integrity focus — correctness, auditability, and compliance-first mindset at every design decision 
• AI pragmatism — evaluation loops, safety gates, and human approval as non-negotiable design requirements; not the assumption that the model gets it right 
• Strong communication — equally effective with technical engineering teams and non-technical business stakeholders 
• Pragmatic architecture — balance scalability, governance, and delivery speed without sacrificing financial data accuracy
• Design Patterns

Tools & Environment 

• Languages: C# / .NET (primary); Python / TypeScript (POCs and evaluation harnesses) 
• Cloud: Azure — AKS, Key Vault, Blob/ADLS, App Gateway, Monitor/Log Analytics 
• CI/CD: Azure DevOps or GitHub Actions; Bicep / Terraform 
• Eventing: Kafka / Confluent — schema governance and contract testing 
• Diagrams & Docs: Mermaid + C4; ADRs in /docs/adr 
• Data Stores: Relational and distributed systems supporting large-scale financial data 
• AI Orchestration: Foundry Agent Service / MAF or equivalent where appropriate 

Required: Bachelor''s degree in Computer Science or a related field

This role is open to W2 or those seeking Corp-Corp employment. The salary range for this role is $138 - $155k. For corp-Corp rates please contact the recruiter. In addition to other benefits, Accion Labs offers a comprehensive benefits package, with Accion covering 65% of the medical, dental, and Vision Premiums for employees, their spouses, and dependent children enrolling in the Accion-provided plans.