AI Solution Architect (R-19393)
Dun & Bradstreet4 months ago
Shenzhen, ChinaSenior
Responsibilities
- Scope, architect, and deliver production-grade AI solutions including RAG pipelines, agent workflows, and predictive analytics.
- Move from ambiguous business requirements to working prototypes with measurable ROI in 6–12 week timeboxes.
- Integrate Dun & Bradstreet data into client ERP, CRM, supply chain, and risk-management systems.
- Serve as the senior technical counterpart to C-suite, VP, and Head of Data stakeholders.
- Translate technical trade-offs into business cases covering revenue impact, cost reduction, and risk mitigation.
- Ensure deployments meet SOC 2, ISO 27001, regional privacy regulations, and financial-services requirements.
- Navigate cross-border data governance and regulated-industry compliance.
- Share client insights with Product and AI Labs teams to improve APIs, model performance, and vertical solutions.
Requirements
- 7+ years of product-grade software engineering experience with Python and SQL; Java or Go preferred.
- Proven expertise with AWS, Azure, or GCP; Airflow or Spark; and enterprise integrations such as SAP, Salesforce, or Snowflake.
- Hands-on experience with LLMs, vector databases, retrieval architecture, LoRA fine-tuning, and agent frameworks including LangChain, LangGraph, or DSPy.
- 3+ years of experience in consulting, solutions engineering, or client-embedded technical roles.
- Experience delivering AI/ML projects in production within regulated industries; financial services, credit risk, supply chain, or trade finance experience is preferred.
- Experience managing complex stakeholders and shipping outcomes in client environments.
- Experience discussing P&L impact, data monetization strategy, and competitive positioning with senior executives.
- Experience building and scaling technical teams in high-growth or transformation environments.
- Business fluency in written and spoken English and Mandarin is required; Cantonese is a strong plus.
- Working knowledge of data privacy, SOC 2, FedRAMP, HIPAA, and APAC regulatory landscapes.
- Prior top-tier consulting or AI-native enterprise experience, commercial credit data or supply-chain risk expertise, and published or open-source applied AI or data engineering work are nice to have.
Tech Stack
Categories
Forward Deployed
About Dun & Bradstreet
Dun & Bradstreet builds data and analytics products that help companies assess credit, manage third‑party risk and compliance, and find customers. Its Data Cloud, business credit reports, D‑U‑N‑S Number identity, and APIs are sold as subscriptions and software to finance, procurement, and go‑to‑market teams. Founded in 1841, the company is headquartered in Jacksonville, Florida, and is publicly traded on the NYSE (ticker: DNB).