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Ernst & Young

Provides consulting, assurance, and tax services

AI Solution Architect - Financial Services

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDiegem, Machelen, BelgiumNo salary listed

About the Job

Requirements

  • A Master's or PhD in a discipline such as Computer Science, Mathematics, Sciences, or Civil Engineering.
  • At least 4 years of experience in software or solution architecture, including at least 3 years designing AI/ML platforms and solutions in Azure.
  • Deep knowledge of at least one cloud provider, including services such as AKS/ACI, App Service, Functions, API Management, Event Hubs/Service Bus, Storage, Key Vault, Private Link, and VNet, as well as identity and access management.
  • Practical expertise with large language model patterns such as retrieval-augmented generation, tool use or function calling, and agents; prompt engineering and evaluation; and experience with frameworks such as LangChain or Semantic Kernel.
  • Hands-on experience with data and AI platforms such as Azure ML, Databricks, Synapse, or Snowflake, and vector technologies such as Azure AI Search, Redis/RedisJSON, or pgvector.
  • Strong understanding of security, networking, and compliance in financial services, including segmentation, secrets management, software development lifecycle controls, and auditability.
  • Proficiency in Python and at least one additional language, .NET or Node.js, as well as Docker and Kubernetes.
  • Very good presentation and communication skills, including the ability to explain complex analytical concepts to business stakeholders.
  • Experience applying AI to real-world business problems.
  • Fluency in Dutch or French and business proficiency in English.

Responsibilities

  • Define target and reference architectures for cloud AI solutions, including retrieval-augmented generation, agentic workflows, orchestration, and event-driven integration, aligned with security, compliance, scalability, and cost-efficiency.
  • Lead solution design from discovery through high-level and low-level design, selecting models including open-source large language models, vector stores, orchestration frameworks, and integration patterns with core banking and insurance systems.
  • Set non-functional requirements such as service-level objectives, performance, and resiliency, and design observability across application, data, and model layers, including telemetry, tracing, and evaluation.
  • Embed responsible AI and data protection by design, including guardrails, red-teaming, privacy-preserving patterns, data residency, encryption, and keys and secrets.
  • Guide delivery squads during implementation, conduct design reviews, mitigate technical risks, and ensure quality through continuous integration and delivery, automated testing, and infrastructure as code.
  • Contribute reusable accelerators, blueprints, and assets; coach engineers; and promote engineering excellence.
  • Take ownership of projects and help clients overcome their challenges.
  • Support business development and pre-sales activities.

Desired Qualifications

  • Certifications such as Azure Solutions Architect Expert, Azure AI Engineer, or Databricks Lakehouse Architect.
  • Experience designing multi-tenant cloud SaaS with strong isolation controls and cost management.
  • Knowledge of model risk management and AI assurance requirements in banks or insurers.
  • Experience architecting multi-channel AI assistants in regulated financial services.
  • Deep knowledge of scalable real-time architectures on Azure.
  • Experience with agile software development and project management.

About the Company

Ernst & Young

Provides consulting, assurance, and tax services

EY (Ernst & Young) is a global professional services firm that provides consulting, assurance, tax, and transaction advisory services across industries such as energy, healthcare, financial services, and real estate. Its work centers on helping clients solve critical business challenges by offering high-value advisory support in areas like supply chain, cybersecurity, sustainability, and digital transformation; revenue comes from fees for consulting, audit, and advisory services. What sets EY apart is its breadth of services across multiple disciplines, deep industry knowledge, and emphasis on thought leadership and research to inform clients’ strategic decisions. The firm aims to help organizations improve operational efficiency, navigate regulatory environments, and stay ahead of market trends by delivering practical, evidence-based guidance and execution support.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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