AI Solution Architect - Financial Services
About the job
- 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.
- 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.
- 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
EY is a global professional services firm that offers consulting, assurance (audits), tax, and transaction advisory services to a wide range of clients including corporations, SMEs, and government entities. It earns fees for these services and uses its industry expertise and a worldwide network to help clients optimize operations, manage risk, and achieve sustainable growth. EY differentiates itself through its scale and reach, industry specialization, focus on end-to-end services, strategic alliances, and emphasis on innovation and sustainability, including improving audit quality and addressing digital economy needs and supply chain visibility. The company’s goal is to help clients navigate complex regulatory and business environments, transform finance and tax functions, and drive efficiency and resilience across their operations.
Company Size
1,001-5,000
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
1991
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Simplify's Take
What believers are saying
- EY.ai Agentic for Sales launched March 2, 2026 with Snowflake and Canva.
- EY uses client-zero deployments, scaling Copilot across 400,000 people by May 2026.
- EY’s 2026 AI assurance push monetizes client demand for governance, controls, and risk reviews.
What critics are saying
- Sabah filed RM2.4 billion audit-negligence claims against EY on July 30, 2026.
- EY set aside £188 million in March 2026 after NMC, Shell, and Made.com scrutiny.
- Repeated audit failures can destroy trust, trigger client defections, and shrink the franchise permanently.
What makes Ernst & Young unique
- EY Canvas processes 1.4 trillion journal-entry lines across 160,000 global audits.
- EY-Microsoft invested US$1b+ in May 2026 to industrialize enterprise AI delivery.
- EY launched agentic audit AI on April 7, 2026, spanning Assurance and AI assurance.
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Benefits
Professional Development Budget
Flexible Work Hours
Remote Work Options
Company News
EY added nearly 10,000 staff globally in its 2026 financial year as AI-related revenue surged almost 50%. The Big Four firm's workforce reached 415,000, with most growth concentrated in global delivery services and offshoring centres. The Americas division saw headcount decrease by roughly 4,500, or 5%. Overall global revenue rose 4.7% to $57 billion. EY-Parthenon was the fastest-growing service line, with revenue increasing 7.4% to $6.8 billion, marking a turnaround after two years of minimal growth. Tax revenue rose 6% to $13.8 billion, whilst consulting grew 4.4% to $17.4 billion. The results reflect EY's "All-In" strategy under global chair Janet Truncale, with billions invested in transforming operations and AI services.
An Ernst & Young study found US oil and gas producers reached record production in 2025 while becoming more selective with investments. The analysis of 30 major exploration and production companies, representing 43% of US oil and gas output, showed oil production hit a study-period high, yet reserve additions from extensions and discoveries declined 11% year over year and failed to fully replace production volumes for the first time since 2021. Total capital expenditures fell 49% year over year, whilst M&A spending declined 70%. Exploration spending dropped 11% to $4.8 billion, representing only 3% of total capital expenditures. Natural gas showed stronger fundamentals, with production rising 18%, reserves increasing 14%, and discoveries up 21%.
Ernst & Young's US division is allocating $100 million this fiscal year to bonus payments rewarding employees who demonstrate adaptability, innovation, and judgement. Individual spot awards reach $500, whilst employees or teams making significant contributions can receive between $10,000 and $25,000, five times the previous programme's ceiling. The initiative also covers AI experimentation. "What we recognise signals what we value," said Ginnie Carlier, chief talent and culture officer for EY Americas. The bonuses form part of a broader strategy to reshape employee development across all career levels. Other professional services firms are pursuing similar approaches. KPMG restructured its audit internship this summer to emphasise critical thinking, whilst PwC US introduced training combining AI proficiency with human qualities like empathy. EY reported AI-related revenue grew 30% year-over-year in 2025.
EY-Parthenon has acquired SparkOptimus, a Dutch digital strategy consultancy founded in 2010. The Amsterdam-based firm employs around 50 consultants and specialises in AI transformation, digital business model redesign and technology-driven transformation. SparkOptimus founders Alexandra Jankovich and Tom Voskes, both former McKinsey consultants, said joining EY-Parthenon will create significant value for clients and staff whilst providing access to broader capabilities. The acquisition marks EY-Parthenon's first European deal since 2021. EY-Parthenon, established in 2014, is EY's strategy consulting and transactions advisory business with around 25,000 professionals globally. Mark Reich, Partner at EY-Parthenon Netherlands, said SparkOptimus' expertise will complement existing capabilities in the Dutch market. The deal closes on 1 September 2026. Financial terms were not disclosed.
The UK Government has awarded a contract worth up to £456 million to KPMG and EY to train civil servants, the Financial Times reported, citing government procurement tracker Tussell. Under the arrangement, the firms will train officials across various skills areas, including AI, between 2026 and 2028. KPMG's share is capped at £319 million, representing almost a quarter of its total UK advisory net sales from last year. EY's portion is worth £137 million, equivalent to around 13% of its UK consulting revenue. The deal is the largest single contract awarded to Big Four companies since Tussell started tracking records in 2012. The previous record was a £322 million deal between the Foreign Office and PricewaterhouseCoopers in 2012.