Ernst and Young

Solution Architect (AI & Data) - Consulting Manager

Ernst and Young
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17 days ago
Luxembourg, LuxembourgStaff+

Responsibilities

  • Analyze client challenges and assess the technical feasibility, business impact, and complexity of proposed AI use cases.
  • Define technical scope, cost estimates, target architectures, and project timelines for AI business cases.
  • Design Azure AI reference architectures covering RAG, fine-tuning, AI agents, and MLOps.
  • Document and redesign business processes using intelligent automation and human augmentation.
  • Advise clients on architecture, security, AI observability, SDLC, and technical foundation gaps.
  • Supervise proofs of concept, pilot programs, and production deployments for Microsoft AI solutions.
  • Maintain AI governance through security, GDPR compliance, Responsible AI principles, and risk management.
  • Support development of practice service offerings and methodological frameworks.
  • Mentor junior consultants and technical managers.

Requirements

  • 6+ years of experience in IT or cloud solution architecture, including 3+ years on enterprise AI projects.
  • Expertise with the Microsoft Azure AI stack, including Azure OpenAI Service, Azure AI Studio, Azure Machine Learning, Semantic Kernel, Azure AI Search, Document Intelligence, and Microsoft Fabric.
  • Ability to formalize complex business problems and translate them into technical architectures and business-case components.
  • Experience assessing AI use cases and developing their technical components.
  • Knowledge of business process re-engineering methodologies such as BPR, BPMN, and Lean applied to AI projects.
  • Proficiency in MLOps and LLMOps practices and enterprise integration architectures, including API Management and event-driven architectures.
  • Understanding of GDPR, DORA, and the EU AI Act as applicable to Luxembourg’s financial sector.
  • Master’s degree in computer science, engineering, or a related field.
  • Fluent French and English are mandatory; German proficiency is an asset.
  • Preferred certifications include Azure Solutions Architect Expert (AZ-305), Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), Microsoft Fabric Analytics Engineer (DP-600), TOGAF 9/10, and CBAP.

Benefits

  • Flexible work environment and globally connected teams.
  • Future-focused skills development and world-class experiences.
  • Diverse and inclusive culture.
  • Employment is contingent on successful background checks and pre-screening requirements.
  • Disability-related adjustments or accommodations can be requested during the recruitment process.

Tech Stack

Categories

Solutions Engineering
Ernst and Young

About Ernst and Young

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