AI engineer for business applications

WTW

Lisboa

Hybrid

EUR 90,000 - 130,000

Full time

2 days ago
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Benefits offered by this job

Flexible working hours
Hybrid working options
Competitive compensation
Global exposure
Career development

Job summary

WTW ищет опытного инженера по AI для проектирования, сборки и внедрения AI-решений, решающих реальные бизнес-задачи и масштабируемых в производстве.

Кандидат будет работать с LLM, RAG, инструментами вызова функций и облачными платформами, внедрять устойчивые решения и поддерживать развитие архитектуры и управления AI.

Qualifications

  • Степень в области информатики/инженерии/математики или эквивалентный практический опыт.
  • 3+ года опыта в разработке ПО, AI/ML или низкоуровневой автоматизации.
  • Опыт разработки Generative AI и LLM-приложений (RAG, агенты, вызовы функций, структурированные выводы).
  • Опыт вывода проектов from prototype до production.
  • Опыт работы с API/базами данных/интеграциями и современными технологиями приложений.
  • Опыт работы в облаках, предпочтительно Azure.
  • Опыт с Microsoft Fabric/Synapse/Databricks и моделированием данных.
  • Знание Agile/DevOps, CI/CD.

Responsibilities

  • Работать с бизнес- и техническими стейкхолдерами для выявления ценности AI и перевод требований в решения.
  • Проектировать и внедрять AI-приложения и агенты с использованием LLM, RAG и инструментов на Foundry и Azure.
  • Разрабатывать повторно используемые навыки агентов и поддерживать активы.
  • Сочетать код-ориентированную разработку с низкоуровневой автоматизацией (Power Platform, Copilot Studio).
  • Быстро прототипировать и валидировать идеи с использованием доказательств и оценки.
  • Строить и обслуживать Fabric lakehouses, пайплайны, семантические модели и data agents.

Skills

Python
Generative AI
LLM-based applications
APIs
Cloud platforms (Azure)
Agile/DevOps

Education

Degree in CS/Engineering/Math

Tools

Microsoft Azure
Microsoft Fabric
Databricks
Synapse

Job description

Описание:

WTW is an award-winning advisory, broking, and solutions company that supports clients worldwide in transforming risk into opportunities for growth. With a rich insurance heritage dating back to 1828, from the Titanic in 1912 to the Moon Buggy in 1971, WTW brings deep industry expertise and longstanding experience. We are looking for an experienced AI Engineer to design, build and deliver AI solutions that solve real business problems and work reliably at scale.

Задачи:
  • Work with business and technical stakeholders to understand where AI can deliver measurable value, and translate requirements into practical technical solutions
  • Design, build and deliver AI applications and agents using LLMs, RAG, prompt engineering, tool calling, MCP and agentic patterns on Microsoft Foundry and Azure
  • Design and build reusable agent skills and maintain shared assets across solutions
  • Combine code-first development with low-code automation (Power Platform, Copilot Studio) as appropriate
  • Rapidly prototype and validate ideas, using evidence and evaluation to decide whether and how solutions progress
  • Data & Fabric focus: build and maintain the Fabric lakehouses, pipelines, semantic models, Fabric IQ and data agents that feed our AI solutions
  • Define and apply evaluation approaches for AI quality, reliability, safety and business effectiveness
  • Make solutions production-ready, with monitoring, observability, resilience, scalability and cost control
  • Use AI-assisted development tools while critically reviewing and testing both human-written and AI-generated code
  • Build in line with agreed architecture, engineering, security,
  • Responsible AI and governance standards
  • Diagnose complex implementation and integration issues and drive them through to resolution
  • Contribute reusable components and patterns and support less experienced engineers through code reviews and knowledge sharing
Требования:
  • Degree in Computer Science, Computer Engineering, Mathematics or a related technical discipline, or equivalent practical experience
  • 3+ years of experience in software engineering, AI/ML engineering, low-code automation or AI solution development
  • Python skills
  • Practical experience building Generative AI and LLM-based applications (e.g. RAG, agents, tool/function calling, structured outputs)
  • Proven experience taking software or AI solutions from prototype through testing and into production
  • Experience with APIs, databases, integrations and modern application development
  • Experience with cloud platforms, with Microsoft Azure strongly preferred
  • For the Data & Fabric focus seats: hands-on experience with Microsoft Fabric, Synapse or Databricks, and data modeling
  • Experience with Agile, DevOps, source control and CI/CD practices
  • Understanding of Responsible AI, data privacy and AI governance requirements
  • Strong problem-solving skills and sound technical judgement
  • Confidence working directly with business users and explaining technical choices to non-technical stakeholders
  • Fluency in English, both written and spoken (mandatory)
Будет плюсом:
  • JavaScript/TypeScript, C#/.NET or other relevant languages are a plus
  • Hands-on experience with Microsoft Foundry and Azure OpenAI
  • Experience with Microsoft Fabric and Fabric IQ (e.g. lakehouses, semantic models, data agents)
  • Experience creating Agent Skills (SKILL.md) in Claude, Copilot Studio, Microsoft Foundry, GitHub Copilot or similar tools
  • A background in low-code automation (Power Platform, Copilot Studio) and a move into AI development
  • Knowledge of pensions or financial services
Условия:

Work-Life Balance: Enjoy flexible working hours and hybrid working options to suit your lifestyle. Competitive Compensation: Benefit from an attractive, performance-related remuneration system. Global Exposure: Join an international consultancy with the security of a global corporation and renowned clients. Career Development: Experience a steep learning curve and ample opportunities for individual career growth through on-the-job learning and specialist training. Collaborative Culture: Work in a collegial, appreciative, and dynamic environment where decisions are made together. Impactful Work: Quickly take on responsibility and make an impact with direct customer contact. Community and Celebration: Participate in corporate events and celebrate our successes together.

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