Enterprise AI Solutions Architect

Capgemini Engineering

Piemonte

Hybrid

EUR 35.000 - 57.000

Vollzeit

vor 12 Stunden
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Zusammenfassung

Capgemini Engineering is seeking a Senior Data Scientist to design enterprise AI and GenAI solutions, lead architecture decisions, and guide engineering teams. The role demands strong knowledge of models, APIs, security and governance, with Italian and English proficiency, in a hybrid Milano-area setting.

You will work across business and technical teams, shaping scalable, observable AI systems and ensuring cost-aware delivery in complex environments.

Qualifikationen

  • 5+ years in solution architecture, data architecture, AI architecture or related roles.
  • Experience delivering production-grade AI, ML or GenAI solutions.
  • Experience working across technical and business teams in complex environments.
  • Experience designing enterprise AI, ML or GenAI solutions.
  • Strong understanding of LLMs, RAG, AI agents and orchestration patterns.
  • Knowledge of AI application architecture, APIs and cloud-native integration.
  • Understanding of model evaluation, monitoring and lifecycle concepts.
  • Familiarity with vector databases, knowledge retrieval and data foundations.
  • Knowledge of AI security, governance and responsible AI principles.
  • Strong communication, collaboration and stakeholder management skills.
  • Excellent proficiency in Italian and English.

Aufgaben

  • Define end-to-end architectures for AI and GenAI solutions.
  • Design AI-enabled applications, agentic workflows and orchestration patterns.
  • Select suitable models, platforms, frameworks and integration approaches.
  • Establish standards for AI governance, security, responsible AI and compliance.
  • Guide engineering teams during implementation, integration and deployment.
  • Ensure AI solutions are observable, scalable, reliable and cost-aware.
  • Lead architecture reviews and communicate options and trade-offs to stakeholders.

Kenntnisse

Solution/AI architecture
AI/ML/GenAI production
Cross-functional collaboration
Enterprise AI design
LLMs and AI agents
AI architecture and APIs
Model lifecycle
Vector databases
Responsible AI
Stakeholder management
Multilingual (Italian & English)

Jobbeschreibung

  • Experience designing enterprise AI, ML or GenAI solutions;

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

As an Enterprise AI Solutions Architect at Capgemini Engineering you will be responsible for design and govern secure, scalable and production-ready AI and GenAI solutions. The role combines architecture leadership with practical knowledge of AI technologies, supporting engineering teams and translating business needs into sustainable technical solutions.

  • Define end-to-end architectures for AI and GenAI solutions;
  • Design AI-enabled applications, agentic workflows and orchestration patterns;
  • Select suitable models, platforms, frameworks and integration approaches;
  • Establish standards for AI governance, security, responsible AI and compliance;
  • Guide engineering teams during implementation, integration and deployment;
  • Ensure AI solutions are observable, scalable, reliable and cost-aware;
  • Lead architecture reviews and communicate options and trade-offs to stakeholders.
YOUR PROFILE
  • 5+ years in solution architecture, data architecture, AI architecture or related roles;
  • Experience delivering production-grade AI, ML or GenAI solutions;
  • Experience working across technical and business teams in complex environments.
  • Experience designing enterprise AI, ML or GenAI solutions;
  • Strong understanding of LLMs, RAG, AI agents and orchestration patterns;
  • Knowledge of AI application architecture, APIs and cloud-native integration;
  • Understanding of model evaluation, monitoring and lifecycle concepts;
  • Familiarity with vector databases, knowledge retrieval and data foundations;
  • Knowledge of AI security, governance and responsible AI principles;
  • Strong communication, collaboration and stakeholder management skills;
  • Excellent proficiency in Italian and English.
Nice to Have
  • Experience with Vertex AI or a comparable cloud AI platform;
  • Experience with agentic or multi-agent architectures;
  • Knowledge of MLOps and AI observability practices;
  • Experience in complex enterprise or telecommunications environments;
  • Familiarity with architecture frameworks and enterprise governance models.
What You’ll Love About Working Here
  • We recognize the importance of flexible work solutions to support you. Whether it's remote work, flexible hours, or both, you will find an environment that promotes work-life balance;
  • At the heart of our mission is your career, with professional development paths designed to help you explore a world of opportunities;
  • We are committed to fostering social responsibility by creating an inclusive workplace where diverse talents are valued. Diversity is a cornerstone of our corporate culture, enriching our work through different experiences, cultures, ethnicities, communication styles, and behaviors;
  • You will have the opportunity to work on innovative Data & AI projects, collaborating with a global ecosystem of specialists and accessing certification programmes offered in partnership with leading technology providers, including AWS, GCP, Azure, Snowflake and Databricks. You will grow within a community that values continuous learning, with access to the Data & AI Campus and the GenAI Campus, where you can develop advanced skills and shape your professional development journey
Location

Milano, Torino, Modena, Bologna, Roma, Napoli - hybrid working model.

Contract type

Permanent employment contract.

Classification

National Collective Labour Agreement (CCNL) for the Commercio – Level 1

Job title

Senior Data Scientist

Gross Annual Salary (RAL)

from € 35,057 to € 57,475 for Level 1 of the CCNL Commercio

The salary range indicated has been defined in compliance with European and national regulations on pay transparency.

The minimum value of the salary range corresponds to the minimum remuneration provided for by the applicable National Collective Labour Agreement (CCNL) for the level and role indicated above and does not necessarily represent the starting salary. The compensation offered at the end of the recruitment process will be determined based on the candidate’s skills, professional experience, seniority level, and the specific characteristics of the selected profile, in line with the company’s compensation and grading framework, and in accordance with objective and gender-neutral criteria.

About Capgemini Group

Capgemini is the business transformation partner for enterprises in the age of AI. We help organizations imagine and build an intelligent, sustainable future, combining AI, technology and human ingenuity to transform how they operate, innovate and grow. With unique end-to-end capabilities spanning strategy, technology, engineering and intelligent operations, we bring together deep industry expertise and market-leading capabilities in AI, cloud and data to turn ambition into measurable business outcomes at scale. Supported by a robust ecosystem of partners and nearly 60 years of expertise, Capgemini is a responsible and diverse global organization of over 410,000 team members in more than 50 countries. The Group reported 2025 revenues of €22.5 billion.

Make it real. | www.capgemini.com

The job offer is intended for both sexes in compliance with Legislative Decree 198/2006. Additionally, we pay attention and sensitivity to future resources belonging to protected categories, pursuant to articles 1 and 18 of Law 68/99. Personal data will be processed in accordance with the provisions contained in EU Regulation 679/2016.

- MB16

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