Solutions to Enterprise Architect

25 ott - Italia
Capgemini Engineering

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. Where you can make a difference. 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; 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. 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. 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 Milano, Torino, Modena, Bologna, Roma, Napoli
- hybrid working model. Contract type Permanent employment contract. National Collective Labour Agreement (CCNL) for the Commercio – Level 1 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. 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-lead

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