Empregos em ai

Bosch Car Multimedia, S.A. is looking for a GenAI Engineer to design, prototype and implement AI agents that enhance and automate engineering workflows across Bosch.

The Bosch Group has more than 400,000 employees worldwide, is present in 60 countries and works to develop high-quality technologies and services that enrich people’s lives and contribute to a more sustainable future.

Bosch Car Multimedia belongs to the Automotive Electronics division and focuses on making vehicles the third living space. Around 3,600 associates develop and produce high-quality technology that shapes change in mobility worldwide.

Role overview:

As a GenAI Engineer, you will translate complex engineering use cases into intelligent, reliable and compliant GenAI solutions that accelerate innovation and improve efficiency.

Key responsibilities:

• Design and implement GenAI agents to support engineering tasks such as requirements analysis, documentation assistance, test interpretation and failure analysis;
• Build and maintain AI pipelines using LLMs, embeddings, vector databases and domain-specific knowledge sources;
• Integrate AI agents with engineering tools, databases and repositories, including PLM systems, test data platforms and document management systems;
• Develop Retrieval-Augmented Generation, RAG, pipelines for structured and semi-structured engineering data;
• Ensure agent reliability, traceability and safe behavior in regulated engineering environments;
• Collaborate with domain experts to evaluate usability, performance and fitness for purpose;
• Document system architectures, APIs, integration points and operational guidelines;
• Work closely with security and compliance teams to ensure responsible and compliant AI usage.

Education:

• Degree in Computer Science, Engineering, Data Science or a related field.

Experience:

• Experience in GenAI development, agent orchestration or AI-assisted tooling;
• Solid software engineering background, preferably with Python;
• Experience with APIs and microservices;
• Experience working with structured and semi-structured data, such as JSON, PDFs and engineering documentation.

Know-how:

• Strong understanding of LLM integration patterns, embeddings and vector databases;
• Knowledge of agent frameworks, such as LangChain, LlamaIndex, OpenAI Agents, CrewAI, Swarm and MCP;
• Experience with MLOps, AI observability, evaluation frameworks or model deployment is a plus;
• Familiarity with PLM systems, engineering workflows or compliance standards in automotive or industrial environments is an advantage.

Languages:

• Proficiency in English;
• German is a plus.

Working style:

• Structured, reliable and solution-oriented working style;
• Ability to collaborate effectively with cross-functional engineering teams;
• Comfortable working in iterative and experimental environments.

Personality:

• Curious, proactive and eager to explore new technologies;
• Strong communication skills and collaborative mindset;
• Open to learning and working with diverse teams and perspectives.

Benefits:

• Flexible work conditions;
• Hybrid work system;
• Exchange with colleagues around the world;
• Health insurance;
• Medical office on site, including psychology and general clinic;
• Social Services Office on site;
• Training opportunities, including technical training and foreign languages training;
• Certifications;
• Opportunities for career progression and continuous professional development;
• Access to discounts through partnerships and Bosch products;
• Sports and health-related activities;
• Great access to public transport;
• Free transport from Porto;
• Flexible benefits platform;
• Free parking lot;
• Canteen.

Diversity and inclusion:

Bosch values diversity and equal opportunities. The company welcomes applications from people with disabilities and can provide reasonable accommodations during the recruitment process and in the performance of professional activity.

Success stories do not just happen. They are made. Make it happen.

Accenture is looking for a Data Architect with deep knowledge and experience in data architecture, data modernization and generative artificial intelligence solutions.

In this role, you will act as a subject matter expert, using influencing and advisory skills to engage with multiple groups, contribute to collective decisions and provide solutions that address challenges across different business areas.

The work:

• Define and develop data migration and modernization architecture, including data product architecture;
• Implement strategies for managing the data lifecycle effectively;
• Leverage, customize and implement generative artificial intelligence models, algorithms and methodologies;
• Enhance the quality of generative artificial intelligence products, applications and systems;
• Analyze and evaluate the performance of generative artificial intelligence systems;
• Provide design recommendations for generative artificial intelligence solutions;
• Architect and design end-to-end generative artificial intelligence products, applications and solutions tailored to specific business needs;
• Provide guidance and support during the implementation and delivery phases of generative artificial intelligence solutions.

Requirements:

• Master proficiency in Data Architecture Principles;
• Minimum of 12 years of experience in relevant related skills;
• Bachelor’s Degree in a relevant field of studies.

Bonus points:

• Master proficiency in AI & Data Processes;
• Master proficiency in AI & Data Strategy;
• Master proficiency in Data Access;
• Master proficiency in Data Taxonomy;
• Advanced proficiency in data modeling and integration techniques.

About Accenture:

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize operations, accelerate revenue growth and enhance citizen services.

The company is talent and innovation-led, with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and Accenture is one of the world’s leaders in helping drive that change.

Accenture combines technology and leadership in cloud, data and AI with industry experience, functional expertise and global delivery capability. Its services, solutions and assets cover Strategy & Consulting, Technology, Operations, Industry X and Song.

Visit Accenture at www.accenture.com.

Equal employment opportunity statement:

A Accenture acredita que ninguém deve ser discriminado pelas suas diferenças. Todas as decisões de contratação devem ser tomadas sem distinção de idade, raça, credo, cor, religião, sexo, nacionalidade, ascendência, deficiência, condição de veterano militar, orientação sexual, identidade ou expressão de género, informação genética, estado civil, cidadania ou qualquer outra condição protegida pela legislação aplicável.

A diversidade torna a empresa mais inovadora, competitiva e criativa, ajudando a servir melhor os clientes e as comunidades.

O nosso cliente é uma empresa líder na prestação de serviços de abastecimento de aeronaves e gestão de instalações de armazenamento de combustíveis, operando em contextos críticos.

Procuramos um/a profissional com formação em Engenharia e forte capacidade operacional para apoiar a excelência das operações onde atua.

Responsabilidades principais:

A reportar ao Operations Manager, serás o elemento fundamental entre a estratégia e a execução no terreno.

• Garantir que todos os procedimentos de abastecimento cumprem as normas de segurança e qualidade;
• Definir e executar projetos de melhoria das instalações de abastecimento de combustível;
• Gerir atividades de transformação e melhoria contínua nas operações diárias;
• Supervisionar o controlo operacional, incluindo stocks, vendas, gestão de caixa e registos de manutenção;
• Coordenar simulacros de emergência, verificar barreiras críticas e supervisionar auditorias;
• Gerar KPIs, preparar relatórios de gestão e apoiar o controlo de custos orçamentais;
• Atuar como porta-voz da empresa em reuniões operacionais e de segurança do aeroporto.

Requisitos:

• Licenciatura em Engenharia Mecânica ou outra área relevante para a função;
• Experiência profissional relevante em gestão de operações ou projetos, mínimo de 5 anos;
• Domínio avançado de inglês e espanhol;
• Sólidos conhecimentos de MS Office;
• Interesse em outras ferramentas de software e Inteligência Artificial, valorizado;
• Carta de condução B;
• Disponibilidade para viajar;
• Elevada resistência à pressão, rigor analítico e forte capacidade de liderança interpessoal;
• Registo criminal limpo.

Principais benefícios:

• Oportunidade de trabalhar num ambiente multinacional desafiante e de prestígio;
• Desenvolvimento de competências de gestão operacional e financeira;
• Impacto direto na eficiência de uma operação de alta complexidade.

A Randstad tem a missão de se tornar a empresa mais equitativa e especializada de talentos a nível mundial e dá as boas-vindas a pessoas com as mais diversas capacidades e experiências.

Assumimos o compromisso de garantir que o processo de recrutamento e contratação satisfaça as necessidades de todas as pessoas.

Caso necessites de alguma adaptação para tornar a tua candidatura ou entrevista mais confortável, informa os/as nossos/as consultores/as de recrutamento.

Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions.

We are seeking a highly qualified professional to join our team as an AI / Forward Deployed Engineer (multiple seniority levels). This role supports an Accenture client context, working on a global-market AI product already deployed across multiple geographies. You will work close to customers, product, engineering, architecture, and delivery teams to translate business needs into robust solutions through configuration, integration, adaptation, and continuous improvement. We are hiring profiles with 1 to 6 years of experience (from early-career to senior contributors who can guide others).