Saltar para conteúdo principal

Outros Especialistas em Base de Dados e Redes (M/F)

SÃO DOMINGOS DE BENFICA;

ID da Oferta

589428314

N.º de Vagas

1

Condições Requeridas

Habilitações Escolares e Profissionais

Habilitações Mínimas:
Licenciatura
Formação Profissional Exigida:
Não

Idiomas

INGLÊS
Muito Bom
Muito Bom
Muito Bom
Não

Experiência Profissional

Experiência anterior:
Sim
Tempo mínimo de experiência:
60 meses

Cumprimento de Quotas

Cumprimento de Quotas ? recrutamento de pessoas com deficiência (Lei 4/2019)?:
Sim

Outros Requisitos

Normas específicas de higiene e segurança no trabalho:
Não

Descrição do Perfil

We are looking for a Senior AI Technical Manager to strengthen Capgemini Portugals Data and AI team. This professional will technically lead the design and delivery of AI solutions, shape the AI offering, and act as a trusted advisor for clients and internal stakeholders. The role combines hands-on architecture leadership, delivery oversight, and contribution to commercial initiatives, ensuring scalable, secure solutions aligned with business outcomes.ROLE RESPONSIBILITIESLead end-to-end AI initiatives, including predictive and prescriptive AI and GenAI, from ideation to production.Define solution architectures and engineering standards, including MLOps, LLMOps, monitoring, CI or CD, scalability, and security.Guide delivery teams through technical challenges, ensuring quality, performance, and cost efficiency.Support go-to-market and pre-sales activities such as workshops, technical solutioning, proposals, RFPs, estimates, and technical storytelling.Build reusable assets and accelerators, promoting best practices and mentoring across the community.Collaborate with hyperscalers and partners such as Azure, AWS, and GCP, leveraging services including Azure ML, SageMaker, and Vertex AI.YOUR PROFILEAt least 5 years of experience in AI projects with strong technical leadership in architecture or tech lead roles.Deep knowledge of predictive and prescriptive AI, GenAI patterns such as RAG and agents, and MLOps or LLMOps.Strong understanding of modern data platforms including lakehouse and warehouse architectures, data pipelines, and cloud integration.Solid foundation in Responsible AI, including privacy, governance, transparency, and risk management.Strong stakeholder management, communication skills, structured problem solving, and ownership mindset.Fluency in Portuguese and English, spoken and written.

Condições Oferecidas

Contrato de Trabalho

Tipo de contrato:
Sem termo
Regime de trabalho:
A tempo completo

Horário Trabalho

Regime Horário:
Diurno
Nº de Horas:
8.0
Formas de Prestação de Trabalho:
Misto

Remuneração e Subsídios

Remuneração base ilíquida:
1700 EUR/Mês
Subsídio de refeição:
Subsídio de alimentação
9.63 EUR / dia
IRCT:
A entidade contratante declara não possuir IRCT.

Outras Regalias