Capgemini

Artificial Intelligence

• Support the planning, execution, and documentation of validation activities for AI-enabled applications and systems
• Assist in developing and maintaining AI validation compliance procedures, templates, and validation deliverables
• Ensure AI systems comply with GxP requirements, regulatory expectations, and industry best practices
• Prepare, review, and maintain audit-ready validation documentation, test evidence, traceability matrices, and compliance records
• Execute validation activities according to approved Standard Operating Procedures (SOPs) and established validation frameworks
• Perform risk-based testing, quality reviews, and validation assessments to identify and mitigate compliance risks
• Contribute to continuous improvement initiatives by enhancing AI validation processes, test methodologies, and quality practices
• Work closely with quality, validation, business, and technology teams

CSV Specialist – AI-enabled systems

Director

• Own end-to-end delivery of a strategic Capability Build programme spanning multiple countries, business units, and stakeholder groups
• Develop and execute the transformation roadmap aligned with Capgemini's Insights & Data growth strategy and engineering objectives
• Lead a cross-functional programme involving HR, Finance, Commercial, Legal, Operations, Sales, Delivery, and Business Leadership teams
• Translate strategic business objectives into executable workstreams, milestones, deliverables, and measurable outcomes
• Establish and maintain programme governance frameworks, steering committees, executive reporting, and decision-making processes
• Serve as the primary interface between Capgemini executives, business leaders, account teams, and strategic technology partners
• Drive organizational change management activities and stakeholder adoption
• Build and manage integrated programme plans, dependencies, risks, assumptions, and resource requirements
• Lead executive-level communications, including board updates, steering committee materials, business cases, and investment recommendations
• Provide data-driven recommendations for strategic decisions, prioritization, and issue resolution
• Manage programme financials, including budget oversight, forecasting, cost management, resource planning, utilization tracking, and investment governance
• Identify, assess, and proactively mitigate programme risks
• Establish KPI frameworks and performance dashboards to measure programme success and business impact
• Drive collaboration across international teams to deliver outcomes consistently and at scale
• Champion continuous improvement and operational excellence
• Support growth of Capgemini's AI, Data, and Engineering capabilities through workforce and capability-building initiatives

Director, I&D Transformation – Programs

Engineer

• Implement initiatives to improve testing activities and provide support for their deployment
• Improve and further automate KPIs as part of their ongoing redesign
• Develop automation processes to simplify and optimize project management
• Develop predictive models based on the FAL production workload, using planning data and lessons learned
• Develop project review report templates automatically populated from databases and/or project management tools
• Expand knowledge through hands-on experience with aeronautical systems and testing

Aeronautical FAL Engineer – Internship

Engineering Manager

• Manage and develop existing and new relationships with major Automotive software R&D/Engineering customers in Gothenburg
• Take sales responsibility for targeted software R&D/engineering clients
• Drive business development and revenue growth
• Build and maintain client relations locally
• Analyze the local market and stay updated on the latest trends
• Optimize the local bench and staff employees on relevant projects
• Anticipate contract endings and reallocate resources
• Find the right assignment for the right competence using portals, email, or direct customer contact

Business Manager – Software Engineering

• Own the end-to-end delivery of a strategic Capability Build programme spanning multiple countries, business units, and stakeholder groups
• Develop and execute the transformation roadmap aligned with Capgemini's Insights & Data growth strategy and engineering objectives
• Lead a cross-functional programme involving HR, Finance, Commercial, Legal, Operations, Sales, Delivery, and Business Leadership teams
• Translate strategic business objectives into executable workstreams, milestones, deliverables, and measurable outcomes
• Establish and maintain programme governance frameworks, steering committees, executive reporting, and decision-making processes
• Serve as the primary interface between Capgemini executives, business leaders, account teams, and strategic technology partners
• Drive organizational change management activities and stakeholder adoption
• Build and manage integrated programme plans, dependencies, risks, assumptions, and resource requirements
• Lead executive-level communications, including board updates, steering committee materials, business cases, and investment recommendations
• Provide data-driven recommendations for strategic decisions, prioritization, and issue resolution
• Manage programme financials, including budget oversight, forecasting, cost management, resource planning, utilization tracking, and investment governance
• Identify, assess, and mitigate programme risks
• Establish KPI frameworks and performance dashboards to measure programme success and business impact
• Drive collaboration across international teams to deliver outcomes consistently and at scale
• Champion continuous improvement and operational excellence
• Support growth of Capgemini's AI, Data, and Engineering capabilities through workforce and capability-building initiatives

• Define and maintain DNS architecture, standards, and design patterns across authoritative and recursive DNS services
• Ensure DNS correctness, resilience, and performance under normal operation and failure scenarios
• Review and approve significant DNS changes and design decisions
• Act as the escalation point for complex or systemic DNS incidents
• Lead deep diagnostics across DNS protocol behaviour, routing dependencies, client resolver behaviour, and platform/runtime interactions
• Own DNS security design and assurance, including DNSSEC strategy and operational readiness
• Implement and govern policy-based controls such as response policy and filtering approaches
• Define telemetry and monitoring requirements for DNS services
• Improve operational readiness through diagnostics, runbooks, and failure scenario testing
• Provide DNS SME capability across multiple DNS delivery platforms, including open-source/software DNS servers and F5 BIG-IP DNS deployments
• Translate DNS service requirements into actionable inputs for platform/infrastructure teams
• Partner with platform, infrastructure, automation, and security stakeholders in a shared delivery environment

Senior DNS Engineer

Platform Engineer

• Work as a Kubernetes/DevOps Engineer on a large-scale social media platform processing petabytes of data daily
• Contribute as part of an R&D self-organized team in a challenging, innovative environment
• Obtain tasks from the project lead or Team Lead
• Prepare functional and design specifications and obtain stakeholder approval
• Provide estimations, agree task duration with the manager, and contribute to the project plan
• Update and optimize local and metadata models
• Resolve crisis situations within the assigned area of responsibility
• Understand business drivers and analytical use cases and translate them into data products
• Initiate and conduct code reviews
• Create code standards, conventions, and guidelines
• Suggest technical and functional improvements to add value to the product

Senior Kubernetes Platform Engineer

QA Engineer

• Build, integrate, and optimize AI solutions using LLMs, RAG pipelines, conversational AI platforms, and modern AI orchestration frameworks
• Develop GenAI applications using LLMs, embeddings, and RAG architectures
• Build and deploy chatbots, virtual assistants, and conversational workflows using Dialogflow CX and Copilot Studio
• Implement AI workflows using LangChain, LangGraph, and vector databases
• Optimize models for performance, latency, and cost
• Integrate AI solutions with Azure, AWS, and GCP
• Collaborate with product, engineering, and data teams to deliver reliable AI features
• Apply machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems
• Design solutions and support implementation of machine learning projects
• Assist in testing, deploying, and monitoring models in production environments

AI/ML Engineer, QA

DevOps Engineer

• Provide technical support for Kubernetes clusters, Port.io platform services, and Medtronic’s Argo DevSecOps platform
• Resolve customer issues and ensure system reliability
• Monitor the health and performance of Kubernetes clusters, Port.io, and Argo environments using Dynatrace, Prometheus, Grafana, and Kibana
• Investigate and troubleshoot networking, storage, security, and application deployment issues within Kubernetes
• Collaborate with development and operations teams to improve platform stability and automate routine maintenance
• Troubleshoot container images for teams experiencing issues running containers
• Manage and optimize Helm charts, Argo CD, Flux CD, YAML configurations, and other deployment artifacts
• Configure and maintain GitLab CI runners
• Develop and maintain support-process documentation, troubleshooting guides, and best practices
• Ensure timely incident resolution and communicate status updates to stakeholders
• Participate in an on-call rotation providing 24/7 support coverage

Analyst

• Requirements gathering and analysis
• Preparation of functional documentation
• Liaison with development teams
• Monitoring and functional validation of solutions
• Stakeholder support throughout the development lifecycle

Senior Functional Analyst

Computer Vision Engineer

• Desarrollar e integrar algoritmos de Computer Vision utilizando herramientas y frameworks de IA como YOLO/YOLOX
• Participar en el entrenamiento, validación y optimización de modelos de detección y clasificación de imágenes
• Desarrollar scripts y herramientas en Python sobre entornos Linux embebido
• Colaborar en el desarrollo software utilizando Python y C/C++
• Trabajar junto al equipo de I+D en la investigación, prototipado y evolución de nuevas soluciones tecnológicas
• Contribuir al diseño, entrenamiento e integración de modelos de visión artificial en plataformas embebidas

AI Engineer

• Define and drive AI adoption strategies using Power Platform and Dynamics 365
• Identify opportunities for AI to optimize business processes, including customer service automation and sales forecasting
• Align AI initiatives with business goals, KPIs, and ROI expectations
• Leverage Power Apps, Power Automate, and Power Virtual Agents to automate workflows and enhance decision-making
• Use AI Builder and Copilot AI to integrate machine learning models into low-code/no-code applications
• Implement Power BI for AI-driven analytics and reporting
• Ensure AI solutions integrate with Dataverse, Azure AI, Dynamics 365 Customer Insights, and external data sources
• Oversee data governance, security, and compliance using Microsoft Purview and Azure policies
• Define ethical AI frameworks and responsible AI practices
• Identify business processes for AI-driven automation using RPA in Power Automate
• Implement intelligent document processing, chatbots, and predictive analytics
• Enhance customer engagement through AI-powered chatbots and virtual agents
• Collaborate with business leaders, IT teams, and end-users to drive AI adoption
• Conduct training and change management initiatives
• Work with solution architects and developers to translate business requirements into AI-powered solutions

Power Platform AI Business Architect

• Design, develop, and deploy enterprise AI agents and multi-agent solutions using Google's AI ecosystem
• Leverage enterprise data, semantic models, and cloud services to deliver scalable, secure, and Responsible AI solutions
• Develop and deploy multi-agent solutions using Gemini and Agent Builder
• Design and implement RAG solutions leveraging EDW data and Looker semantic models
• Integrate AI agents with enterprise APIs, databases, and Google Cloud Platform services
• Optimize agent performance, orchestration, and user experience for business-critical use cases
• Implement Responsible AI practices, including governance, security, monitoring, and compliance controls

Agentic AI Engineer

Software Engineer

• Design, develop, and optimize Looker semantic models to enable trusted self-service analytics and AI-powered insights using Gemini
• Partner with business and data teams to migrate and enhance reporting capabilities from Power BI to Looker
• Analyze and map existing Power BI datasets, measures, and queries into Looker semantic models
• Develop and maintain LookML models, including views, explores, dimensions, and measures
• Optimize LookML performance, usability, and scalability
• Align semantic models with enterprise Knowledge Catalogs and governed Data Products
• Enable Gemini-powered analytics experiences through well-structured and trusted semantic layers
• Collaborate with Data Engineering and Business teams to ensure consistency and accuracy across reporting assets

Looker Developer

Data Engineer

• Design and build scalable data solutions powering analytics, AI applications, agents, and RAG ecosystems
• Develop and maintain scalable data pipelines and data products
• Curate and prepare enterprise data for AI, GenAI, agent-based applications, and RAG solutions
• Ensure data quality, lineage, metadata management, governance, and security standards
• Build agentic solutions to automate data discovery, transformation, and enrichment processes
• Collaborate with Data Science, AI, and business teams to enable production-ready AI use cases

CSV Specialist – AI-enabled systems

Director, I&D Transformation – Programs

Aeronautical FAL Engineer – Internship

Business Manager – Software Engineering

Director, I&D Transformation – Programs

Senior DNS Engineer

Senior Kubernetes Platform Engineer

AI/ML Engineer, QA

DevOps Engineer

Senior Functional Analyst

Computer Vision Engineer

Power Platform AI Business Architect

Agentic AI Engineer

Looker Developer

Data Engineer, AI Skills