Top Artificial Intelligence Jobs in Munich

Leads a distributed team transforming translational and biomarker data into standardized, FAIR-compliant, AI-ready data products. Responsibilities include defining data standards, metadata, semantic schemas, quality frameworks, APIs, and integration with enterprise data platforms. The role delivers analysis-ready datasets for precision medicine and biomarker discovery, automates curation and quality assurance, establishes multi-year data roadmaps, coordinates global stakeholders, manages budgets, and advances data governance across labs, studies, therapeutic areas, and partners.

Collects and analyzes satellite, LiDAR, and other geospatial imagery; uses GIS software such as ArcGIS or QGIS to segment land-use clusters; improves data analysis and validation methods; supports client data and AI model development for deforestation detection and EUDR compliance.

Supports a six-month master thesis studying organizational adoption and usage of artificial intelligence. Responsibilities include designing employee surveys, coordinating data collection, analyzing AI usage patterns and workplace dynamics, identifying strategy-implementation gaps, and preparing reports for organizational decision-makers.

Own product direction, roadmap, prioritization, discovery, delivery, launches, and performance outcomes across manufacturing technology products. Collaborate with firmware, cloud, UX, engineering, operators, and business stakeholders to translate customer needs into shipped products. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture. Use customer research, analytics, and continuous iteration to improve factory-floor outcomes.

Leads corporate communications across Germany, Denmark, and Belgium, focusing on external communications, media relations, PR, corporate reputation, CSR, stakeholder engagement, and executive communications. Develops market-specific communication strategies, manages media and agency relationships, coordinates events and CSR initiatives, supports internal communications and employer branding, and monitors reputational impact. Requires strong writing, storytelling, project management, relationship-building, and AI literacy skills.

Lead the data intelligence dimension of Agileday’s AI product by building AI-ready data foundations, predictive and recommendation capabilities, learning systems, feedback loops, and production data pipelines. Partner with founders and product teams to identify commercially valuable opportunities, shape architecture and quality standards, and move solutions from experimentation into reliable customer-facing products.

Advise state and local government customers on technology strategy, enterprise architecture, cloud, AI, cybersecurity, data, and workplace modernization. Build trusted relationships with executive technology leaders, translate business priorities into roadmaps, lead strategic technical discussions, and coordinate cross-functional Microsoft, consulting, sales, customer success, and partner teams to deliver digital transformation outcomes.

Designs, develops, deploys, and operationalizes AI and machine learning systems for automotive engineering and business operations. The role involves architecting scalable solutions, delivering generative AI and LLM applications, optimizing model performance, implementing MLOps and governance practices, collaborating across technical and business teams, and mentoring junior engineers. The position also requires leading experimentation, validation, system integration, and continuous improvement of production-grade AI solutions.

Lead Chainguard’s European government affairs and public policy strategy across the UK and Europe. Engage regulators, governments, standards bodies, and industry coalitions; develop policy positions and consultation responses; translate cybersecurity regulations into product, positioning, and customer implications; and establish a scalable policy function. The role requires senior stakeholder engagement, technical policy communication, frequent regional travel, and eventual team-building responsibility.

Acquire enterprise customers, especially venture capital funds, and help shape the commercial acquisition strategy. Build relationships with fund managers, GPs, CFOs, COOs, and angel investors; develop account, demand-generation, pricing, and closing plans; create ROI business cases; monitor competitive activity; and collaborate with Strategy, Marketing, and Customer Success to improve engagement, satisfaction, and retention.

Drive pipeline and bookings growth through strategic Global Systems Integrator partnerships across Europe. Develop joint business plans, coordinate enterprise sales pursuits, generate demand, strengthen executive relationships, expand partner-led services and platform adoption, and monitor performance through business reporting. Collaborate with Sales, Marketing, Product, Services, Finance, and alliance teams to execute go-to-market initiatives and deliver measurable revenue outcomes.

Drive enterprise sales of Microsoft Cloud and AI solutions for automotive and manufacturing customers. Assess opportunities, develop sales strategies, manage pipelines and forecasts, orchestrate cross-functional and partner teams, and guide stakeholders through secure AI transformation. Build executive relationships, align technology solutions with business outcomes, support customer success planning, and accelerate deal execution, adoption, renewals, and consumption growth across German enterprise accounts.

Drive net-new revenue and account expansion across enterprise telecom customers. Sell Elastic’s Search AI, observability, and security solutions through complex, value-based SaaS sales cycles. Build territory plans, develop pipeline, conduct deep discovery, negotiate contracts, forecast accurately, and partner with Solutions Architecture, Customer Success, Marketing, and RevOps. Advise technical and executive stakeholders on cloud economics, data architectures, AI, search, security, and observability use cases.

Leads the global HR technology and digital transformation strategy, including the transition from Workday to SAP SuccessFactors. Oversees HR technology governance, AI adoption, automation, analytics, data quality, digital workflows, employee self-service, and enterprise transformation programs. Builds and leads a high-performing digital HR function, develops organizational capability, drives adoption, and partners with senior HR, IT, and business leaders to deliver measurable improvements in HR efficiency, employee experience, and decision-making.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.

Supports an in-house consulting team through AI use-case analysis, technology benchmarking, competitive research, business-case development, operating-model design, change-management initiatives, and process automation. The intern helps prioritize strategic solutions, support Business Leads, remove organizational blockers, and accelerate adoption of AI-driven operational transformation.

Lead NVIDIA’s developer relations strategy across EMEA Smart Spaces and Local Government ISV ecosystems. Build partner relationships, deliver technical enablement, support integrations, guide startups, and drive adoption of NVIDIA AI and computing platforms. Collaborate with sales, solution architecture, engineering, product, and marketing teams; translate partner needs into product feedback; demonstrate AI solutions; and influence technical and commercial growth. The role requires deep AI/ML and generative AI expertise, technical collaboration skills, and experience scaling developer programs.

Leads financial planning, forecasting, budgeting, reporting, KPI management, variance analysis, and business partnering across the DACH region. The role provides financial insights to operational and commercial stakeholders, identifies profitability opportunities and risks, improves controlling processes, and supports business cases and investment decisions. It also leads finance transformation, automation, AI, business intelligence, and cross-functional projects while mentoring junior colleagues and enhancing reporting and analytical capabilities.

Supports People & Values operations by improving employee lifecycle processes, administering HR systems, maintaining documentation and policies, implementing automation, and managing contingent workforce contracts. The role partners with Talent Acquisition, Legal, Finance, and internal stakeholders to improve onboarding, ensure compliance, maintain data integrity, and deliver scalable employee experiences.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Owns Oviva’s long-term infrastructure and platform strategy, architecture, reliability, security, compliance, and operational excellence. Leads container platforms, delivery pipelines, observability, service identity, cloud and infrastructure vendor relationships, cost efficiency, and self-service engineering capabilities. Provides strategic counsel to leadership, mentors senior engineers, manages technical risk, establishes engineering standards, and drives automation and AI-enabled productivity improvements in a regulated healthcare environment.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Designs, builds, and operates production-grade agentic AI systems and orchestration frameworks. Responsibilities include prompt architecture, tool and API integrations, monitoring, evaluation, cost controls, reliability improvements, and governance documentation. The engineer collaborates with data science, data engineering, and governance teams to ensure reliable, compliant workflows using structured healthcare and pharmaceutical data.

Lead technology engagement for a global automotive customer, translating business objectives into technology strategies, architectures, roadmaps, and adoption plans. Act as a trusted advisor on cloud, data, security, AI, Zero Trust, and industrial transformation. Orchestrate Microsoft teams, partners, and customer stakeholders, develop account plans, create opportunities, resolve technical blockers, and guide executive decision makers across global factories, regions, and business departments.