Top Artificial Intelligence Jobs in Munich

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship end-to-end product features, set technical direction, evaluate LLM reliability and trade-offs, and accelerate validated learning through close collaboration with engineering, product, and design teams.

Lead the architecture and implementation of AI-native product engineering systems, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step agentic features, and AI code-review optimization. Ship production software, establish technical direction, and partner with product and design teams to accelerate validated learning. The role requires strong backend and distributed-systems expertise, hands-on LLM product experience, and practical use of AI coding tools.

Join Welo Data’s Swahili contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic accuracy review. Applicants must be native or near-native Swahili speakers based in Kenya, Tanzania, or the Democratic Republic of Congo, with English proficiency, digital-tool comfort, and strong attention to detail. Projects vary in duration and compensation, with details provided before participation.

Leads the development and global implementation of an AI capability framework and learning curriculum for lawyers and Business Teams. Designs role-based learning pathways, practical AI training, reusable assets, and responsible-use guidance. Partners with senior stakeholders, subject-matter experts, facilitators, and regional teams to integrate AI capabilities into existing programs. Establishes evaluation measures, monitors adoption and outcomes, and supports a scalable operating model for AI learning and development.

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.

Own the DACH and Nordics enterprise sales territory, managing the full B2B SaaS sales cycle from pipeline generation through closing and account expansion. Build a $1M+ new-business ARR territory, maintain 4.5x pipeline coverage, exceed quota, develop executive relationships, and open enterprise segments across airlines, gaming, travel, and telecommunications. Collaborate with SDRs, marketing, partnerships, product, and customer solutions teams while delivering accurate forecasts. The role requires approximately 30% regional client travel and occasional London team visits.

Lead strategic, customer-facing value assessments and proof-of-value projects using Celonis Process Intelligence and AI integrations. Build demos and business cases, run value workshops, drive adoption and expansion, present realized value to C-level stakeholders, and collaborate with partners and product teams to scale process-improvement solutions.

Manage complex enterprise accounts throughout the sales cycle, from pipeline generation through AI product deployment. Develop account strategies, lead customer programs, own consumption revenue targets and forecasts, analyze account metrics, and advise executives on AI adoption. Collaborate with solutions, engineering, research, marketing, finance, product, and operations teams while contributing to customer events, company strategy, recruitment, and organizational growth.

Design legal AI tasks, datasets, workflows, and evaluation rubrics; assess system outputs for legal accuracy and usefulness; translate legal processes into agentic workflows; lead enterprise pilots and implementations; and support customer discovery, demonstrations, and go-to-market initiatives. The role requires close collaboration with AI researchers and engineers and offers broad ownership in an early-stage company.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

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.

Guide prospective customers through Camunda evaluations by mapping requirements to solutions, demonstrating product value, conducting technical Q&A, and developing evaluation plans. Partner with Account Executives and Solution Architects to qualify opportunities, execute presales engagements, support RFI/RFP responses, create technical content, implement code snippets, and drive product wins through consultative selling.

Manage Airbus Defence and Space’s AI use case portfolio from ideation through deployment and value realization. Responsibilities include designing intake and governance frameworks, prioritizing initiatives, developing business cases and KPIs, tracking ROI and portfolio performance, ensuring EU AI Act and Responsible AI compliance, conducting business discovery workshops, documenting processes and requirements, and supporting AI product roadmaps.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop efficient models and pipelines, improve search relevance and personalization, fine-tune existing models, monitor production performance, debug issues, and ship measurable quality improvements while balancing accuracy, latency, cost, privacy, and reliability.

Lead technical architecture for generative AI and LLM solutions serving digital-native customers across EMEA. Responsibilities include designing RAG and agentic systems, building Databricks-based proofs of concept, fine-tuning open models, developing evaluation and safety approaches, and operationalizing large-scale ML workloads. The role also mentors field engineering teams, influences product roadmaps, supports strategic customer engagements, and represents Databricks through workshops, conferences, blogs, and executive briefings.

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.

Build and lead n8n’s internal AI and automation enablement function. Run recurring workshops, office hours, build-alongs, bounty hunts, hackathons, and dogfooding initiatives for technical and non-technical teams. Develop reusable templates, measure AI fluency and adoption, support cross-functional champions, and act as product owner for a safe internal automation playground. Partner with IT, Security, Data, and Solutions Engineering to define access, credential, and environment requirements.

Evaluate AI-generated customer service and technical responses for clarity, usefulness, natural language, technical accuracy, JSON validity, formatting, and guideline adherence. Provide clear feedback explaining evaluation decisions. The role requires multilingual fluency, coding knowledge, strong written communication, attention to detail, and consistent judgment. Experience with AI evaluation, quality assurance, APIs, structured data, customer service, software development, or technical writing is preferred.

Own strategic enterprise client relationships and revenue across new and existing accounts. Build pipeline through outreach, partnerships, and referrals; engage senior technology and business leaders; lead discovery; shape AI transformation engagements with technical teams; manage proposals, negotiations, procurement, closing, and account expansion. The role focuses on selling complex, customized AI services and converting ambiguous transformation needs into long-term commercial engagements.

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.

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 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.

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.

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.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.