Top Artificial Intelligence Jobs in Munich

Develops new business for AI-driven software solutions by identifying prospects, managing the full sales cycle, preparing proposals and tenders, negotiating contracts, and transitioning new accounts to delivery teams. The role builds customer relationships, maintains CRM records, supports revenue growth, attends relevant industry events, and expands professional networks. It requires IT sales experience, AI project expertise, knowledge of software development lifecycles, advanced English and German, and strong negotiation and communication skills.

Design, implement, and optimize high-performance attention and foundational AI kernels for GPUs, NPUs, ASICs, and other accelerators. Build reusable attention-framework abstractions, profile workloads, develop benchmarks and correctness tests, analyze hardware and compiler behavior, and improve production inference performance. Collaborate with hardware and software teams, document designs, resolve ambiguous performance issues, and mentor engineers while supporting new accelerator architectures and AI workloads.

Configure and tune AI agents for customer-specific documents and business processes. Drive post-go-live automation improvements, resolve AI-generated business logic questions, investigate root causes, and increase automation rates. Lead customer sessions, manage customer health and service consumption, identify expansion opportunities, and collaborate with consultants, engineers, data scientists, and product teams. Requires strong process understanding, analytical skills, customer communication, and fluency in German and English.

Lead Trade Nation’s data and AI strategy, with emphasis on deploying AI into business workflows and enabling measurable adoption. Own the data warehouse’s business-facing gold layer, semantic models, data quality, analytics engineering standards, and self-service analytics. Lead and develop data analysts while partnering with engineering, compliance, and senior stakeholders. The role requires financial services experience, strong SQL and data modelling skills, cloud data platform expertise, and the ability to deliver AI initiatives from concept through production.

Leads consultative discovery, technical qualification, solution design, executive presentations, and sales campaigns for AspenTech industrial software. Partners with sales teams to align technology with measurable customer value, develops industry-specific messaging, engages senior executives, provides product feedback, coaches sales personnel, and represents the company at industry events. Requires extensive industrial software or solution consulting experience, technical domain expertise, multilingual fluency, and European work authorization.

Serve as the founding customer-facing engineer for Kimchi, leading product demonstrations, customer workspace setup, inference API integrations, model routing optimization, and governance policy implementation. Configure agent workflows, integrations, budgets, cost attribution, and access controls. Translate customer feedback into product improvements while identifying opportunities for revenue expansion. The role combines hands-on LLM and inference expertise with customer enablement and commercial thinking in a remote-first environment.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Serve as a technical-strategic partner for AI Decisioning customers, leading use-case delivery from discovery through go-live and expansion. Collaborate with engineers, executives, marketers, and IT stakeholders to define requirements, explore customer data, recommend marketing improvements, manage project risks, and develop delivery best practices. The role also contributes to AI Decisioning product strategy and requires customer-facing consulting, strong communication, and 10–25% travel.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Lead and scale the engineering organization as it grows beyond 10 people across three teams. Responsibilities include redesigning organizational structure and career ladders, building technical recruiting processes, coaching managers and team leads, establishing performance and feedback rhythms, and contributing to architecture and system design discussions. The role partners closely with the CTO and supports AI-focused product and platform growth.

Negotiate complex commercial agreements for enterprise and public-sector customers in Germany and Switzerland. Advise Sales, Finance, Government Affairs, and cross-functional teams on technology contracts, data protection, security, compliance, and regulatory matters. Support corporate governance, lead legal projects, deliver compliance training, and act as a strategic business partner while managing multiple high-priority initiatives.

Build practical Codex workflows, integrations, automations, and developer tools for startups. Lead technical talks, demos, workshops, hackathons, and customer engagements to drive sustained adoption. Troubleshoot technical blockers, evaluate reliability, create reusable resources, and translate developer feedback into improvements for OpenAI’s Product, Research, and Engineering teams.

Designs complex Celonis enterprise solution architectures across data integration, process intelligence, automation, and AI. Advises executive customers, supports pre-sales, orchestrates AI deployment agents, ensures delivery quality, develops reusable architecture patterns, mentors deployment teams, and contributes to platform and practice development. The role spans multiple strategic engagements and requires deep domain expertise, executive presence, Celonis platform mastery, and strong technical consulting skills.

Design, build, evaluate, and deploy AI-powered software development workflows using Codex. Partner with enterprise engineering teams to move solutions from prototypes to reliable production systems, improve developer adoption and productivity, and address model behavior, integrations, security, reliability, observability, and operational readiness. Lead technical workshops, diagnose implementation challenges, and translate deployment insights into product feedback, reusable architectures, and technical guidance.

Manage multi-country payroll operations, compliance, audits, controls, vendor relationships, payroll analysis, and process improvements. Lead payroll system automation and scalability initiatives while ensuring accurate and timely processing across jurisdictions. Partner with finance, HR, treasury, and external providers, monitor regulatory changes, and mentor a global payroll team in a distributed technology environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Own the DACH market launch for Nebuly, generating pipeline through an established enterprise network and managing the full B2B SaaS sales cycle. Target mid-market and enterprise accounts with €100K+ ACV potential, navigate complex stakeholder groups, build business cases, negotiate, and close deals. Represent Nebuly at market events, collaborate with sales engineering and partners, and develop system integrator and advisory relationships. The role requires German and English fluency, strong enterprise relationships, technical sales ability, and experience closing large contracts without inbound or SDR support.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Lead complex enterprise customer engagements as the senior technical authority for data and AI strategy. Drive Databricks adoption, consumption, competitive displacement, and revenue growth through architecture, migrations, streaming systems, lakehouse platforms, and AI/ML solutions. Manage executive relationships, orchestrate cross-functional teams, mentor solutions architects, develop competitive strategies, and contribute to technical thought leadership. Weekly travel is required.

Owns Splunk’s global strategic account relationship with SAP, including account strategy, renewals, pipeline development, expansion, enterprise negotiations, forecasting, and long-term customer value. Builds executive relationships, leads international virtual teams across Splunk and Cisco, develops multi-year opportunities, positions security and observability solutions, drives adoption, and aligns customer priorities with commercial outcomes.

Work with strategic customers to design, prototype, and implement AI solutions on the Celonis Process Intelligence platform. Translate business needs into technical solutions (SQL, PQL, Python), build prototypes using generative AI and ML tools, present value to executives, ensure adoption and measurable ROI, and contribute reusable best practices to the Value Engineering Center of Excellence.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Build foundational systems for AI models across data modalities, develop agentic systems and specialized models, and implement reinforcement learning and active inference solutions. The role involves hands-on architecture and product development, requiring Python backend expertise, cloud deployment knowledge, DevOps practices, and the ability to contribute across the technical stack in an early-stage startup.