AI Engineer Consultant

Join avomind as an AI Engineer Consultant, where you will leverage your expertise in artificial intelligence to drive innovative solutions. Collaborate with a dynamic team to develop and implement cutting-edge AI technologies that enhance business processes and improve decision-making. Your role will involve analyzing complex data sets, designing AI models, …

Celonis is hiring an AI & Management Consulting Intern for the Value Engineering team in Munich, supporting the DACH market. This internship centers on projects that use advanced AI tools to improve how businesses operate. Key responsibilities Assist on consulting projects that apply AI to optimize business processes Help uncover insights that create value for clients in the DACH region Collaborate with experienced consultants and industry specialists Contribute to ongoing projects and build practical skills in management consulting What this internship offers Firsthand experience in value engineering at a technology-driven company Opportunities to work alongside experts in AI and business process improvement Active participation in projects with real, measurable outcomes

At Celonis, we are at the forefront of Process Intelligence technology and stand as one of the fastest-growing SaaS enterprises globally. Our mission is to revolutionize productivity by embedding AI and data within business processes, and we're seeking talented individuals to help us achieve this vision. Are you ready to make an impact?The RoleAs a Senior Management Consultant (AI & Data) - Public Sector, you will lead our initiative to enhance public sector processes, benefiting citizens, government agencies, and our planet. Collaborating closely with the Celonis Sales Teams, you will oversee the entire customer value journey, establishing yourself as a trusted advisor who helps clients achieve their strategic objectives and unlock substantial value through the Celonis Process Intelligence Platform. Partnering with our industry allies and Celonis Services, you will drive tangible business outcomes across various sectors, accelerating platform adoption. This role demands a unique blend of deep process expertise, knowledge of the public sector, and a robust consulting skill set, all set against the backdrop of one of the most dynamic tech firms worldwide.The Work You’ll DoIdentify & Frame ValueTranslate customer strategic priorities into impactful Celonis use cases.Create compelling demos and business cases utilizing industry benchmarks and best practices to attract new clients.Conduct Value Assessments or Proof-of-Value Projects and effectively communicate the value proposition and strategic roadmap to C-level executives.Realize ValueLead business value workshops and leverage Celonis to identify and validate process improvement opportunities.Formulate improvement strategies across core business functions and catalyze enterprise-wide change initiatives.Present findings and realized value to senior management and C-level stakeholders.Scale ValueOversee the entire customer value journey, ensuring successful onboarding, expansion, adoption, and renewal.Develop a strategic roadmap for customers, integrating the Celonis Process Intelligence Platform as a key business transformation tool.Provide insights to our product team to drive continuous improvement and alignment with customer needs.

Role Overview machinelearningreply is looking for an Agentic AI Software Engineer to join the team in Munich, Bayern. This role centers on building intelligent, production-ready systems using large language models (LLMs), autonomous agents, and scalable cloud infrastructure. The position involves close collaboration with clients to deliver practical AI solutions, with a focus on agentic and generative AI applications. Main Responsibilities Design, develop, and deploy scalable systems on cloud platforms such as AWS, GCP, or Azure. Build and manage agentic AI systems, emphasizing multi-step workflows, tool integration, and autonomous decision-making. Lead the implementation of AI-driven features from proof of concept through to production deployment. Create high-performance APIs and backend services for AI applications using frameworks like FastAPI, Flask, or Spring Boot. Integrate generative AI technologies, including LLMs, vector databases, RAG pipelines, and orchestration frameworks (such as LangChain or LangGraph), into enterprise environments. Design and maintain orchestration and retrieval pipelines to support scalable AI applications. Set up and manage MLOps and LLMOps pipelines, along with CI/CD workflows for integration, evaluation, and deployment. Ensure software quality through thorough testing, monitoring, observability, and performance tuning. Work closely with clients and cross-functional teams to gather requirements and deliver effective AI solutions. What machinelearningreply Offers Opportunities to contribute to innovative AI and software engineering projects across sectors such as Banking, Insurance, Automotive, and Retail. Growth in areas like MLOps, cloud architecture, data engineering, and generative AI. Collaboration with leading technology partners in cloud computing, AI, and automation. Access to training, certifications, and interdisciplinary project work.

Hawk builds AI-powered tools that help banks and payment providers detect money laundering and prevent fraud. The company’s technology combines regulatory standards with explainable AI, supporting AML compliance and reducing false positives. Clients around the world use Hawk’s solutions to spot criminal activity and strengthen defenses against money laundering, fraud, and terrorism financing. Hawk values trust, support, and professional growth within the team. Role overview As an Implementation Consultant for AI Fraud Detection, based in Munich, this position works alongside the Customer Success team to ensure seamless rollouts of Hawk’s AML and fraud prevention platforms. After contracts are finalized, the consultant partners directly with clients to understand their needs, adapt solutions, and guide the implementation process from initial setup to full operational handover. Client onboarding and needs assessment Meet with clients to gather and analyze business requirements and processes Assess risks associated with proposed solutions for both the client and Hawk Conduct detailed evaluations to identify AML and fraud prevention needs Provide recommendations on best practices and optimal system configurations Solution configuration and deployment Customize and configure Hawk’s AML and fraud prevention systems to meet client requirements Lead technical deployment and ensure integration with clients’ existing systems Support clients with thorough testing and troubleshooting to confirm solution performance Training and support Develop and deliver training sessions for client teams to help them use Hawk’s solutions effectively Create and maintain a library of training materials to support client onboarding during implementation

hawk seeks a Senior Generative AI Engineer based in Munich. This role centers on bringing new AI technologies into the company’s product line, with a focus on practical solutions for real-world challenges. Key responsibilities Collaborate with teams across hawk to design and implement generative AI features Use current AI tools and methods to enhance existing products and develop new offerings Provide technical expertise to projects aimed at solving concrete problems Role overview This position offers the chance to apply advanced AI techniques directly to product development. The work involves both improving what exists and shaping what comes next in hawk’s lineup.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower clients to seamlessly integrate our cutting-edge coding tools throughout their software development lifecycle. As trusted technical partners, we collaborate closely with engineering teams to incorporate Codex into their workflows. Our diverse clientele ranges from agile digital-native startups to large-scale global enterprises, and together, we enhance their software planning, building, and delivery processes.Role OverviewWe are on the lookout for an innovative and technically adept AI Deployment Engineer who is an enthusiastic user of AI coding tools and is driven to elevate developer productivity. In this role, you will work hand-in-hand with engineering leaders and practitioners to design, validate, and scale sophisticated AI workflows, employing Codex to prototype and create demonstrations, integrations, and automations that our customers will adopt.This cross-functional position merges technical architecture, product strategy, and customer engagement. You will collaborate with Sales, Solutions Engineering, Product, Applied Engineering, and the larger Codex team to represent customer needs, influence product direction, and expedite the successful implementation of intelligent coding systems across influential organizations globally.Key ResponsibilitiesAct as the primary technical expert on OpenAI Codex for a select group of customers, deeply embedding yourself to empower their engineering teams and enhance coding workflows.Collaborate closely with customers to design and execute AI-enhanced development workflows, from rapid prototyping to scalable production implementations.Create high-quality demos, reference implementations, and workflow automations, using Codex as an integral part of your development process.Facilitate large-scale workshops, technical deep dives, and practical enablement sessions that help engineering organizations effectively and safely adopt AI coding tools.Contribute technical resources, including examples, guides, patterns, and best practices, to the OpenAI Cookbook, aiding the wider developer community in leveraging Codex.Collect detailed product feedback from real customer deployments to translate into actionable product proposals and insights for internal teams.Shape customer strategy and influence decision-making by elucidating the role of AI coding tools in their software development lifecycle.

Celonis is seeking an Applied AI Solution Consulting Intern to join the team in Munich and support projects across the DACH market. This internship centers on practical consulting experience, with a strong emphasis on implementing AI-driven solutions that help clients optimize business processes. Key responsibilities Collaborate with experienced consultants to deliver AI solutions tailored for clients in the DACH region Take part in problem-solving sessions and project meetings Contribute to initiatives that aim to improve efficiency and foster innovation in business operations Location This position is based in Munich, Germany.

Join our dynamic AI & Data team at Roland Berger as a Consulting Intern. In this role, you will blend business acumen with cutting-edge quantitative techniques to assist clients in various industries in addressing challenges through data-driven solutions.As an integral member of project teams, you will engage in advanced analytics, contribute to the creation of practical strategies for clients, and develop compelling visual presentations of your findings. Your insights will play a crucial role in guiding significant business decisions and will be communicated directly to our clients. This position offers exposure to both the technical aspects of AI and data, as well as the strategic dimensions of consulting.We invite you to apply for a 4-6 month internship in one of our offices located in Munich, Düsseldorf, Frankfurt, Hamburg, Berlin, or Stuttgart.We particularly encourage applications from women and individuals from underrepresented backgrounds, as we believe that diverse perspectives enhance innovation and lead to superior outcomes for our clients, our team, and society.

JOIN US IN TRANSFORMING EDUCATIONBecome part of our mission to create the leading AI learning companion for 1 billion students worldwide.At Knowunity, we envision a future where quality education is accessible, enjoyable, and beneficial for every student across the globe. Founded in 2020 straight out of high school, we are dedicated to redefining the learning experience for students.Our innovative AI learning companion is already utilized by millions of students each week. Recently, we secured €27 million in funding—the largest education investment in Europe in the past three years. The AI learning sector is at a pivotal moment, enabling unprecedented personalization at scale, and we are determined to establish the first AI learning unicorn in this domain.Join our talented team of 60 passionate builders, committed to serving 1 billion students globally. If we realize our product vision, you will contribute to creating something transformative that will redefine education as we know it.Seize the opportunity to be part of a generational company.YOUR ROLEYou will have the chance to shape the future of student learning. Engineering is the heartbeat of our organization; it drives Knowunity's vision. You will take ownership of this educational revolution, focusing on:Innovative video content creation at scale with true personalization.Developing predictive models for topics to provide tailored guidance and personalization, tapping into the vast potential of AI.Creating diverse and guided learning practices to modernize the approach to student engagement.Implementing multi-modal outputs, moving beyond text-heavy formats to interactive cards, graphs, and practice elements.Understanding the learning styles of Generation Alpha and adapting our solutions accordingly.Exploring how AI companions can foster social learning and community among students.Quickly deploying A/B tests to millions of users to refine our offerings.YOUR IMPACT:Lead the end-to-end development of AI products that deliver tangible value to students across our extensive user base.

airapps is looking for an AI/ML Engineer in Munich to help shape the next generation of technology products. This position centers on developing and refining artificial intelligence and machine learning models that support the company’s product goals. What you will do Design and implement AI and machine learning models for real-world applications Work closely with colleagues from different teams to integrate models into products Focus on optimizing model performance and ensuring scalability Collaboration Expect to partner with cross-functional teams throughout projects, sharing knowledge and solving challenges together as new solutions are developed. Role overview This role offers the chance to work on projects that push technology forward, with a focus on practical results and continuous improvement.

About the RoleJoin OpenAI as a Partner AI Deployment Engineer (P-ADE) and play a pivotal role in driving technical execution with our partners throughout EMEA. Your main objective will be to facilitate the scaling of customer deployments leveraging the robust OpenAI platform. This position encompasses a diverse array of customer use cases, focusing on the design, implementation, and enhancement of production-grade AI solutions delivered via our partners.In this position, you will collaborate closely with partner delivery teams, Solutions Engineers (SEs), Forward Deployed Engineers (FDEs), and fellow ADEs to guide customer projects from initial design stages to stable, scalable production environments. Your contributions will expedite the realization of value, mitigate delivery risks, and ensure all solutions adhere to OpenAI’s stringent standards for quality, safety, and reliability. Engage with Go-To-Market (GTM), Applied, and Research teams to foster partner-driven enterprise adoption.This position is available in either Paris or Munich, utilizing a hybrid work model of three in-office days each week, with relocation assistance provided for new team members.Your Responsibilities:Serve as the primary technical delivery partner for OpenAI's partners across EMEA, facilitating customer deployments across various industries and use cases.Partner with delivery teams and customer stakeholders to transform solution designs into deployable, production-ready architectures on the OpenAI platform.Enhance customer time to value through hands-on prototyping, integration support, architectural guidance, and troubleshooting during critical delivery phases.Work collaboratively with SEs, FDEs, and other ADEs to ensure appropriate technical expertise is engaged throughout the design and production rollout phases.Assist partners in operationalizing solutions, addressing scalability, reliability, security, and safety considerations essential for enterprise production environments.Contribute to the development of reusable deployment patterns, reference architectures, and delivery guidelines that promote efficient execution across partner engagements.Act as a technical quality and governance checkpoint during deployments, ensuring solutions meet OpenAI’s standards and best practices pre- and post-launch.Gather and synthesize feedback from real-world customer deployments, sharing insights with Applied, Research, and partner teams to refine delivery playbooks and enhance platform capabilities.Ideal Candidate:Possess a minimum of 8 years of relevant experience in technology deployment, engineering, or a related field.

Join our innovative team as an Agentic AI Software Engineer. We are seeking a talented and driven individual who possesses a strong foundation in software engineering, complemented by practical experience with cutting-edge AI technologies. Your role will involve partnering with clients to design and implement sophisticated, production-ready systems that utilize LLMs, autonomous agents, and scalable cloud infrastructure.Key Responsibilities:Architect, develop, and deploy scalable, production-grade applications on leading cloud platforms such as AWS, GCP, or Azure.Create and manage agentic AI frameworks, incorporating multi-step workflows, tool integrations, and autonomous decision-making capabilities.Oversee the complete lifecycle of AI feature implementation, from proof of concept to full-scale deployment.Develop high-performance APIs and backend services for AI applications using technologies like FastAPI, Flask, or Spring Boot.Integrate generative AI solutions, including LLMs, vector databases, and RAG pipelines, into enterprise environments.Design and implement robust orchestration and retrieval mechanisms for scalable AI applications.Establish and maintain MLOps/LLMOps pipelines and CI/CD workflows for seamless integration, evaluation, and deployment.Ensure software quality through rigorous testing, monitoring, observability, and performance tuning.Collaborate effectively with clients and cross-functional teams to gather requirements and deliver impactful AI solutions.

Who We Are Helsing is a pioneering defense AI company dedicated to safeguarding our democracies. Our mission is to attain technological leadership, ensuring that open societies can make sovereign decisions and uphold their ethical standards. As participants in democratic societies, we recognize our unique responsibility to thoughtfully navigate the development and deployment of powerful technologies such as AI. We take this responsibility with utmost seriousness. We are a dedicated team of engineers, AI specialists, and client-facing program managers seeking mission-driven individuals to join our European teams and leverage their skills to tackle some of the most complex and impactful challenges. Our culture embraces transparency and open dialogue regarding the use of technology in defense, its advantages, and its ethical considerations. The Role As a Deployed AI Engineer, you will play a crucial role in ensuring that software makes a significant impact. You will be responsible for integrating cutting-edge software into complex systems, defining and executing the end-to-end process to deliver innovative capabilities in some of the most demanding environments. For instance, you will work closely with customer avionics engineers to comprehend the data structures and APIs utilized in aircraft mission control systems. Your contributions will be instrumental in enhancing our operational effectiveness.

About Our TeamAt OpenAI, our AI Success Engineer team collaborates with some of the most forward-thinking organizations globally to transform cutting-edge AI technologies into substantial business outcomes. We support our clients from initial deployment through to comprehensive enterprise adoption. Our work encompasses technical integration, workflow transformation, and ongoing program and product delivery.Our diverse clientele includes rapidly growing digital native companies, major global enterprises, government agencies, and educational institutions. Each engagement presents a unique chance to influence how AI enhances productivity, innovation, and the future of work. This role is pivotal to our mission.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for OpenAI's key customers. Your responsibilities include driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value through OpenAI’s platform.This position blends technical leadership, program management, customer advisory, and product influence. You will collaborate closely with customer teams, analyze workflows, lead configuration and enablement efforts, manage deployment strategies, and guide customers towards impactful use cases that highlight the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be crucial to ensuring a seamless and successful customer experience at every interaction. Success in this role will be defined by accelerated adoption, increased customer engagement depth, navigating strategic use cases into production, and assisting customers in demonstrating tangible business impact.This position is based in our Munich office, utilizing a hybrid work model (3 days/week in the office) and we offer relocation assistance for new hires.Your Responsibilities:Cultivate and maintain the technical relationship with post-sale customers, acting as their trusted advisor for deployment, adoption, and value realization.Manage account health, adoption rates, and ongoing technical success across your portfolio.Facilitate technical enablement and configuration sessions across our extensive product suite.Identify and validate use cases by integrating with customer teams to comprehend workflows and challenges.Lead coordination across multiple workstreams at the account level, including new product activations, change management, and customer readiness.

Internship Overview Roland Berger is seeking a GenAI Consulting Intern to join the team in Munich. This internship offers practical experience in generative AI within a consulting context. Interns work closely with experienced consultants and contribute to projects that explore new uses for AI technology. What You Will Do Support project teams on generative AI initiatives Assist with the development of data-driven strategies Help analyze emerging technologies and their business applications Collaborate with colleagues on innovative client solutions Who Thrives Here This internship suits individuals interested in new technologies and motivated to contribute in a team-oriented environment.

Mendix builds a low-code application development platform used by organizations worldwide to launch new ideas quickly. Since joining Siemens in 2018, Mendix has blended the scale of a global software company with the flexibility of a fast-growing team. The Solutions Engineer - Core AI position is available in several cities: London, Rotterdam, Amsterdam, Munich, Berlin, Erlangen, Frankfurt, or Stuttgart. This role centers on developing and scaling hybrid agentic workforces by combining low-code tools, AI, data, and system integrations. The goal is to help organizations efficiently create and orchestrate agents and applications. What you will do Design and build customer-facing prototypes and lighthouse projects to test and validate AI-driven integration scenarios. Lead strategic workshops and technical sessions with both customers and internal teams, focusing on agentic AI workflows and advanced integrations. Transform successful customer projects into reusable assets, such as reference architectures, blueprints, accelerators, and scalable patterns. Act as the technical lead for agentic system design, guiding tool selection, orchestration, and multi-agent strategies. Develop and manage complex integration architectures to ensure smooth operation across diverse platforms.

WHO WE AREAt Proxima Fusion, we are on a mission to revolutionize the future of sustainable energy. Our innovative approach, anchored in the cutting-edge W7-X stellarator, along with the latest technological advancements, is setting the stage for commercially viable fusion power plants.Our efforts in stellarator optimization, fueled by state-of-the-art computation and machine learning, are pushing the boundaries of fusion technology. We are unlocking new high-performance design points through high-temperature superconducting magnets.To seize this monumental opportunity, we are assembling a team of highly dedicated and passionate individuals who are committed to driving extraordinary change and radically transforming technology on a global scale.WHY JOIN PROXIMA FUSIONTackle some of the most intricate technological challenges to deliver abundant, safe, and clean energy worldwide.Collaborate with a remarkable group of accomplished and driven professionals.Experience the fulfillment of doing your best work while enjoying the journey.Demonstrate that significant advancements are achievable in Europe by uniting top talent.YOUR IMPACTAs a Junior AI Solutions Engineer, you will become an integral part of our Enterprise AI team, enhancing Proxima Fusion’s operational and technical workflows. You will play a pivotal role in identifying, designing, and deploying AI-driven automations that streamline processes across the organization. This position is ideal for a creator who flourishes in an agile environment and is eager to leverage the latest AI technologies to address real-world challenges at a rapid pace.WHAT YOU WILL DODesign and implement advanced automation architectures utilizing tools such as n8n, LangGraph, and Python, embedding LLM capabilities into the core of Proxima’s business and technical operations.Integrate AI workflows with existing data sources and tools, including Google Drive, Slack, project management software, and meeting infrastructure.Deploy and manage AI-driven microservices on Google Cloud Platform (GCP), utilizing Cloud Run, Vertex AI, and Vector Databases.Develop and optimize agentic workflows that incorporate REST APIs, MCP (Model Context Protocol), and multi-modal Generative AI.

Join Asana as a Solutions Consultant in our Munich office, where you will leverage your expertise to help clients adopt and maximize the potential of our AI Studio solutions. Collaborate with cross-functional teams to provide insights and tailor solutions that enhance productivity and drive success.

Join Mercura as an AI/LLM Engineering Intern!At Mercura, we are pioneering AI software that serves as the backbone of our economy. Supported by Y Combinator, we have successfully completed a significantly oversubscribed funding round, achieving one of the highest valuations in our cohort. As one of the fastest-growing startups in Europe, we proudly exceeded $2M in ARR within our first year. We are now on a mission to reach $10M ARR by the end of 2026 and are looking for dedicated team members who are ready to dive deep into this exciting journey.Our co-founder, Lukas, hails from a family with over 115 years of experience in the construction industry. Having worked on-site himself, he understands the persistent challenges in the industry, especially the slow and manual quoting processes. In an age where AI is becoming integral to industries, we are committed to enhancing human expertise and empowering individuals to focus on what only they can do.About the RoleAs an AI/LLM Engineering Intern, you will be instrumental in developing agentic AI systems from concept to deployment. This dynamic and hands-on position is ideal for engineers who possess a strong technical foundation, a proactive mindset, and a passion for innovation. You will be involved in creating robust AI systems that are production-ready—from retrieval and LLM orchestration to tool-using agents and seamless product integration.We hold our interns to the same standards as our full-time employees, entrusting them with ownership of projects and ensuring they are individuals we would want to collaborate with in the long term.If you are a passionate builder who thrives at the intersection of LLMs, data systems, AI, data engineering, and full-stack development, this is an incredible opportunity to influence how users engage with AI in practical workflows.Your ResponsibilitiesAgentic Systems: Design and develop LLM-powered agentic systems from experimentation to production deployment.Retrieval & Context: Create retrieval and context pipelines (RAG, hybrid search, structured retrieval) to facilitate reliable reasoning over vast amounts of technical and business data.AI Evaluations: Build evaluation and monitoring systems to assess and enhance AI performance in an operational environment.Data Pipelines: Construct scalable pipelines for processing and structuring large volumes of unstructured documents and data.