AI Associate (all genders) - BCG Platinion

You want to use AI to transform how companies operate, make decisions, and grow? Then join us in shaping the next generation of AI-driven architectures for leading organizations worldwide. Design agentic platforms, autonomous delivery pipelines, and intelligent systems that translate enterprise knowledge into scalable business impact. Bring your unique strengths to our distinctive team – one that consistently supports each other. As part of the Boston Consulting Group, we drive innovation from the boardroom to the code.Shape the world of tomorrowYou will contribute to the design of AI-driven target architectures – from LLM orchestration and agentic AI to harness engineering in autonomous software factories such as the “Agentic Software Factory” – and learn how to integrate these approaches into enterprise landscapes in a scalable way with measurable business impactYou will develop rule sets, toolchains, evaluation frameworks and CI/CD integrations that govern the behavior of coding agents across the entire SDLCYou will build modern software delivery approaches: from DevSecOps and CI/CD pipelines to automated testing and platform engineering in an enterprise contextYou will work directly with clients to translate business intent into precise, testable specifications that agents can executeYou will support the design of evaluation and governance mechanisms that ensure AI systems are secure, transparent, and compliant with enterprise standardsYou will communicate architectures and results clearly and convincingly – to both technical teams and business stakeholders on the client sideThis is how you can make a differenceYou have completed (or are about to complete) a degree in computer science, business informatics, business mathematics, mathematics, AI engineering or a related field You have hands-on experience with AI coding agents (e.g., Claude Code, Cursor, Codex, or similar) – for example through academic work, internships, university projects or personal experiments You understand concepts such as agent loops, evaluation and observability, MCP, deep agents, or AI-native architectures – and you are motivated to dive deeper Ideally, you have initial experience with agent evaluation, observability tools (e.g., Langfuse, LangSmith) or orchestration frameworks (e.g., LangChain, LangGraph) You enjoy tackling complex digital challenges and are enthusiastic about developing and communicating solutions You thrive in interdisciplinary teams and global environments and are flexible and willing to travelYou are fluent in both German and English and can confidently understand and communicate complex topics in both languagesHow you can grow with usWe guarantee constant new development incentives in an open and rewarding work environment. You'll face challenges every day together with a dedicated team of talented colleagues. Individual training offers and a culture of open feedback will provide the framework you need to explore and perfect your own strengths. Our modern structures enable you to stay focused. This includes easy travel booking, our excellent back-office support and a comprehensive Knowledge Center. With our regular office Fridays and legendary events, we cultivate a strong and close team network from which you will also profit beyond your case work. To support your growth in the AI space, we provide state-of-the-art hard- and software infrastructure for AI-powered work, as well as a comprehensive AI enablement training program that equips you with the skills to thrive in an AI-driven world.Become part of our teamBCG Platinion is an Equal Opportunity Employer and actively promotes diversity and inclusion. We consider all qualified applicants regardless of ethnic and social background, age, gender, sexual identity, religion, ideology or disability.Apply now with your CV, an informative project list and all relevant references via our online portal or contact Leonie Kutschera-Gross (+49 221 58958-555) if you have any questions.Further information at #BCGPlatinionJob SummaryJob number: 789Profession: Technology and Engineering