Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Löst Produktionsprobleme von Kunden end to end, diagnostiziert Fehlverhalten von KI-Agenten (Prompts, Wissensbasis, Config, Modell) und automatisiert Fixes.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
As a Senior Software Engineer specializing in the AI & ML ecosystem, you ll be a core contributor owning and evolving critical parts of Clic
Entwickelt und betreibt Backend-Services und APIs, die KI-Modelle und Inference-Systeme in ClickHouse-Produkte integrieren.
What to expect We are a startup digital agency, and no two projects, clients, or even days look the same.
Betreut Enterprise-Kunden technisch auf der Decision-Plattform, löst Probleme und automatisiert Support-Abläufe mit KI.
You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Design, build, and run agentic workflows across our delivery process - requirements review, automated checks and gates, early risk detection
Advise on AI trust and governance.
Führt Kundenprojekte in Automotive, Luftfahrt und Energie durch und entwickelt ML- und Deep-Learning-Lösungen für Engineering-Daten.
Entwickelt agentische KI-Lösungen, die ASIC-Entwicklungszyklen beschleunigen, z. B. VHDL-Generierung und automatisierte Testfallerstellung.
Verantwortet technische Ausrichtung und Architektur einer Virtual-Power-Plant-Plattform, inkl. Agent-fähiger APIs und Umstellung des Teams auf agentisches Engineering.
Drive applied research and technical direction across retrieval and ranking systems - Design and evolve multi-stage retrieval architectures
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
As a Forward-Deployed Engineer, you’ll own the end-to-end delivery of technically sound, low-code AI solutions for Aircall customers.
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Physical AI, Agentic AI, Data Science
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems. In this dual role, you will support both our internal transformation and client projects, guiding consulting teams and their clients in building future-proof target architectures for generative AI, including AI agent applications. You will translate business goals into Enterprise and Solution Architectures, derive Target Architectures from reference patterns, and guide delivery teams from PoV to production.
You will own cross-cutting concerns - identity, data, observability, reliability, cost – you will lead design reviews, architecture decision records (ADRs), and guardrails. Partnering with Backend, DevOps, AI Engineers, and Product core teams, you will ensure agentic/LLM components, services, and data flows form a coherent platform. Qualifications - Degree in Computer Science,Engineering, or equivalent experience - 6+ years of experience in architecting cloud software, with a proven track record of delivering production systems - Expertise in Enterprise Architecture and Solution Architecture, with clear artifacts and governance practices - Ability to derive a Target Architecture from reference designs and constraints - Strong understanding of non-functional requirements and guardrail implementation: security, observability, performance, reliability and cost - Proficiency in cloud and hybrid architectures (Azure, AWS, GCP): networking, IAM, data, secrets, policies, and private endpoints - Experience with MCP architecture and integration: designing MCP server topology, capability schemas, tool gating/permissions, auditing and tracability - Familiarity with patterns for agentic/LLM systems such as tool-calling, orchestration, evaluation loops and finetuning pathways - Expertise in API and integration architecture (REST, GraphQL, events), data contracts, versioning, and resilience - Excellent communication skills in English - Good development expertise with at least one programming language
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don t hesitate to contact me.
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Zur OriginalanzeigeKI in bestehende Software und Abläufe bringen: Agenten, RAG-Systeme, Schnittstellen, automatisierte Arbeitsketten.