ironquill.tech/board

$ cat jobs/senior-ai-architect-presales-delivery-m-f-d-nagarro1-821e56445385.json

Senior AI Architect - PreSales & Delivery (m/f/d)

Nagarro1·Worldwide·Munich, DE·senior
llm
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👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000 experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. Act as the lead technical advisor in presales engagements - running discovery workshops, shaping win themes, and building the technical narrative behind proposals and RFPs. Design end-to-end AI/GenAI solution architectures - from data and model layers to integration, security, and scalability - tailored to real client environments, not generic reference decks. Lead technical deep-dives, PoCs, and architecture reviews that build genuine client confidence, presenting complex AI concepts in language that resonates with both engineers and executives. Own solution design and technical delivery leadership on live projects - guiding engineering teams, making key architectural decisions, and staying close enough to the code to unblock hard problems yourself. Build and prototype AI/ML/GenAI components personally where it matters - you are expected to remain technically credible, not just strategically credible. Bridge client stakeholders, internal delivery teams, and Nagarro leadership - acting as the connective tissue that keeps commercial promises and technical reality aligned. Mentor engineers and consultants, and contribute to Nagarro's growing AI capability, accelerators, and reusable IP. Multiple years of relevant hands-on experience in software/AI engineering, solution architecture, or technical consulting, with recent deep exposure to AI/ML and GenAI technologies. Proven ability to architect and ship AI solutions in production - not just pilots - spanning areas such as LLM-based applications, RAG, ML platforms, MLOps, or intelligent automation. A track record of winning trust in front of client

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