AI Solution Architect (m/w/d) Generative AI & Agentic Systems at Deutsche Telekom AG
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

AUFGABE

We are looking for a hands-on, entrepreneurial architect with a strong strategic mindset to drive the shaping and delivery of generative AI and agentic AI projects. This role combines technical prototyping, client engagement, and executive-level communication – ideal for someone who thrives in dynamic environments, excels at rapid prototyping with LLMs and foundation models, and knows how to convey complex AI solutions to both technical and business stakeholders, including C-level executives

Responsibilities
  • Client Engagement & Leadership
  • Lead customer conversations from a technical perspective – needs analysis, architecture proposals, and feasibility assessments.
  • Build trust and credibility with enterprise clients through hands-on demonstrations, PoCs, and technical deep dives.
  • Present and articulate AI solution strategies to C-level stakeholders, translating complex technology into business impact.
  • Own the technical presales process for enterprise-grade generative and agentic AI projects.
  • Partner with sales and leadership teams to define AI-centric value propositions and identify viable use cases
  • Rapid Prototyping & Demo Creation
  • Design and build high-impact prototypes using LLMs, agentic AI architectures, and foundation models
  • Use vibe coding techniques for quick iteration, live demos, and real-time experimentation.
  • Collaborate with cross-functional teams to productize successful prototypes and scale reusable assets.
  • Technical Consulting & Enablement
  • Act as a technical advisor across key strategic accounts, guiding clients through the AI adoption journey.
  • Provide architectural guidance on integrating generative AI solutions into existing enterprise systems.
  • Support knowledge transfer and internal enablement for AI adoption and experimentation across teams.
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