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AI Solution Architect (m/f/d) Generative AI & Agentic Systems at Deutsche Telekom Group

Frankfurt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Consulting, Architecture, Presales, AI, ML, Software Innovation, LLMs, Foundation Models, Agentic AI, Rapid Prototyping, Stakeholder Management, Communication Skills, AI Adoption, Cross-Functional Collaboration, Technical Roadmaps, Business Objectives

Industry

Telecommunications

Description

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 Proven experience in technical consulting, architecture or presales roles, preferably in AI, ML, or software innovation Strong hands-on skills with LLMs, foundation models, and agentic AI frameworks Expertise in rapid prototyping / vibe coding (e.g., Jupyter, LangChain, AutoGen, custom agents) Confidence and clarity in presenting AI strategies and technical roadmaps to C-level executives Ability to bridge technical execution with business objectives and strategic outcomes Strong communication skills and stakeholder management experience across technical and non-technical audiences Experience collaborating with enterprise clients and driving AI adoption from ideation to implementation Great knowledge of German and English languages (writen, spoken, reading) Design and build high-impact prototypes using LLMs, agentic AI architectures, and foundation models Collaborate with cross-functional teams to productize successful prototypes and scale reusable assets 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

Responsibilities

Lead customer conversations from a technical perspective, including needs analysis and architecture proposals. Own the technical presales process for enterprise-grade generative and agentic AI projects.