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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Architect - **Company:** NTT DATA Deutschland GmbH - **Location:** Munchen, Germany (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Applications Architecture, Microsoft Azure, Cloud Computing, Information Technology Consulting, Information Engineering, Data Infrastructure, Software Engineering, Systems Integration, Google Cloud, Large Language Models, Snowflake, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Databricks - **Published:** August 6, 2026 - **Apply:** http://www.officebavaria.de/jobs/304488/ai-solution-architect-w-strich-m-strich-x-home-office#apply_form ## About the Role * 8+ years of experience in solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles. * 3+ years of experience designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions. * 1+ year of hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms. * Experience producing solution blueprints, work estimates, delivery plans, staffing models, assumptions, dependencies, SOW inputs, and pricing or commercial inputs. * Working knowledge of cloud, data, integration, application architecture, security, responsible AI, governance, and operational support considerations. * Bachelor's degree or equivalent work experience. * Fluency in German and English Preferred Skills: * Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling. * Experience supporting large pursuits, proposal development, pricing reviews, or delivery mobilization. * AI/ML, cloud, data platform, architecture, or security certifications. * Strong analytical thinking, commercial judgment, written communication, cross-functional collaboration, and client-facing presentation skills. * Ability to travel as required for client and internal engagements. ## Description * Design AI solutions aligned to client requirements, NTT DATA standards, and delivery capabilities. * Define scope, approach, solution blueprints, technical architectures, assumptions, dependencies, risks, and success criteria. * Build work estimates across roles, effort, skills, locations, tooling, platforms, and delivery dependencies. * Define workplan timelines, delivery phases, milestones, and MVP-to-scale implementation paths. * Partner with delivery, finance, and commercial teams to shape pricing inputs, deal economics, margin assumptions, and commercial options. * Support SOW development by defining scope boundaries, deliverables, acceptance criteria, dependencies, and change-control considerations. * Validate feasibility, implementation approach, resourcing model, integration complexity, data readiness, security, governance, and operational support requirements. * Incorporate partner platforms and models into solution designs where relevant. * Support technical Q&A, client demos, solution walkthroughs, proposal defense, and transition from pursuit to delivery. * Contribute reusable estimates, patterns, BOMs, workplans, solution artifacts, and lessons learned into the global AI GTM knowledge base. Success Measures: * Pursuit deal volume, measured as total TCV value of AI deals where the AI Solution Architect supported. * Pursuit win rate for AI deals where the AI Solution Architect supported. * Utilization or billability against target. * Estimate quality, solution feasibility, commercial accuracy, and successful handoff into delivery. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Got AI ideas but no money? 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