NTT DATA Deutschland SE: AI Solution Architect (w/m/x)

Job description

Zur Jobsuche Startseite Stellenangebot: NTT DATA Deutschland SE: AI Solution Architect (w/m/x) bei NTT DATA Deutschland SE Das Wichtigste im Überblick Stelle ausschließlich für schwerbehinderte oder ihnen gleichgestellten Menschen Besondere Merkmale Homeoffice (bis zu 100 %) Arbeitsort verschiedene Arbeitsorte Angebotsart Arbeit Anstellungsart Vollzeit Beginn ab sofort Berufsbezeichnung KI-Manager/in Berufsspezialist/in - Künstliche Intelligenz und Maschinelles Lernen Leiter/in - Digitalisierung Info zur Bewerbung Vormerken Notiz / Status Notiz hinzufügen Bitte anmelden, um diese Funktion zu nutzen. Bewerbungsstatus hinzufügen Bitte anmelden, um diese Funktion zu nutzen. PDF / Drucken Teilen Veröffentlichungsdatum: Vor 4 Tagen veröffentlicht Stellenbeschreibung NTT DATA is a trusted global innovator of business and technology services, helping clients innovate, optimize, and transform for success. We strive to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. Overview: The AI Solution Architect designs fit-for-purpose AI solutions for qualified opportunities, aligned to client requirements, NTT DATA offering standards, commercial expectations, and delivery capabilities. This role owns the practical translation of client needs into solution blueprints, scope, work estimates, phasing, timelines, pricing inputs, SOW content, and delivery handoff materials. The AI Solution Architect partners closely with AI Consultants, Principal Architects, FDE, Delivery, Finance, Commercial, Sales, and ecosystem partners. #LI-AR2 Key Responsibilities: 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. Basic Qualifications: 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. Benefits: Flexible working hours with a flexitime arrangement; business travel time is considered working time 30 days of annual leave, plus December 24 and December 31 as additional non-working days The option to take a sabbatical of up to one year Remote work and mobile working from other EU countries Attractive benefits and compensation optimisation programmes, including an occupational pen