Principal AI Strategist – Solution Architect

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AI Technology Partners

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11 - 50 Mitarbeiter

Gegründet 2020

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

AI Technology Partners ist ein B2B-Unternehmensberatungs- und Lösungsanbieter, der agentische generative KI-Systeme für mittelgroße bis große Organisationen entwickelt, implementiert und verwaltet. Das Unternehmen bietet sichere, unternehmensweite KI-Chatplattformen, maßgeschneiderte agentische Lösungen in den Bereichen Vertrieb, Marketing, Betrieb, Personalwesen, Finanzen und F&E, Entwickler- und IT-Enablement (privates Modell-Hosting, Vektor-Datensysteme, Governance) sowie Strategie-, Schulungs- und Change-Management-Dienstleistungen. Die Angebote betonen Sicherheit, cloudbasierte oder kundeneigene Implementierungen, Open-Source-Komponenten und ein Build-Operate-Transfer-Liefermodell zur Beschleunigung der KI-Einführung und des langfristigen Eigentums.

Beschreibung

• Act as a trusted advisor and senior engagement leader across client engagements, driving AI strategy, requirements analysis, and solution architecture. • Partner closely with executive stakeholders to identify high-impact opportunities, design enterprise-grade AI solutions, and guide successful implementation and adoption. • Serve as a senior, client-facing leader and trusted advisor to C-level and senior stakeholders. • Translate business objectives into clear AI strategies, roadmaps, and solution approaches. • Lead executive workshops, discovery sessions, and requirements analysis to define high-value use cases. • Build deep, long-term client relationships grounded in trust, value, and measurable outcomes. • Lead end-to-end solutioning efforts across pre-sales and early delivery phases. • Drive structured requirements analysis, translating business needs into scalable technical architectures. • Design and architect tailored, enterprise-grade AI solutions aligned to client goals, industry context, and constraints. • Partner on proposals, statements of work, and solution positioning. • Lead demos, proofs of concept (PoCs), and technical deep dives to accelerate decision-making. • Identify expansion opportunities and help shape new offerings and go-to-market strategies. • Own the architecture vision across client engagements, ensuring alignment from concept through implementation. • Design enterprise-grade generative AI solutions across cloud platforms. • Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks. • Lead architecture across LLM orchestration, RAG pipelines, vector databases, APIs, and AI gateways. • Ensure solutions meet enterprise standards for security, scalability, governance, and compliance. • Provide hands-on technical guidance and architectural oversight to engineering teams. • Act as the engagement lead, ensuring alignment across client stakeholders, delivery teams, and leadership. • Guide delivery teams through implementation while maintaining architectural integrity and business alignment. • Establish high-level governance, milestones, and success metrics. • Support successful operationalization, adoption, and value realization. • Ensure client outcomes are achieved without owning day-to-day delivery execution. • Stay at the forefront of the rapidly evolving AI landscape and bring forward new capabilities. • Contribute to internal IP, frameworks, and repeatable solutions. • Mentor and elevate internal teams on AI strategy, architecture, and delivery best practices. • Represent AITP as a thought leader in client engagements and industry conversations.

🎯 Anforderungen

• 10–15+ years of experience in enterprise technology, consulting, or solution architecture roles • Expert-level usage of generative AI tools such as Claude, ChatGPT, Gemini, Copilot, and others. • Proven experience designing and building AI solutions, including PoCs, MVPs, and production systems • Strong background in enterprise architecture, including cloud (Azure, AWS, GCP), security, networking, and integration patterns • Demonstrated success in client-facing roles with ownership of both pre-sales and delivery • Experience translating complex business requirements into scalable technical solutions • Experience with RAG architectures, vector databases, prompt engineering, and LLMOps/MLOps practices • Exceptional communication skills with the ability to engage both technical and non-technical stakeholders.

🏖️ Vorteile

• A highly collaborative, low-bureaucracy environment • Opportunity to shape the future of enterprise AI adoption • Meaningful, high-impact client work • A culture grounded in learning, growth, and innovation