Principal / Architect of AI Systems

vor 4 Wochen

Wien, Österreich Upstart AEC Vollzeit

We are seeking a Principal / Architect of AI Systems a hands-on technical visionary who will define, accelerate, and unify all AI-related initiatives across the organization. This is not a people management role; its a deep technical leadership position focused on building, experimenting, and shaping the future of AI integration across our ecosystem. This role blends research and implementation : part AI strategist, part hands-on builder, and part evangelist of best practices. The ideal candidate thrives on experimentation, stays ahead of emerging AI frameworks, and can translate innovation into production-grade systems that deliver real outcomes fast. Core Responsibilities Define and own the AI technical vision Set the overarching AI architecture and ensure consistency across teams and products. Guide how AI is designed, coded, tested, and deployed organization-wide. Stay on the bleeding edge Spend ~50% of time exploring emerging models, frameworks, and paradigms (LLMs, agents, orchestration layers, etc.). Identify opportunities for innovation and translate research into tangible prototypes. Build, validate, and ship Dedicate the other 50% to handson development building prototypes, validating architectures, and accelerating AI integration across projects. Design and test agentic systems, model orchestration layers, and AI infrastructure patterns. Evaluate and select technologies Drive tool selection for LLMs, frameworks, vector databases, embeddings, retrieval systems, and orchestration layers (LangChain, Bedrock, Azure OpenAI, etc.). Balance innovation with reliability, cost, and scalability. Accelerate delivery cadence Champion rapid experimentation cycles moving beyond slow, traditional sprints toward daily or near-daily delivery of AI outcomes. Instill a culture of visible, continuous improvement in AI development. Standardize best practices Define how AI coding, testing, and deployment should be done across the company. Establish reusable templates, pipelines, and architecture patterns. Mentor and evangelize Coach engineers and architects on responsible AI integration. Promote AI literacy and best practices across cross-functional teams. Ideal Background 10+ years in software architecture, ML systems, or AI platform engineering. Proven experience with LLM integration, agentic systems, and AI infrastructure. Deep technical fluency with tools such as LangChain, Azure OpenAI, AWS Bedrock, Vector DBs, RAG pipelines, and MLOps workflows. Strong foundation in data engineering, DevOps, and AI system orchestration. Demonstrated ability to ship prototypes fast not just theorize, but deliver. Track record of research-driven innovation and constant exploration of new models and frameworks. Key Mindset & Attributes Research-Driven Builder : Obsessed with learning, testing, and applying the newest AI advances. Execution-Oriented : Moves fast, experiments intelligently, and delivers tangible results. Anti-Bureaucracy : Rejects unnecessary process; favors agility and iteration. Cross-Functional Connector : Works fluidly with data, cloud, and app teams to unify vision. Thought Leader : Defines standards, drives technical discipline, and inspires AI excellence across projects. Ideal Candidate Profile A Principal AI Architect or Staff-level AI Engineer who combines strategic vision with handson execution capable of setting technical direction, architecting cuttingedge systems, and keeping the organization at the forefront of applied AI innovation. #J-18808-Ljbffr

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