• Build RAG pipelines and agentic workflows using LangChain and LangGraph • Develop knowledge base chatbots with semantic search and conversation memory • Implement advanced retrieval strategies (Hybrid Search, HyDE, chunking) • Design multi-agent architectures (Agentic RAG, Self-RAG, Corrective RAG) • Integrate LLMs (Claude, GPT-4o, Llama, Mistral) via APIs and hosting platforms • Work with vector databases (Pinecone, Weaviate, PGVector) • Build solutions using AWS Bedrock, Agents, and Knowledge Bases • Set up evaluation (Ragas) and observability (LangSmith/Phoenix) • Deploy AI services using FastAPI, Docker, and OpenTelemetry

• Write and ship production AI code daily — you are an active contributor, not just an architect. • Architect agentic AI workflows using LangGraph — stateful, multi-agent workflows built for enterprise scale and reliability. • Own AI observability via LangFuse: tracing, prompt versioning, evaluation, and performance benchmarking across all model interactions. • Set AI engineering standards for agent design patterns, RAG, prompt management, context optimization, and tool-calling strategies. • Partner with product and platform teams to deliver AI architectures that meet enterprise SLA, security, and compliance requirements. • Evaluate and adopt emerging tooling— benchmarking LLM providers, orchestration frameworks, and agentic stack improvements. • Mentor engineers as a natural extension of your work — sharing knowledge through code reviews, pairing sessions, and design discussions, not through management overhead. • Represent Acquia's AI capabilities in customer architectural reviews, technical discovery, and roadmap conversations.

Role Description We are looking for a highly skilled AI Architect to design and implement intelligent automation systems that streamline workflows, eliminate bottlenecks, and improve operational efficiency across the business. This role will focus on integrating AI tools into existing processes and building scalable solutions that support decision-making and execution at scale. The ideal candidate combines strong technical expertise with business process thinking and can translate operational challenges into AI-powered solutions. Key Responsibilities - Audit current workflows, systems, and operational bottlenecks - Design AI-powered automation strategies across departments - Implement LLM-based workflows using modern AI tooling - Build integrations between internal platforms and AI systems - Develop intelligent assistants and internal copilots for teams - Identify opportunities to reduce manual work using automation - Support leadership with roadmap recommendations for AI adoption - Ensure scalability, reliability, and security of automation solutions - Document systems and maintain architecture standards Nice-to-Have Skills - Experience building internal AI copilots - Vector databases (Pinecone, Weaviate, Supabase Vector) - LangChain / LlamaIndex - Experience designing RAG pipelines - Experience working with operations or growth teams Success in This Role Looks Like - Reduced manual workflows across teams - Faster execution cycles through automation - Internal AI assistants supporting team productivity - Clear architecture documentation and scalable solutions Requirements - Proven experience designing automation systems using AI tools - Strong understanding of LLM workflows (prompt engineering, orchestration, agent logic) - Experience with tools such as: - OpenAI / Claude / Gemini APIs - Zapier / Make / n8n - Airtable / Notion / Retool / Supabase - Python or JavaScript (preferred) - Experience integrating APIs and third-party platforms - Ability to translate business problems into technical solutions - Strong systems thinking mindset

Role Description Du bist die technische Schlüsselfigur in Enterprise-Projekten auf AWS. Du sitzt mit Kunden zusammen, verstehst ihre Herausforderungen und entwirfst Lösungen. Dann orchestrierst du AI Agents, lässt Infrastructure as Code generieren, prüfst den Output kritisch und iterierst. Nicht Zeile für Zeile. Sondern Architektur für Architektur. - Du entwirfst hochverfügbare AWS-Architekturen und setzt sie mit AI-gestütztem IaC um. - Du arbeitest direkt mit Kunden an Cloud-Strategien und Migrationsprojekten. - Du nutzt AI CLI-Tools als Multiplikator: Claude Code, Cursor oder Gemini CLI. - Du mentorst andere Engineers und definierst technische Standards. - Du triffst Architekturentscheidungen und übernimmst Verantwortung für das Ergebnis. Qualifications - Mindestens 5 Jahre Erfahrung mit AWS und Cloud-Architekturen. - AWS Professional Zertifizierung oder vergleichbar. - Erfahrung mit mindestens einem AI CLI-Tool (Claude Code, Cursor, Gemini CLI). - Solide Kenntnisse in IaC (Terraform, CDK oder CloudFormation). - Sicherheitsbewusstsein für Enterprise-Anforderungen. - Du kannst komplexe technische Zusammenhänge verständlich kommunizieren. - Fließend Deutsch und Englisch. Benefits - Flexible Arbeitszeiten und 100% Remotearbeit. - Zugang zu AI-Tools und LLM-Keys. Nicht als Benefit, sondern als Arbeitsmittel. - Echte Enterprise-Projekte mit Ownership. Du baust Produkte, auf die du stolz sein kannst. - AWS-Zertifizierungen und Konferenzen. - Ein Team von ~30 Engineers, das Wissen teilt statt hortet. - Keine Folien-Kultur. Wir arbeiten an der Sache, nicht am Konzept. Company Description FNTIO sind AI-First Systems Engineers für Enterprise. Wir verbinden tiefe Cloud- und AI-Expertise mit Hands-on-Mentalität, um Produkte zu bauen, die Unternehmen wirklich transformieren. Keine Buzzwords, kein Body Leasing. Ergebnisse.