31 lug - Milano
Experteer Italy
ppAs an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, and agentic architectures, delivering in client engagements. You translate requirements into concrete architecture decisions and implement end-to-end components, ADRs, and integration specs. You collaborate with data and ML engineers to ground outputs in enterprise data and ensure security, observability, and reliability. This role offers growth toward lead or principal architect as you shape scalable AI solutions for business impact. /pulliequal opportunity employer /lililearning and certifications /lilicareer growth opportunities /lilirecognized as a World’s Best Workplace /liliArchitect, build, and deliver software components across the AI stack end-to-end /liliDesign AI agent architectures with prompts, tools, skills, multi-agent orchestration, and memory /liliPrototype and validate orchestration patterns for task handoffs, state management, and error handling /liliEvaluate design options balancing capability, cost, performance, and reliability /liliCreate evaluation strategies for agent/system quality (accuracy, relevance, faithfulness) and drive design improvements /liliIntegrate foundation models with suitable invocation, fine-tuning, RAG, and custom integration choices /liliDevelop model adaptation and fine-tuning pipelines leveraging transformer architectures /liliDesign the AI context layer with context graphs, ingestion pipelines, and retrieval to ground outputs /liliBuild embedding/vector storage and retrieval into end-to-end RAG pipelines connected to enterprise data /liliImplement context assembly and memory components for grounded,
accurate outputs /liliCreate reusable components and patterns to accelerate delivery across engagements /liliOptimize for cost, latency, and throughput; manage caching and resource usage /liliEnsure systems meet security, governance, and Responsible AI requirements with guardrails and PII handling /liliBuild governance features like versioning, audit logging, and lineage; document models /liliEmbed observability through logging, tracing, monitoring, and cost tracking for production health /liliProduce architecture artifacts (ADRs, blueprints, diagrams) to guide teams /liliContinuously learn and apply new AI design patterns and tech /liliCollaborate with data engineers, ML engineers, and application developers to translate requirements /liliExperience designing and deploying enterprise AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor /liliHands-on experience with Agentic, LLM, and Generative AI domains /liliProficiency in Python /liliStrong background in architecting and operationalizing LLM-driven application architectures /liliProfessional experience in engineering, ML, deep learning, and NLP applications /liliMultiple years as a ML architect delivering large-scale data and analytical solutions /li /ulpAs an hands‑on AI/LLM Architect, you design and build advanced AI systems for enterprise use. You work across classical ML, generative AI, a… /ppLeading careers For members only /ph3Take your next career step /h3p1M+ top positions worldwide with salary benchmarks /ppBe discreetly found and contacted by headhunters /ppExclusively for senior-level professionals and executives /p /p #J-18808-Ljbffr
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