ppDescrizione dell’offerta di lavoro Questa posizione è in Accenture Riassunto dell'opportunità da parte della Joinrs AI: Accenture cerca un AI Engineer con laurea in Informatica o discipline ingegneristiche affini. Il ruolo prevede la progettazione e sviluppo di componenti avanzati per sistemi AI, inclusi machine learning classico, AI generativa e sistemi agentici, all’interno di team globali e progetti clienti. L’offerta include un ambiente di lavoro dinamico e l’opportunità di crescita qualificato verso posizioni di lead engineer o architetto. Il processo di selezione sarà interamente gestito da Accenture. -- As a hands‑on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands‑on engineering role — you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements. You will take detailed architecture and design specifications and translate them into working, production‑quality software components. This means writing clean, well‑structured code, making low‑level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems — including individual agent logic, tool integrations, skills, and memory components — and contribute to the development and integration of foundation and classical ML models into end‑to‑end pipelines. A hands‑on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks — such as those spanning agent orchestration, vector storage, model serving, and ML pipelines — selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third‑party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise‑grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work — including low‑level design documents, component specifications, and integration contracts — ensuring your work is well‑documented, testable, and handoff‑ready. You will operate as a practitioner within cross‑functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem‑solving and design discussions within your domain. This role is an opportunity to build deep, hands‑on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting‑edge AI systems, and grow toward a lead engineer or architect role over time. THE WORK - Design, build, and configure individual agents — including their prompts, tools, and skills — and integrate them into multi‑agent workflows /p ul liImplement agent orchestration logic that handles task handoffs, communication, and error recovery /li liBuild evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements /li liIntegrate foundation models into applications,



selecting the appropriate model and invocation pattern for each use case /li liBuild and run model fine‑tuning pipelines — including data preparation and training — to adapt models to specific business domains, applying working knowledge of transformer‑based architectures /li liBuild ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval /li liImplement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end‑to‑end RAG pipelines /li liBuild the logic that assembles prompts and manages what information is passed to the model within its context window /li liImplement memory components that store and recall conversational history and other relevant context /li liImplement input/output guardrails, content filtering, and defenses against prompt injection /li liBuild PII detection and redaction components and integrate access controls for model and tool access /li liImplement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable /li liInstrument components with logging and tracing for requests, responses, token usage, and tool calls /li liContribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production /li liContinuously learn and apply new design patterns, technologies, and frameworks across the fast‑evolving AI landscape, bringing fresh approaches to the components you build /li liCollaborate within cross‑functional teams to clarify requirements and ensure your components meet stakeholder needs /li liCreate and maintain clear technical documentation for the components you build, supporting troubleshooting and future development /li /ul pEDUCATION - Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline /p pBASIC (REQUIRED) QUALIFICATION - Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor. /p ul liExperience (work or coursework) in the Agentic, LLM and Generative AI space. /li liExperience (work or coursework) architecting and operationalizing LLM driven application architecture patterns. /li liExperience in coding and engineering, machine learning, deep learning and NLP solutions and applications. /li liCoding experience using Python /li /ul pCompensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the Metalmeccanico National Collective Bargaining Agreement applies, with one of the following pay grades and corresponding gross annual salary range: /p ul liC3- €24,000 - €34,600 /li liB1- €28,500 - €45,300 /li /ul pAbout Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change,



with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Dichiarazione di pari opportunità di lavoro Crediamo che nessuno debba essere discriminato a causa delle proprie differenze. Tutte le decisioni relative all’assunzione saranno prese senza riguardo a età, razza, credo, colore della pelle, religione, sesso, origine nazionale, ascendenza, stato di disabilità, stato di veterano militare, orientamento sessuale, identità o espressione di genere, informazioni genetiche, stato civile, stato di cittadinanza o qualsiasi altra base tutelata dalla legge applicabile. La nostra ricca diversità ci rende più innovativi, più competitivi e più creativi, il che ci aiuta a servire meglio i nostri clienti e le nostre comunità. -- (#J-ENTERPRISE) /p h3Creare un avviso di lavoro per questa ricerca /h3 pDivisione Search Selection cerca un Software Developer per una realtà italiana nel settore della videosorveglianza e della sicurezza elettronica.La risorsa sarà inserita nel dipartimento Ricerca e... Mostra di più /p pVEL - Modelling and Simulation AI specialistApplylocations: IT - Venegono Superioretime type: Full timeposted on: Posted Todayjob requisition id: R **Job Description:****Leonardo** è un gruppo indu... Mostra di più /p pUn'azienda nel settore della sicurezza, situata a Saronno, cerca uno sviluppatore software esperto in C++ e Qt per lavorare nel dipartimento RD.Il candidato si occuperà dello sviluppo di prodotti p... Mostra di più /p pAccenture è alla ricerca di un Conversation AI Designer per progettare esperienze conversazionali end-to-end, inclusi chatbot, voicebot e assistant, con attenzione a Generative AI e integrazione co... Mostra di più /p pWe're in our #AI era, are you? In Avanade, in qualità di partner più esperto nella fornitura di servizi Cloud di Microsoft Azure e con il maggior numero di professionisti certificati Azure, lavoria... Mostra di più /p pUna società di servizi IT leader in Europa è alla ricerca di un Software Delivery Architect da inserire nella Direzione Tecnica.Il candidato ideale avrà un'esperienza di almeno 4 anni come Technica... Mostra di più /p pDescrizione dell'azienda /h3 pSopra Steria - fra i maggiori player tecnologici in Europa, con 50.Sopra Steria supporta i propri clienti nel loro percorso di trasformazione digitale, garantendo loro... Mostra di più /p pSopra Steria cerca un Data Engineer / Databricks Engineer con forte specializzazione su Databricks da inserire nel team Data AI.La risorsa progetterà, svilupperà e ottimizzerà pipeline dati end-to... Mostra di più /p pBusiness Application Senior Specialist a Busto Arsizio.Il candidato gestirà progetti IT complessi, garantendo la qualità e i tempi di consegna.Richiesta un'esperienza di almeno 5 anni, familiarità ... Mostra di più /p pUna società di consulenza IT cerca un Solution Architect specializzato in Data AI.Il candidato dovrà progettare architetture moderni e gestire pipeline ETL e ML/AI.Richiesti almeno 4-5 anni di es... Mostra di più /p pInvolve Space cerca un Generative AI Architect per guidare CLEAR, la piattaforma GeoAI generativa.Progetterai architetture cognitive, pipeline di addestramento e interazioni tra linguaggio, dati e ... Mostra di più /p /p #J-18808-Ljbffr

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