Assago, Lombardy, Italy · On-site
$32k–$66k/yr
AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power th…
Skills: AI Architecture, Large Language Models, Generative AI, Python, RAG
Assago, Lombardy, Italy · On-site
$32k–$66k/yr
YOU ARE As a hands-on Infrastructure Architect, you are an experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing and optimizing the AI and machi…
Skills: AI Infrastructure Architecture, GPU Cluster Design, Kubernetes, Docker, Python
Assago, Lombardy, Italy · On-site
$32k–$66k/yr
YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI…
Skills: Machine Learning, Deep Learning, Generative AI, Large Language Models, MLOps
Assago, Lombardy, Italy · Hybrid
$47k–$87k/yr
Additional Job Description Ask yourself this. Are you on a solo sales mission every day that’s full of dead ends, little support, and tired technology? Walk away from that mission impossible and get back to what you’re p…
Skills: Consultative Selling, Global Forwarding, Supply Chain Management, CRM Proficiency, Strategic Selling
Assago, Lombardy, Italy · On-site
$33k–$40k/yr
Descrizione dell'azienda Chi è Sopra Steria Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digita…
Skills: Databricks, Python, Delta Lake, ETL/ELT, Data Modeling
Assago, Lombardy, Italy · On-site
$45k–$55k/yr
Descrizione dell'azienda Chi è Sopra Steria Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digita…
Skills: Cloud Architecture, Data Pipelines, Artificial Intelligence, Generative AI, Python
Assago, Lombardy, Italy · Hybrid
$35k–$43k/yr
Descrizione dell'azienda Chi è Sopra Steria Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digita…
Skills: Banking Processes, Insurance Processes, AML, DORA, Business Analysis
Assago, Lombardy, Italy · Hybrid
$35k–$44k/yr
Descrizione dell'azienda Chi è Sopra Steria Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digita…
Skills: Integration Design, REST, SOAP, Java, Backend Development
Assago, Lombardy, Italy · Hybrid
$33k–$40k/yr
Descrizione dell'azienda Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digitali e per le sue sol…
Skills: Business Requirements Gathering, Functional Analysis, Functional Testing, Corporate Banking, Data Analysis
Assago, Lombardy, Italy · On-site
$33k–$40k/yr
Descrizione dell'azienda Chi è Sopra Steria Sopra Steria - fra i maggiori player tecnologici in Europa, con 51.000 dipendenti in circa 30 paesi - è riconosciuta per i suoi servizi di consulenza, per i suoi servizi digita…
Skills: Google Cloud Platform, AWS, SQL, Python, ETL/ELT Pipelines
Assago, Lombardy, Italy · Hybrid
Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, g…
Skills: Market Research, Quantitative Research, Project Management, Questionnaire Design, Data Analysis
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Design and build advanced AI systems, focusing on agentic architectures, RAG pipelines, and the AI context layer for enterprise clients. Produce technical architecture deliverables including ADRs and component diagrams while collaborating with cross-functional engineering teams.
Requires a Bachelor's degree and proven experience deploying enterprise-grade AI/ML solutions using Python and cloud platforms. Must have a strong background in LLM application patterns, deep learning, and large-scale analytical engineering.
Career Level: Associate Manager / Specialist
YOU ARE
As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.
You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures — including multi-agent orchestration, tool use, skills use, and memory systems — and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.
You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.
THE WORK
Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands-on practitioner
Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices
Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping
Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability
Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements
Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs
Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization
Design and build the AI context layer — including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge
Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources
Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs
Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements
Design for cost efficiency and performance — optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives
Design, build, and validate systems against enterprise non-functional requirements — implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI
Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable
Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutions remain healthy, performant, and scalable in production
Produce detailed architecture artifacts — including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams — that guide and enable broader engineering teams
Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability
Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs
EDUCATION
Bachelor's Degree or equivalent
BASIC (REQUIRED) QUALIFICATION
Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
Practical experience in the Agentic, LLM and Generative AI space.
Well versed in coding using python
Solid foundation in architecting and operationalizing LLM driven application architecture patterns.
Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications.
Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.
Compensation 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:
B2-€ 32,000 - € 50,500
B3- € 36,000 - € 65,800
Visit us at www.accenture.com
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.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.
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There are currently 31 open consulting positions in Assago, Italy listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Sopra Steria Group, Accenture, C.H. Robinson, Nielsen, among others. Browse the listings above to see every active employer.
Yes — 11 of the 31 open consulting positions offer remote or hybrid work (0 remote, 11 hybrid).
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