What you will do: 

• Desarrollar proyectos de IA enfocado al diseño 3D abordando tareas desde la conceptualización hasta la implementación y despliegue. 

• Diseñar e implementar modelos y soluciones automatizadas de IA utilizando Python y herramientas relacionadas. 

• Desarrollar sistemas de monitorización para controla el degradamiento de los modelos generados. 

• Creación de pipelines para el despliegue de modelos sobre Azure y automatizar el reentrenamiento de los mismos. 

• Trabajar con herramientas de diseño 3D, tanto paramétricas cómo no paramétricas como Freecad y Blender. 

• Aplicar algoritmos matemáticos en los sistemas de IA. 

• Evaluar y comparar modelos de inteligencia artificial. 

• Mantenerse actualizado sobre las últimas tendencias en IA y tecnologías Microsoft para integrar las mejores prácticas en los proyectos. 

Sede di assunzione: Roma, Milano, Bologna

Hai esperienza in progetti di Data Platform, Data Science o Artificial Intelligence come figura funzionale? Allora stiamo cercando te!  
 
In Avanade lavoriamo per fornire ai nostri partner le migliori soluzioni possibili sfruttando al meglio le tecnologie più all'avanguardia. In quest'ottica, stiamo potenziando il nostro team di business analyst in ambito Dati e Artificial Intelligence (Data&AI), capaci di apportare consistente expertise nell'introduzione, implementazione ed evoluzione di processi, strumenti e metodologie. 
 
Cosa farai: 
 
Come Business Analyst con esperienza in progetti in ambito di Data Platform e Data Science, ti specializzerai nella scrittura di analisi dei processi, analisi funzionali e modellazione di processi di business. Supporterai lo sviluppo e l'implementazione di soluzioni avanzate in ambito di Dati e di intelligenza artificiale (generative e non), migliorando processi e prodotti, e assicurando che il risultato sia pertinente, accurato e coerente con i requisiti condivisi dal cliente. Colmerai il divario tra business e tecnologia traducendo le esigenze aziendali in requisiti tecnici. 

As a Cloud Endpoint Consultant in our AI Workforce Practice, you'll have the opportunity to shape the future of secure, intelligent and AI-powered digital workplaces for some of the world's leading organisations. If you're passionate about endpoint management, modern device strategies, Windows 365, Azure Virtual Desktop, Microsoft Intune, security, automation, and leveraging the Microsoft Cloud to transform end-user experiences, you'll fit right into our team.

Come join us

You will be joining a high-performing team of Cloud Endpoint specialists focused on helping organisations modernise endpoint management, enhance security posture, enable hybrid work, and prepare for the AI Workforce era.

Our team delivers some of Avanade's most strategic and transformative client engagements, spanning Cloud PCs, Virtual Desktop Infrastructure, endpoint security, device lifecycle management, automation, governance, and Microsoft 365 platform transformation. Working closely with Microsoft, we help customers unlock the full value of their cloud investments through innovative solutions that are scalable, secure and future-ready.

By joining our team, you'll have the opportunity to influence enterprise-scale technology strategies, lead complex transformations, and contribute to solutions that improve how millions of people work every day.

What you'll do

• Lead and/or support with the architecture, design and deployment of Cloud Endpoint solutions, including Microsoft Intune, Windows 365, Azure Virtual Desktop, endpoint security, and device management capabilities.

• Define and implement modern endpoint strategies that improve user experience, security, compliance, and operational efficiency.

• Collaborate with clients to assess, design and deliver cloud-based endpoint transformation programmes.

• Advise customers on Modern Management, Zero Trust, endpoint security, AI-ready device strategies, and workplace modernisation initiatives.

• Drive automation and operational excellence through scripting, AI-driven productivity and remediation, infrastructure as code, endpoint analytics, and device lifecycle optimisation

• Support cloud migrations and transformation projects involving Microsoft 365, Entra ID, Windows 11, Windows 365, Azure Virtual Desktop and Microsoft Security solutions.

• Contribute to internal knowledge sharing, technical communities and capability development across the Cloud Endpoint practice.

• Stay current with emerging Microsoft technologies and industry trends through Avanade's strategic partnership with Microsoft.

• Contribute to thought leadership, client innovation workshops, and technical forums to strengthen Avanade's position as a market leader in Cloud Endpoint and Modern Workplace services.

Role Summary

Avanade India’s Data & AI practice is looking for an Agentic AI & Copilot Studio SME to lead client enablement and adoption for agent-based AI solutions built on Microsoft Copilot Studio and the wider Microsoft agent ecosystem. This is a training-led, client-facing role: the primary focus is designing and delivering structured skilling — instructor-led workshops, hands-on labs, train-the-trainer programmes and champion communities — for large organisations building and scaling agents.

What distinguishes this role from a platform-training role is agentic depth. You are expected to understand how agents actually work — orchestration and reasoning loops, tool and function calling, grounding and retrieval, memory and context handling, multi-agent patterns, evaluation and guardrails — and to teach Copilot Studio in that context rather than as a feature tour. You will build reference agents yourself, advise on live engagements, and be the person client teams escalate hard agent-design questions to.

Key Responsibilities

• Own the design and delivery of agentic AI and Copilot Studio skilling programmes for large enterprise audiences — curriculum design, instructor-led sessions, hands-on labs, self-paced content, assessments and certification pathways.
• Run train-the-trainer and champion-enablement programmes so client teams can sustain and scale agent development independently after the engagement.
• Teach agent design as a discipline, not a tool walkthrough — task decomposition, orchestration and reasoning patterns, tool/action design, grounding strategy, memory and context, human-in-the-loop checkpoints, failure modes and cost/latency trade-offs.
• Tailor content and depth to distinct audiences — business makers, pro-code engineering teams, and business and IT leadership.
• Build reference and demo agents in Copilot Studio — topics, generative answers, actions and connectors, agent flows, knowledge sources and multi-agent handoffs — to anchor training and seed client use cases.
• Design and maintain lab environments, sandbox tenants and exercise sets, keeping them current with the fast-moving agent-platform roadmap.
• Provide hands-on advisory on live engagements: agent design reviews, grounding and knowledge-source guidance, action/connector patterns, prompt and instruction design, testing and evaluation approaches, and go-live readiness.
• Advise on when to build in Copilot Studio versus a pro-code approach on Azure AI Foundry or an agent framework — and how the two coexist in a single client landscape.
• Establish evaluation and Responsible AI practice for agents: test sets and regression suites, groundedness and quality measurement, content safety, guardrails, human oversight and monitoring in production.
• Advise clients on agent governance and operating models — environment strategy, DLP policies, maker onboarding, publishing and approval workflows, agent lifecycle management, licensing considerations and usage analytics.
• Support use-case discovery workshops — identifying, qualifying and prioritising agent scenarios, and setting realistic expectations on what agents can and cannot do reliably.
• Act as the practice reference point for agentic AI enablement: build reusable training assets, playbooks, agent templates and accelerators, and mentor consultants joining the capability.
• Contribute to presales as the subject-matter expert — enablement approach, effort and duration estimates, demos and client-facing solution walkthroughs.