Other roles that might interest you
Advisory & Strategy AV
Netherlands
Come join us
Technology only creates value when people embrace it. As part of Avanade's Organizational Change Management team, you will help some of the world's leading organizations successfully adopt new ways of working, from AI and Microsoft Copilot to broader digital transformation initiatives.
You'll join a collaborative and supportive team of change practitioners who are passionate about people, technology and transformation. We combine hands-on client work with a strong focus on learning, knowledge sharing and having fun together as a team.
What you'll do
- Support the design and delivery of change management strategies, activities and deliverables
- Conduct stakeholder and change impact assessments
- Develop communication, training and adoption materials
- Facilitate workshops, training sessions and stakeholder engagement activities
- Support digital transformation, Microsoft 365, Copilot and AI adoption initiatives
Example project you could work on
- Supporting a global organization with the adoption of Microsoft 365 Copilot and AI
- Designing communications and training for a workplace transformation programme
- Facilitating stakeholder workshops to understand change impacts across the organization
- Helping leaders and employees successfully navigate business and technology transformation
Data Analytics & AI AV
India
Role Summary
Avanade India’s Data & AI practice is looking for an Azure AI Foundry Architect to drive presales solutioning and technical architecture for generative AI and agentic AI solutions built on Azure AI Foundry, stepping into delivery leadership as engagements require. This is a client-facing role for someone who enjoys shaping opportunities as much as solving hard architecture problems — from client workshops and proposal-stage solutioning through to guiding implementation teams when needed.
Key Responsibilities
Lead presales solutioning for Azure AI Foundry opportunities — architecture proposals, effort estimation, solution demos, and client workshops — partnering with account and practice leadership on pursuits.
Design end-to-end generative AI and agentic AI solution architectures on Azure AI Foundry, including model catalog selection, Azure OpenAI Service integration, prompt flow/orchestration, and agent design.
Architect Retrieval-Augmented Generation (RAG) solutions — grounding data pipelines, vector search/indexing (Azure AI Search), and integration with enterprise data sources.
Define AI platform strategy, target-state architecture, and adoption roadmaps in collaboration with client stakeholders.
Step into delivery as needed to provide technical leadership on active engagements: solution design, architecture governance, design reviews, performance/cost optimization, and production readiness.
Establish architecture standards for Responsible AI, content safety, model governance, security, and observability across AI solutions.
Guide multi-agent orchestration design using frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph where applicable.
Act as a trusted technical advisor to client stakeholders, translating business requirements into scalable, well-governed AI architectures.
Mentor AI/data engineers and architects on project teams; contribute to reusable accelerators and IP for the practice.
Stay current with the Azure AI Foundry roadmap and broader generative AI ecosystem, bringing new capabilities into client proposals and solutions.
Data Analytics & AI AV
India
Role Summary
Avanade India’s Data & AI practice is looking for an Azure Databricks Tech Lead to drive the technical delivery of data estate, data lake, data warehouse, and data migration projects and programs built on Azure Databricks. This is a hands-on technical leadership role focused on execution — leading engineering teams through design, build, and deployment, ensuring engineering quality and delivery timelines, and acting as the go-to technical authority on live projects within the practice.
Key Responsibilities
Own technical delivery of Azure Databricks engagements — from solution design through build, testing, deployment, and go-live — across one or more concurrent projects.
Lead and mentor a team of data engineers, guiding design decisions, code quality, and best practices on Databricks-based builds.
Translate solution architecture into detailed technical design and implementation plans, working closely with Architects and Project/Program Managers.
Build and review Azure Databricks pipelines and components: Lakehouse (Delta Lake), Unity Catalog, Databricks SQL, Workflows, and integrations with the broader Azure data ecosystem.
Drive engineering standards — coding practices, CI/CD, testing, and performance optimization — across the delivery team.
Troubleshoot and resolve complex technical issues during build and post-go-live stabilization; own production support escalations where needed.
Track and report delivery progress, risks, and technical dependencies to project/program leadership.
Support estimation and technical inputs for ongoing and upcoming project phases within the practice.
Contribute to reusable delivery accelerators, patterns, and best practices for the Data & AI practice.
Data Analytics & AI AV
Sweden
Sammanfattning
Vill du hjälpa till att forma framtiden för AI-drivet arbete? På Avanade får du möjlighet att designa, bygga och implementera banbrytande generativ AI och agentisk AI-lösningar med hjälp av den senaste Microsoft-teknologin. Vi söker en innovativ och praktisk AI-ingenjör till vår Data & AI-verksamhet. I denna roll kommer du att arbeta tillsammans med kunder och multidisciplinära team för att utveckla intelligenta lösningar som löser verkliga affärsutmaningar med hjälp av Large Language Models (LLM), AI-agenter, automation och Microsoft AI-plattformar.
Den idealiska kandidaten kombinerar starka grundkunskaper inom mjukvaruutveckling och/eller data engineering med en passion för framväxande AI-teknologier och en vilja att ständigt lära, experimentera och innovera. Du kommer att bli en del av en livlig gemenskap av AI- och data-specialister, arkitekter, ingenjörer och konsulter som hjälper organisationer att förändra hur de arbetar genom generativ AI.
Om rollen
Som AI-Engineer kommer du att designa och utveckla AI-drivna applikationer, copilot och agentiska lösningar i Microsofts ekosystem. Du kommer att arbeta nära kunder för att förstå affärsutmaningar, identifiera möjligheter för AI-adoption och översätta krav till säkra, skalbara och produktionsklara lösningar.
Rollen kombinerar praktisk ingenjörskonst, lösningsdesign, snabb prototypframställning, kundnära konsultation och kontinuerlig innovation. Du kommer att bidra genom hela lösningens livscykel, från discovery och proof of concept till implementering, utvärdering och optimering.
Huvudsakliga arbetsuppgifter:
Designa, utveckla och distribuera AI-drivna applikationer och agentiska lösningar med hjälp av Microsoft AI-teknologier.
Bygga intelligenta agenter, copilots och arbetsflödesautomationslösningar med hjälp av Microsoft Copilot Studio, Microsoft 365 Copilot, Azure AI Foundry och relaterade tjänster.
Utveckla API:er, integrationer och backend-tjänster med hjälp av Python och moderna applikationsramverk.
Skapa proof of concepts och prototyper för att visa framväxande AI-förmågor och affärsvärde.
Implementera prompt engineering, orkestrering, grounding och retrieval tekniker för att förbättra AI:s prestanda och tillförlitlighet.
Bygga och optimera Retrieval-Augmented Generation (RAG)-lösningar och kunskapsåtervinning-lösningar.
Bidra till AI-lösningsarkitektur, teknisk design, utveckling, testning, implementering och dokumentation.
Delta i kundworkshops, discovery-sessioner, demonstrationer och tekniska diskussioner med både affärs- och tekniska intressenter.
Tillämpa principer för ansvarsfull AI, styrningskontroller och utvärderingsramverk genom hela AI-utvecklingslivscykeln.
Samarbeta med arkitekter, ingenjörer, konsulter, analytiker och kundteam inom agila leveransmiljöer.
Håll dig uppdaterad med framväxande AI-teknologier, verktyg, ramverk och branschtrender, och dela kunskap inom den bredare verksamheten.