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Data Analytics & AI AV
Germany
GenAI & Azure Architecture Client-Facing Consulting Role
We are looking for an AI Architect (Manager or Senior Manager level) to help scale and accelerate our AI and Generative AI (GenAI) offerings. In this role, you will design enterprise-grade AI solutions, guide clients through their GenAI journey, and shape the future of AI adoption across industries. This is a client-facing, architecture-led consulting role with global reach and impact.
You will work closely with solutioning, sales, and delivery teams across regions to architect AI and GenAI solutions using Azure AI Services, Azure OpenAI, Azure AI Search, and Copilot Studio. You will help clients move from experimentation to scalable, business-aligned AI adoption—bringing technical depth, architectural rigor, and trusted advisory to every engagement.
What You’ll Do (All Levels)
AI Architecture & Solution Design
Lead the design of end-to-end AI and GenAI solutions aligned to client strategy and measurable outcomes.
Define solution blueprints, reference architectures, and AI roadmaps for scalable, repeatable delivery.
Translate complex requirements into clear, well-architected solution approaches.
GenAI & Azure Technical Leadership
Advise on GenAI use cases including conversational AI, copilots, RAG, vector search, and emerging Agentic AI patterns.
Leverage Azure AI Services, Azure OpenAI, Azure AI Search, and Copilot Studio to shape automation and orchestration.
Client Advisory
Serve as a trusted advisor to business and technology leaders.
Lead architecture discussions, design workshops, and solution reviews.
Shape AI strategy, adoption plans, and future-state operating models.
Sales & Pursuit Support
Support sales pursuits through solution shaping, estimates, and executive-facing presentations.
Contribute to PoVs, demos, and proposal development.
Practice & Capability Building
Contribute to internal accelerators, best practices, and reusable components.
Mentor team members and support capability uplift in GenAI and Responsible AI.
Additional Responsibilities (Manager)
Managers focus on leading architecture workstreams and delivering high-quality solution designs:
Lead architecture components within larger programs.
Deliver solution designs, documentation, and implementation guidance.
Facilitate workshops, gather requirements, and support stakeholder alignment.
Contribute to proposals and solution narratives under guidance from senior leaders.
Additional Responsibilities (Senior Manager)
Senior Managers take on broader leadership and strategic responsibilities, including:
Strategic Client Leadership
Lead executive briefings and influence senior stakeholders.
Shape multi-year AI roadmaps and value realization frameworks (KPIs, OKRs, ROI).
Enterprise Architecture Ownership
Own end-to-end architecture across data, integration, security, identity, and model lifecycle.
Establish standards for RAG, orchestration, agent strategies, and AI governance.
Sales & Growth Leadership
Lead pre-sales architecture for major pursuits and create industry-aligned reference designs.
Shape commercial strategy, solutioning, and risk mitigation for large programs.
Delivery Governance
Oversee architectural integrity across programs, run design reviews, and manage risks and trade-offs.
Ensure adoption, value tracking, and scaled rollout across complex engagements.
Operating Model & Governance
Define AI operating models, platform strategy, SDLC/MLOps/LLMOps guardrails, and data access patterns.
Advise on Responsible AI, security, privacy, and Azure Well-Architected principles
Infrastructure AV
Germany
About Us
Avanade is a global leader in digital, cloud, and AI‑driven solutions. As a joint venture between Microsoft and Accenture, we are the world’s largest consulting company fully focused on Microsoft technologies.
We help our clients design, build, and scale innovative solutions across Cloud, Applications, Data & AI, and Security, based on a strong #PeopleFirst culture.
Your Role
As an AI Software Engineer (Full stack, Frontend, Backend) , you design, develop, and integrate AI‑enabled and Generative AI‑powered solutions into modern applications.
You work hands‑on across the full stack while applying AI technologies to enhance user experiences, automate processes, and deliver measurable business value.
Depending on your experience, you may also lead small development teams, mentor colleagues, and contribute to solution design and technical decision‑making.
You collaborate closely with product owners, designers, architects, and other engineers as part of multidisciplinary delivery teams.
Your Responsibilities
Design, develop, and maintain scalable, secure full‑stack applications
Integrate Generative AI capabilities into applications and development workflows
Design, develop, and deploy Generative AI agents to support automation and improved user interaction
Implement AI‑driven features using modern frameworks, APIs, and services
Collaborate with designers, product owners, and fellow developers to deliver high‑quality software
Participate across the entire software lifecycle, from requirements analysis to production deployment and support
Write clean, maintainable, and well‑tested code aligned with best practices
Troubleshoot, analyze, and resolve technical issues across applications and AI components
Stay up to date with emerging AI technologies and actively contribute to continuous improvement
Your Profile
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
2+ years of professional experience in software or full‑stack development
Hands‑on experience using AI and Generative AI tools in application development
Proven experience designing and deploying Generative AI agents or AI‑powered features
Strong experience with front‑end frameworks such as React, Angular, or Vue.js
Solid backend/API development experience with Python, .NET Core, Node.js
Experience with SQL and NoSQL databases (e.g. SQL Server, Cosmos DB)
Understanding of containers and container orchestration
Experience with Azure or other major cloud platforms
Solid understanding of REST APIs, microservices, and DevOps practices
Strong problem‑solving skills and attention to detail
Excellent communication skills and a collaborative mindset
Infrastructure AV
Germany
About Us
Avanade is a global leader in digital, cloud, and AI‑driven solutions. As a joint venture between Microsoft and Accenture, we are the world’s largest consulting company fully focused on Microsoft technologies.
We help our clients design, build, and scale innovative solutions across Cloud, Applications, Data & AI, and Security, based on a strong #PeopleFirst culture.
Your Role
As an AI Software Engineer (Full stack, Frontend, Backend) , you design, develop, and integrate AI‑enabled and Generative AI‑powered solutions into modern applications.
You work hands‑on across the full stack while applying AI technologies to enhance user experiences, automate processes, and deliver measurable business value.
Depending on your experience, you may also lead small development teams, mentor colleagues, and contribute to solution design and technical decision‑making.
You collaborate closely with product owners, designers, architects, and other engineers as part of multidisciplinary delivery teams.
Your Responsibilities
Design, develop, and maintain scalable, secure full‑stack applications
Integrate Generative AI capabilities into applications and development workflows
Design, develop, and deploy Generative AI agents to support automation and improved user interaction
Implement AI‑driven features using modern frameworks, APIs, and services
Collaborate with designers, product owners, and fellow developers to deliver��high‑quality software
Participate across the entire software lifecycle, from requirements analysis to production deployment and support
Write clean, maintainable, and well‑tested code aligned with best practices
Troubleshoot, analyze, and resolve technical issues across applications and AI components
Stay up to date with emerging AI technologies and actively contribute to continuous improvement
Your Profile
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
2+ years of professional experience in software or full‑stack development
Hands‑on experience using AI and Generative AI tools in application development
Proven experience designing and deploying Generative AI agents or AI‑powered features
Strong experience with front‑end frameworks such as React, Angular, or Vue.js
Solid backend/API development experience with Python, .NET Core, Node.js
Experience with SQL and NoSQL databases (e.g. SQL Server, Cosmos DB)
Understanding of containers and container orchestration
Experience with Azure or other major cloud platforms
Solid understanding of REST APIs, microservices, and DevOps practices
Strong problem‑solving skills and attention to detail
Excellent communication skills and a collaborative mindset
Infrastructure AV
Germany
About Avanade
Avanade is a global leader in digital and cloud services, business solutions, and design‑led applications. As a joint venture between Microsoft and Accenture, we are the world’s largest consulting company dedicated to Microsoft technologies.
We support our clients across Cloud, Modern Workplace, Business Applications, Data & AI, and Security, driven by our strong #PeopleFirst culture.
Your Role
As an Azure Cloud Engineer, you will design, implement, and operate modern cloud solutions on Microsoft Azure.
You work hands‑on with cloud platforms and services, supporting customers in building secure, scalable, and reliable environments while collaborating closely with architects, developers, and operations teams.
You contribute actively to cloud transformations, application modernization, and platform improvements, ensuring solutions follow best practices and operational standards.
Your Responsibilities
Implement and operate Azure cloud solutions, including compute, networking, storage, and platform services
Support the setup and evolution of Azure landing zones and cloud foundations
Provision and configure Azure resources using Infrastructure as Code (e.g. Bicep, Terraform, ARM)
Support application deployments and integrations across Azure services (e.g. App Services, Functions, AKS, data services)
Build a CI/CD pipelines and DevOps toolchains (e.g. Azure DevOps, GitHub)
Support cloud security and identity concepts (e.g. Entra ID / Azure AD, role‑based access, network security)
Troubleshoot and resolve operational issues across development, test, and production environments
Work closely with solution architects to implement architectural designs and standards
Contribute to documentation, technical guidelines, and operational handover
Your Profile
Practical experience working with Microsoft Azure in engineering or operations roles
Good understanding of cloud concepts, virtual networking, identity, and security
Experience with automation and scripting (e.g. PowerShell, Azure CLI)
Familiarity with Infrastructure as Code and version‑controlled deployments
Experience with CI/CD tools (e.g. Azure DevOps, GitHub)
Understanding of monitoring, logging, and operational best practices in cloud environments
Willingness to learn and grow toward more complex cloud and platform responsibilities
Ability to work in a team‑oriented, customer‑focused environment