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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.
Infrastructure AV
India
Azure Senior Technical Lead — Landing Zone, Terraform & Migration
Practice
Cloud & Infrastructure, Avanade India
Location
Bengaluru/Gurugram, India (Hybrid)
Experience
10–12 years overall in cloud infrastructure and platform engineering, with deep hands-on experience designing and provisioning Azure services through Terraform, building enterprise landing zones from scratch, delivering workload migrations, and leading a small engineering team
Role Summary
Avanade India’s Cloud & Infrastructure practice is looking for an Azure Senior Technical Lead to design and build enterprise Azure platforms for our clients. This is a hands-on technical leadership role for a seasoned Azure specialist — someone who designs the landing zone from scratch and then writes the Terraform that provisions it, rather than handing the design over to someone else.
You will lead platform workstreams end to end: target-state design, landing zone build, workload migration to Azure, and the security, governance and operational guardrails that make the platform safe to run at scale. You will lead a team of two to four engineers, own the technical quality of what they deliver, and act as the client-facing technical authority on the engagement.
Key Responsibilities
- Design enterprise Azure landing zones from the ground up, aligned to the Microsoft Cloud Adoption Framework and Well-Architected Framework — management group hierarchy, subscription and environment strategy, networking, identity, security, governance and operations.
- Design and provision Azure services hands-on using Terraform — authoring, structuring and maintaining modules, root configurations, remote state and provider configuration to a production standard.
- Lead a team of two to four engineers through the landing zone build — allocating work, reviewing code and designs, unblocking the team and owning the quality of what is delivered.
- Lead workload migration to Azure — discovery and assessment, wave planning, migration design (rehost, replatform, refactor), execution, cutover, rollback and post-migration optimisation.
- Design and configure core platform services: hub-and-spoke or Virtual WAN networking, hybrid connectivity (ExpressRoute/VPN), private DNS, Azure Firewall, routing, private endpoints, compute, storage and backup.
- Design identity and access for the platform — Entra ID integration, RBAC model, managed and workload identities, and privileged access.
- Define and implement platform governance — Azure Policy, initiatives and guardrails, management group structure, subscription vending, naming and tagging standards, and cost management.
- Establish security and operations baselines: Defender for Cloud, Key Vault and secrets management, backup and DR patterns, monitoring and alerting, and Azure Monitor/Log Analytics design.
- Own the DevOps set-up required to deliver the landing zone — repository and branching strategy, CI/CD pipelines for Terraform in Azure DevOps or GitHub Actions, plan/apply gating, approvals, secrets handling and drift detection.
- Set and enforce engineering standards — module design and versioning, repo structure, code review discipline, validation and security scanning (tflint, Checkov/tfsec or equivalent).
- Act as design authority on the engagement — chairing design reviews, resolving architecture escalations, reviewing the client architect’s design and pushing back where it is incomplete.
- Carry knowledge transfer to the client’s own team, and mentor and uplift Avanade engineers on the platform.
- Support presales and pursuits as the platform SME: solution architecture, effort estimation, migration approach, delivery plans and client-facing technical workshops.
- Contribute reusable Terraform modules, reference architectures and accelerators to the practice IP library.
Required Skills & Experience
- 10–12 years of overall experience in cloud infrastructure, platform engineering or infrastructure architecture, with a substantial recent focus on Microsoft Azure.
- Proven experience designing and building enterprise Azure landing zones end to end — designing the platform, not just consuming one someone else built.
- Deep hands-on expertise with Terraform — writing and structuring reusable modules, managing state at scale, handling providers and dependencies, and running Terraform in automated pipelines.
- Strong breadth across Azure configuration and operations: compute, networking, storage, databases, backup, monitoring, and the platform services that migrated workloads depend on.
- Strong Azure networking depth: hub-and-spoke and Virtual WAN topologies, ExpressRoute and VPN, NSGs/UDRs, Azure Firewall, Private Link and Private Endpoints, DNS design.
- Solid grounding in Azure identity, security and governance: Entra ID, RBAC, managed identities, Key Vault, Azure Policy, Defender for Cloud, and enterprise compliance requirements.
- Proven delivery of workload migrations to Azure at enterprise scale — assessment, wave planning, execution and cutover — from on-premises datacentres or other cloud providers.
- Hands-on DevOps capability for infrastructure delivery — Azure DevOps Pipelines or GitHub Actions, Git workflows, code review discipline and pipeline-driven deployment.
- Scripting capability in PowerShell and/or Python for automation, tooling and operational tasks.
- Demonstrated experience leading a small engineering team — allocating work, reviewing code and designs, and holding technical quality on medium-to-large engagements.
- Strong client-facing communication skills, including the ability to defend architecture decisions with senior client stakeholders and architecture review boards.
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.