AI Solutions Architect

Summary

Our talented Data & AI Practice is made up of globally recognized experts—and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.

As an AI Solutions Architect within our Data & AI Practice, you’ll leverage a client-centric approach to translate our clients’ business strategy into solutions and services that lead to successful, impactful outcomes. You’ll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shaping the strategic direction around Data and AI architecture. Together we do what matters.

Key Responsibilities

• As an AI Solutions Architect assigned to a client project, you will work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts.

• Assist clients in their journey to Microsoft Azure or leverage their existing investment in it. You can expect a significant focus on applying cloud architectural patterns and migration strategies.

• Play a key role in Avanade's sales process with responsibility for shaping high-level solution designs, estimates, and contractual details for client proposals in collaboration with other subject matter experts.

• Engage in early conversations with clients and sales teams, support origination and deal qualification activities, and become a trusted advisor.

• Prepare and represent solutions in Deal Reviews and play an active role in Orals, Client Presentations, and negotiation discussions with key client stakeholders.

• Complete pricing activities using standard solution architecture processes, estimating methods, and modelling tools to drive quality and consistency.

• Ensure solutions are both deliverable and commercially viable while identifying and mitigating technical and delivery risks.

• Translate complex technical solutions into business outcomes for executives, customers, sales teams, and wider technical audiences.

• Provide coaching and mentoring to technical teams and support the growth of Avanade's AI and Data community.

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results.

Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities. 

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. 

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results.

Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities. 

Role Summary

As an Azure Infrastructure & DevOps Architect, you will lead the design and delivery of enterprise-scale Azure infrastructure solutions with automation and Infrastructure-as-Code at the core. You will be the technical authority on cloud migration, landing zone design, platform engineering, and DevOps transformation engagements — and as an early member of our India practice, you will also support pre-sales, solution shaping, and capability building.

Key Responsibilities

Solution architecture & delivery

• Architect end-to-end Azure infrastructure solutions: landing zones (CAF/Enterprise-Scale), networking, identity, security, and governance
• Lead datacenter-to-Azure migration programs, including discovery, assessment, wave planning, and cutover
• Design hybrid and multi-region architectures covering connectivity (ExpressRoute, VPN), resilience, DR, and backup strategies
• Define and enforce Well-Architected Framework standards across cost, security, reliability, performance, and operational excellence
• Establish "everything as code" delivery: all infrastructure provisioned and managed through IaC (Bicep, Terraform) with no click-ops in production
• Design and implement CI/CD pipelines for infrastructure using Azure DevOps and GitHub Actions, including automated validation, what-if/plan gates, and approval workflows

Pre-sales & business development

• Support RFP/RFI responses with solution architecture, effort estimation, and delivery approach
• Lead client workshops, technical presentations, and proof-of-concept engagements
• Shape Microsoft-funded engagements (assessments, pilots) and work with Microsoft field teams on co-sell opportunities

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results.

Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities. 

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.