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Advisory & Strategy AV
United States
Introduction:
Want to drive customer value with AI and turn your ideas into human impact? So do we.
At Avanade, we are breaking apart the traditional process of setting strategies and goals first, then finding technologies to achieve them. In the age of AI and rapid digital transformation, there’s no time for that linear process. We partner with clients to accelerate value by being ambitious, imaginative – and fast. We believe “big” and deliver personally. We relentlessly challenge, encourage, support our client partners and each other.
Come join us:
As the strategic and experience consulting arm of Avanade, our Advisory & Experiences practice ensures enterprise technology investments deliver real business results. We combine deep Microsoft expertise with strategic vision and human understanding to transform how organizations apply technology to accomplish their goals. Our approach is comprehensive yet practical: we develop strategies rooted in business objectives, design systems that humans actually want to use, and enable our clients to implement real solutions that drive measurable outcomes—from operational efficiency to productivity gains, sustainable growth, and breakthrough innovation.
What you’ll do:
Within Organizational Change Management (OCM), we guide clients through the journey from awareness to adoption for critical Artificial Intelligence, Enterprise Resource Planning, Customer Relationship Management, and Microsoft 365 transformations. Our consultants help our clients realize the full value of their Microsoft technology investments, aligning stakeholders around shared visions, developing and implementing tailored change strategies, leading communications and engagement efforts, assessing change impacts, and designing training programs that upskill workforces and drive sustained adoption. We measure what matters—tracking progress, surfacing insights, and adjusting strategies to ensure lasting impact. Microsoft is our medium, and we are masters of our craft—bringing unmatched product knowledge, strategic insight, and human-centered delivery to every engagement.
Software Engineering AV
United States
This position is open to candidates located anywhere in the United States. Candidates are welcome to work remotely or out of one of our regional offices.
We are seeking a highly experienced Azure Enterprise Architect with a strong full stack engineering background and deep expertise in Microsoft Azure cloud architecture, enterprise application modernization, AI/GenAI solutions, Infrastructure as Code (IaC), and large-scale delivery leadership.
The ideal candidate will possess 15+ years of progressive experience designing and delivering enterprise-grade solutions while leading distributed engineering teams across onshore and offshore models. This individual will serve as the primary technical authority for strategic initiatives, guiding architecture decisions, mentoring engineering teams, engaging directly with executive stakeholders, and ensuring successful project execution from inception through production.
This is a hands-on leadership role requiring deep technical expertise across cloud, application development, infrastructure, networking, DevOps, and AI platforms.
Responsibilities
Architect, design, and oversee enterprise-scale cloud-native solutions on Microsoft Azure aligned with business and technology strategies.
Lead architecture and delivery for complex full stack applications using modern frontend technologies including React, Angular, TypeScript, and mobile frameworks when required.
Provide technical leadership across backend platforms utilizing .NET, C#, Python, Node.js, microservices, APIs, event-driven architectures, and distributed systems.
Own end-to-end Azure architecture including networking, security, governance, identity management, observability, resilience, performance, and cost optimization.
Define and implement enterprise Infrastructure as Code (IaC) standards using Terraform, Bicep, ARM Templates, and Azure DevOps pipelines.
Lead architecture reviews, technical design sessions, and solution governance processes across multiple concurrent projects.
Drive application modernization initiatives, cloud migrations, and hybrid cloud integration strategies.
Guide engineering teams in designing and implementing AI and Generative AI solutions leveraging Azure OpenAI, Azure AI Services, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), vector databases, and enterprise AI architectures.
Establish architecture standards, engineering best practices, coding standards, security requirements, and cloud governance frameworks.
Collaborate closely with client executives, business stakeholders, product owners, program managers, and engineering leadership to ensure successful delivery outcomes.
Lead globally distributed teams including architects, developers, DevOps engineers, data engineers, and QA resources across onshore and offshore delivery models.
Drive Agile and Scrum practices while providing delivery oversight, risk management, estimation, roadmap planning, and technical project leadership.
Mentor architects and senior engineers while establishing a culture of technical excellence and continuous improvement.
Evaluate emerging technologies and develop strategic recommendations aligned with organizational objectives.
Ensure solutions comply with enterprise security, compliance, privacy, governance, and regulatory requirements.
Infrastructure AV
United States
Azure DevOps & GitHub Engineer/Architect
Avanade is looking for an Azure DevOps & GitHub Engineer/Architect at the Manager level. In this role, you will lead the design and implementation of modern DevOps solutions, cloud architectures, and software delivery platforms leveraging Azure DevOps, GitHub Enterprise, GitHub Copilot, and Microsoft Azure technologies. You will help clients define their AI-enabled engineering vision, translate business priorities into practical GitHub adoption roadmaps, and establish scalable, secure, and cost-conscious development and deployment ecosystems.
This role demands a blend of technical expertise, strategic thinking, leadership, and client coaching to guide teams through cloud, DevOps, platform engineering, and AI transformation journeys. You will advise leaders on responsible AI adoption, governance, usage measurement, cost management, and value realization while coaching engineering teams on GitHub Copilot best practices. You will remain hands-on in designing and optimizing CI/CD pipelines, GitHub Actions workflows, Azure DevOps services, source control strategies, infrastructure automation, and cloud environments.
Come Join Us
There is one in every group—the person who dreams big and has the motivation to bring their ideas to life, even as others might roll their eyes and prefer to play it safe. Are you that person?
Are you the one who isn’t afraid to break the mold and gets passionate about the power of digital to transform organizations and ways of working? We are building teams of people like that to help our clients unlock the power they need now and own what is next. Together, we do what matters.
What You’ll Do
- Define and lead Azure DevOps strategy aligned with enterprise and client objectives.
- Lead GitHub and engineering transformation strategies aligned with client and enterprise objectives.
Serve as a trusted advisor to business and technology leaders on GitHub-powered AI adoption, AI-enabled SDLC practices, DevSecOps, and software engineering modernization.
- Lead discovery sessions, assessments, workshops, and roadmap engagements with client stakeholders.
- Champion modern software engineering, DevOps, DevSecOps, and platform engineering practices across engagements.
- Design and implement GitHub Enterprise architectures, governance models, repository strategies, and operating frameworks.
- Architect and optimize GitHub Actions workflows, CI/CD platforms, and software delivery pipelines.
- Lead migration initiatives from Azure DevOps, Jenkins, Bitbucket, GitLab, and legacy toolchains to GitHub.
- Troubleshoot software delivery, deployment, source control, security, and infrastructure challenges across enterprise environments.
- Lead the adoption of AI-enabled software development practices across the software development lifecycle, leveraging GitHub Copilot and emerging AI engineering capabilities.
Advise clients on GitHub Copilot strategy, responsible AI governance, security, licensing, usage measurement, and cost management to improve adoption and business value.
- Establish adoption and value-realization frameworks that connect GitHub Copilot usage, license utilization, AI consumption, delivery outcomes, quality, and developer experience to measurable client goals.
- Guide clients in managing AI costs through fit-for-purpose model selection, efficient prompting and context patterns, usage guardrails, license optimization, and ongoing consumption reviews.
- Design and implement AI-assisted workflows for coding, testing, code review, documentation, troubleshooting, and developer productivity improvement.
- Develop reusable AI-enabled engineering accelerators, playbooks, and reference architectures that improve software quality, delivery speed, and engineering effectiveness.
- Partner with business, engineering, and technology leaders to identify, prioritize, and scale AI-driven transformation opportunities across the SDLC.
- Drive adoption of AI-enabled engineering practices utilizing GitHub Copilot and emerging software engineering capabilities.
Coach client leaders, engineers, architects, and developer champions on effective prompting, context management, human review, secure usage, and other GitHub Copilot best practices.
- Continuously improve reliability, security, governance, compliance, and operational effectiveness across software delivery platforms.
Data Analytics & AI AV
United States
You Are:
A Senior Manager who is part strategist, part consultant, and part hands‑on practitioner. You’re as comfortable in the boardroom as you are in a whiteboard session with architects. You shape complex deals, craft executive‑ready narratives, and lead multidisciplinary teams to turn agentic AI concepts into secure, production‑ready solutions on the Microsoft stack. You thrive at the intersection of client value, technical depth, and storytelling.
The Work
As a Microsoft-specialized Agentic AI Senior Manager in AMBG, you will lead origination and pre‑sales solutioning for high‑impact opportunities, steer C‑suite conversations, and provide technical leadership across the Microsoft AI platform. You’ll create compelling visions and roadmaps, architect solution approaches (from POV to pilot to scaled deployment), and orchestrate cross‑functional teams from Accenture, Avanade, and Microsoft to win and deliver transformative outcomes.
Key Responsibilities
Deal Shaping & Pre Sales Solutioning
Own end‑to‑end pursuit leadership for agentic AI opportunities: discovery, value hypothesis, solution blueprint, estimation, risk/RAI posture, and commercial constructs; partner closely with AMBG sellers and Microsoft field teams.
Translate business strategies into technical architectures using Microsoft 365 Copilot, Dynamics 365 Copilots, Copilot Studio, Azure AI Foundry (Azure AI Studio), Azure OpenAI Service, Azure AI Search, Azure AI Agent Service, Azure ML, and Microsoft Fabric.
Build defendable, scalable proposals and SOWs; align solution scope, staffing model, and delivery approach to client outcomes and risk profile.
C-level Storytelling & Executive Advisory
Craft crisp, board‑level narratives that connect industry problems to agentic AI outcomes; use data‑backed storytelling to secure executive sponsorship and funding. (Aligned to Senior Manager executive communication expectations.)
Facilitate exec workshops to shape transformation agendas, operating models, value cases, and governance for Copilots and autonomous agents.
Technical Leadership & Architecture
Define reference architectures and patterns for agentic workflows (planning, reasoning, tools, memory), orchestration, retrieval (RAG), evaluation, guardrails, and observability on Azure.
Guide teams building POCs and accelerators with Copilot Studio (low‑code) and Azure AI Foundry (pro‑code), including Prompt Flow‑based evals, content safety, and end‑to‑end MLOps/GenAIOps.
Ensure secure‑by‑design solutions across identity, data, Responsible AI, compliance, and lifecycle governance for enterprise deployment.
Delivery Readiness & Scale
Create phased roadmaps (POV → pilot → scaled rollout), acceptance criteria, KPIs, and value tracking to realize outcomes post‑sale.
Coach and upskill cross‑functional teams (strategy, industry, data/AI, Modern Work, Security) to deliver repeatable outcomes and reuse accelerators.
Ecosystem Orchestration
Operate as one with Accenture, Avanade, and Microsoft—co‑innovating, co‑selling, and co‑delivering; align to Microsoft programs and co‑funding where appropriate.
Travel may be required for this role. The amount of travel will vary from 05% to 100% depending on business need and client requirements.