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Avanade

Digital transformation, cloud, and IT consulting.

AI and Data Architect Manager

Technology & Systems ConsultingUpdated on Nov 12
Full-time

About the Job

Requirements

  • Ability to work a flexible schedule, including evenings, weekends, and holidays, as business needs require, with reasonable accommodation provided where required by applicable law.
  • Ability to travel domestically and internationally, as business needs require.
  • At least 8 years of experience in AI, data, or consulting roles, including 3 years in a client-facing leadership capacity.
  • At least 3 years of experience leading or contributing to end-to-end sales cycles, including opportunity origination, solution shaping, and deal closure, with involvement in multiple complex deals.
  • At least 5 years of experience designing and delivering enterprise-scale AI solutions, including at least 3–5 full lifecycle implementations from architecture through production deployment.
  • At least 4 years of hands-on experience with the Microsoft AI ecosystem, including Azure AI Services, Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
  • At least 2 years of experience developing or deploying Generative AI and/or Agentic AI solutions in production environments.
  • At least 5 years of experience programming in Python for analytics and software engineering, including use of modern AI libraries such as LangChain and DSPy.
  • At least 4 years of experience applying data and analytics to business problems, including data preparation, pipeline development, and system integration across distributed environments.
  • At least 3 years of experience working with DevOps, MLOps, SDLC, and Agile development practices across multiple projects.
  • At least 5 years of experience in client-facing roles, including leading stakeholder engagements, facilitating workshops, and driving solution delivery.
  • A bachelor's degree in computer science or a quantitative field, or equivalent experience. Candidates without a degree require at least 12 years of experience; candidates with an associate's degree require 6 years of experience.
  • Priority skill: Agentic AI solution architecture.

Responsibilities

  • Provide leadership and oversight for AI solution architecture, ensuring alignment with client business strategies, technical requirements, and industry best practices.
  • Own and drive end-to-end sales cycles, including opportunity identification, qualification, solution shaping, proposal development, pricing inputs, and deal closure.
  • Partner with account teams and clients to originate and develop AI opportunities, aligning solutions to business value and measurable outcomes.
  • Translate business requirements into AI solution scope, value propositions, and scalable architectural designs in collaboration with AI teams and Solution Architects.
  • Analyze client processes, systems, and data landscapes to identify AI transformation opportunities and recommend approaches based on client maturity.
  • Lead solutioning activities, including estimation, technical design, and proposal development across the pre-sales and delivery lifecycle.
  • Deliver AI engagements as an AI subject matter expert, Solution Architect, or Technical Architect, ensuring high-quality outcomes.
  • Provide governance, quality assurance, and best-practice guidance across AI project teams related to delivery approach, design, and implementation.
  • Facilitate client workshops, stakeholder meetings, and pre-sales presentations to articulate AI value, solution approach, and business impact.
  • Develop and contribute to AI assets, accelerators, and methodologies to enhance organizational capability, sales effectiveness, and delivery efficiency.
  • Collaborate across global teams and partner ecosystems to share knowledge, drive innovation, and scale AI capabilities.

Desired Qualifications

  • Microsoft Certified AI Engineer certification or equivalent.
  • Experience in management consulting and/or systems integration environments.
  • Strong background in software engineering, data engineering, or solution architecture.
  • Experience with Azure Databricks and distributed data processing environments.
  • Knowledge of real-time and streaming data analytics, time-series analytics, and system integration patterns.
  • Strong understanding of data science and machine learning principles.
  • Experience operating across multiple architectural domains, including enterprise and infrastructure architecture.
  • Ability to articulate AI use cases across multiple industries, including manufacturing, healthcare, retail, and resources.
  • Strong communication, stakeholder management, and client-facing skills with the ability to influence decision-making.
  • Demonstrated ability to write high-quality, production-ready code.
  • Ability to think strategically while breaking down complex problems into scalable architectural components.
  • Comfort operating in a hands-on role within a fast-paced, global environment.
  • Experience contributing to go-to-market development, sales strategy, or capability-building initiatives.
  • Experience with Master Data Management (MDM) solutions, particularly Profisee, is considered a strong asset.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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