AI and Data Architect Manager

Avanade

AI architect manager scaling secure enterprise AI solutions for Avanade clients. Leading Microsoft ecosystem architecture, sales cycles, and delivery.

Posted 9/4/2026full-timeCalifornia, Colorado, Connecticut, Florida, Illinois, Massachusetts, Minnesota, Missouri, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington • 🇺🇸 United StatesSeniorLead💰 $139,200 - $195,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI solution architecture, including the design and delivery of enterprise-scale AI solutions. Proven ability to lead sales cycles, engage with clients, and translate business requirements into actionable AI strategies.

Highest-signal resume keywords

AI Solution ArchitectureAzure AI ServicesPython ProgrammingEnd-to-End Sales CyclesClient-Facing Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DesignEnterprise-Scale AI SolutionsGenerative AI DevelopmentData PreparationPipeline DevelopmentDevOpsMLOpsAgile DevelopmentHigh-Quality Code WritingSystem Integration

Soft Skills

Strong CommunicationStakeholder ManagementClient-Facing Skills

Tools & Technologies

Azure OpenAIAzure AI FoundryAzure Machine LearningAzure Databricks

Certifications & Qualifications

Microsoft Certified AI Engineer

Industry Keywords

Management ConsultingSystems IntegrationReal-Time Data AnalyticsStreaming Data AnalyticsTime-Series AnalyticsData ScienceMachine LearningEnterprise Architecture

Tech Stack

Tools & technologies

AzurePythonSDLC

About the role

Key responsibilities & impact

Lead AI architectural design and end-to-end solutioning and sales efforts
Provide leadership and oversight for AI solution architecture
Own sales cycles from opportunity identification through deal closure
Partner with account teams and clients to develop AI opportunities and align solutions to measurable business value
Translate business requirements into AI solution scope, value propositions, and scalable architectures
Analyze client processes, systems, and data landscapes to identify AI transformation opportunities
Lead estimation, technical design, and proposal development across pre-sales and delivery
Deliver AI engagements as an AI SME, Solution Architect, or Technical Architect
Provide governance, quality assurance, and best-practice guidance across AI project teams
Facilitate client workshops, stakeholder meetings, and pre-sales presentations
Develop AI assets, accelerators, and methodologies
Collaborate across Avanade, Accenture, Microsoft, and partner ecosystems to share knowledge, drive innovation, and scale AI capabilities

Requirements

What you’ll need

Ability to work a flexible schedule, including evenings, weekends, and holidays, as business needs require
Ability to travel domestically and internationally, as business needs require
Minimum of 8+ years of experience in AI, Data, or consulting roles, including 3+ years in a client-facing leadership capacity
3+ years of experience leading or contributing to end-to-end sales cycles, including opportunity origination, solution shaping, and deal closure
5+ years of experience designing and delivering enterprise-scale AI solutions, including 3–5 full lifecycle implementations
4+ years of hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Azure Machine Learning
2+ years of experience developing or deploying Generative AI and/or Agentic AI solutions in production environments
5+ years of experience programming in Python, including modern AI libraries such as LangChain and DSPy
4+ years of experience applying data and analytics to business problems, including data preparation, pipeline development, and system integration
3+ years of experience with DevOps, MLOps, SDLC, and Agile development practices
5+ years of experience in client-facing roles, leading stakeholder engagements and facilitating workshops
Bachelor’s degree in computer science or quantitative field OR equivalent experience
Minimum 12 years of experience with no degree or 6 years with an Associate’s Degree
Preferred: Microsoft Certified AI Engineer or equivalent certification
Preferred: management consulting and/or systems integration experience
Preferred: Azure Databricks and distributed data processing experience
Preferred: real-time and streaming data analytics, time-series analytics, and system integration patterns
Preferred: data science and machine learning knowledge
Preferred: enterprise and infrastructure architecture experience
Preferred: ability to articulate AI use cases across multiple industries
Strong communication, stakeholder management, and client-facing skills
Demonstrated ability to write high-quality, production-ready code

Benefits

Comp & perks

Medical coverage
Dental coverage
Vision coverage
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off