AI and Data Architect Manager

Jobtailor; California (MO); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Microsoft Certified AI Engineer (Pref)

Job summary

Jobtailor is seeking an AI Solution Architect to lead end-to-end AI solutioning and sales efforts across client engagements. You will drive architecture oversight, translate business needs into scalable AI solutions, and coordinate with partner ecosystems.

The role requires 8+ years in AI/data/consulting, 3+ years in client-facing leadership, and hands-on Azure AI with GenAI experience. Travel and flexible schedule are expected.

Qualifications

• Bachelor's degree in CS or quantitative field or equivalent experience.
• 12+ years experience with no degree, or 6+ years with an Associate degree.
• Microsoft Certified AI Engineer or equivalent certification (preferred).
• Extensive client-facing leadership and consulting background.

Responsibilities

• 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 and scalable architectures.
• Analyze client processes, data landscapes to identify AI transformation opportunities.
• Lead estimation, technical design, and proposal development across pre-sales and delivery.
• Deliver AI engagements as AI SME, Solution Architect, or Technical Architect.
• Provide governance, QA, 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 and scale AI.

Skills

Leadership in AI solutions

Client-facing leadership

Sales cycle ownership

Communication

High-quality production code

Stakeholder management

Solution architecture guidance

Education

Bachelor's degree in CS or quantitative field

Equivalent experience (no degree: 12 yrs / Associate: 6 yrs)

Tools

Azure OpenAI

Azure AI Foundry

Azure Machine Learning

Azure Databricks

Job description

Key Responsibilities

• 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

• 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

Core Competencies

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 Architecture
• Azure AI Services
• Python Programming
• End-to-End Sales Cycles
• Client-Facing Leadership

Hard Skills

• AI Solution Design
• Enterprise-Scale AI Solutions
• Generative AI Development
• Data Preparation
• Pipeline Development
• DevOps
• MLOps
• Agile Development
• High-Quality Code Writing
• System Integration

Soft Skills

• Strong Communication
• Stakeholder Management
• Client-Facing Skills

Certifications & Qualifications

• Microsoft Certified AI Engineer

Industry Keywords

• Management Consulting
• Systems Integration
• Real-Time Data Analytics
• Streaming Data Analytics
• Time-Series Analytics
• Data Science
• Machine Learning
• Enterprise Architecture

Tools & Technologies

• Azure OpenAI
• Azure AI Foundry
• Azure Machine Learning
• Azure Databricks