SVP, AI Deployment – Solution Leader

Jobtailor; Illinois; On-site; USD 200,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior leader to drive AI deployment and solutions architecture across the enterprise. You will define and govern the AI technology stack, align it with data governance and security, and oversee scalable production deployments.

You will lead a multidisciplinary team of AI architects, ML engineers, and platform engineers, delivering AI-enabled business outcomes and setting governance and operational standards across cloud platforms.

Qualifications

• Master's degree or equivalent experience in a relevant field.
• 12+ years of technology leadership experience in AI, ML, cloud architecture, or platform engineering.
• Proven ability to scale AI solutions from pilots to enterprise production.

Responsibilities

• Provide strategic and technical direction on AI platforms, services, models, and deployment approaches.
• Guide business and technology teams in evaluating AI opportunities and designing scalable solutions.
• Establish enterprise architectural standards and reusable patterns for AI applications.

Skills

AI deployment

Machine Learning

Cloud Architecture

Solution Design

Enterprise Architecture

Distributed Systems

Data Platforms

Integration Patterns

Operational Readiness

AI Governance Frameworks

Education

Master's in Computer Science

Master's in Engineering

Master's in Artificial Intelligence

Master's in Data Science

Tools

Azure AI Foundry

Azure OpenAI

Azure Machine Learning

Amazon Bedrock

SageMaker

LangChain

LangGraph

Job description

• Serve as the organization's senior AI deployment and solutions architecture leader, providing strategic and technical direction on AI platforms, services, models, and implementation approaches.
• Guide business and technology teams in evaluating AI opportunities, selecting the appropriate technologies, and designing scalable AI solutions.
• Establish enterprise architectural standards and reusable design patterns for AI applications, ensuring solutions can scale beyond pilots and proofs of concept.
• Provide expert guidance on Azure AI and AWS AI platforms, including AI Foundry, Azure OpenAI, Azure Machine Learning, Amazon Bedrock, and related services.
• Define and govern a unified enterprise AI technology stack aligned with data, security, governance, and cloud strategies.
• Oversee deployment of highly available, secure, compliant, and resilient AI solutions in production.
• Drive enterprise AI adoption through training, best practices, self-service capabilities, and technical enablement programs.
• Lead and develop a multidisciplinary team of AI architects, ML engineers, platform engineers, data scientists, and technical specialists.

Requirements

• Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent experience
• 12+ years of technology leadership experience, including significant experience leading AI, machine learning, cloud architecture, platform engineering, or related functions
• Deep expertise with Microsoft Azure AI services, including Azure AI Foundry, Azure OpenAI, Azure Machine Learning, and broader Azure cloud capabilities, with Azure serving as the primary enterprise AI platform
• Strong knowledge of AWS AI services, including Amazon Bedrock, SageMaker, and related cloud-native AI capabilities
• Demonstrated ability to evaluate, architect, and deploy AI solutions that successfully scale from proof of concept to enterprise-wide production environments
• Extensive experience providing technical and architectural guidance on AI platforms, solution design, implementation approaches, and operational readiness
• Strong understanding of enterprise architecture, cloud-native application development, distributed systems, APIs, data platforms, AI infrastructure, and integration patterns
• Experience establishing MLOps practices, AI governance frameworks, operational standards, and production support models
• Experience with agentic AI frameworks and technologies, including LangChain, LangGraph, Azure AI Foundry, Amazon Bedrock, and AI capabilities integrated within enterprise software platforms
• Proven ability to design scalable, reusable, and secure AI architectures that maximize business value while minimizing operational complexity and technical debt
• Strong executive presence with demonstrated success influencing senior business and technology leaders
• Proven people leadership experience leading highly technical, multidisciplinary teams

Core Competencies

Demonstrates expertise in AI deployment and solutions architecture, with a strong focus on Microsoft Azure AI services and AWS AI capabilities. Proven ability to lead multidisciplinary teams in designing scalable AI solutions aligned with enterprise architecture and governance standards.

Highest-signal resume keywords

• Microsoft Azure AI Services
• AWS AI Services
• AI Solutions Architecture
• MLOps Practices
• Technical Leadership

ATS Optimization Keywords

Hard Skills

• AI Deployment
• Machine Learning
• Cloud Architecture
• Solution Design
• Enterprise Architecture
• Distributed Systems
• Data Platforms
• Integration Patterns
• Operational Readiness
• AI Governance Frameworks

Soft Skills

• Executive Presence
• Influencing Leadership
• Team Leadership

Certifications & Qualifications

• Master's Degree in Computer Science
• Master's Degree in Engineering
• Master's Degree in Artificial Intelligence
• Master's Degree in Data Science

Industry Keywords

• AI Platforms
• Cloud-Native Applications
• AI Infrastructure
• Scalable Solutions
• Technical Enablement

Tools & Technologies

• Azure AI Foundry
• Azure OpenAI
• Azure Machine Learning
• Amazon Bedrock
• SageMaker
• LangChain
• LangGraph