Senior AI Deployment & Enterprise Solutions Architect

Jobtailor

Illinois

On-site

USD 200,000 - 260,000

Full time

14 days+

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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

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.

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