About this opportunity
Tenth Revolution Group lists this Senior AI Engineer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Our client is a rapidly growing US-based organization (Gaming / Entertainment) operating across a large network of consumer-facing locations. The company combines technology, data, payments, customer engagement, and operational services to support its nationwide network.
As the organization continues to invest heavily in data and AI, it is building out its internal AI capabilities and looking for a senior technical professional who can help define, build, deploy, and scale enterprise AI solutions.
This is an opportunity to join an organization at an exciting stage of its AI journey, with the ability to influence architecture, engineering standards, governance, and the wider adoption of AI across the business.
The Role
We are looking for a Senior AI Engineer / AI Solutions Architect to work closely with business, engineering, and technical leadership teams to design and deliver production-grade AI solutions.
You will act as a technical subject matter expert across AI engineering, agentic AI, RAG, cloud infrastructure, data platforms, and enterprise integrations. You will also play an important role in establishing best practices and helping develop the organization's wider AI engineering capabilities.
Key Responsibilities
Partner with business and technical stakeholders to define and deliver AI-driven solutions
Translate business challenges into practical AI strategies, architectures, and technical approaches
Provide technical guidance and direction to engineering teams as AI capabilities scale
Act as a subject matter expert across AI engineering and emerging AI technologies
Contribute to AI training, technical playbooks, standards, and knowledge-sharing initiatives
Establish and maintain AI governance, compliance, security, and auditability standards
Design AI agents and RAG solutions across enterprise data platforms
Develop and support RAG pipelines leveraging platforms such as Databricks, Azure SQL, and CRM/enterprise applications
Provide technical direction for deploying AI applications within Microsoft Azure
Integrate AI agents with enterprise applications, APIs, and business workflows
Establish reliable deployment processes using CI/CD and standardized engineering practices
Support the productionization, monitoring, and ongoing reliability of AI applications
Mentor junior AI engineers through code reviews, architecture discussions, and technical guidance
Develop AI training materials and engineering best practices
Help establish "train-the-trainer" approaches to scale AI knowledge across technical and business teams
Required Experience
Bachelor's degree in Computer Science, Data Science, AI/ML, or a related technical discipline
5+ years of experience across AI engineering, machine learning, software engineering, or a related field
Demonstrable experience designing and deploying production AI solutions
Strong Python development skills, including APIs, testing, and CI/CD
Experience with ML/AI frameworks such as scikit-learn, TensorFlow, PyTorch, or Hugging Face
Hands-on experience with Microsoft Azure , particularly services such as Azure Functions, Container Apps, Azure SQL, and Blob Storage
Strong data engineering experience with platforms such as Databricks, data lakes, and modern cloud data warehouses
Understanding of AI governance, responsible AI, security, and compliance
Experience integrating AI solutions with enterprise systems and APIs
Experience working with REST and/or GraphQL APIs
Strong communication skills, with the ability to explain complex AI concepts to both technical and non-technical audiences
Strong problem-solving skills and the ability to operate in a fast-moving environment
Preferred Experience
Experience building AI agents or agentic AI solutions
Experience with RAG architectures and vector databases
Familiarity with AI evaluation, monitoring, and observability tooling
Experience integrating AI with CRM, ERP, or other enterprise platforms
Experience establishing AI engineering standards or mentoring other AI professionals
Why This Opportunity?
This is more than a traditional AI engineering position. The successful candidate will have the opportunity to help shape how AI is designed, governed, deployed, and adopted across a growing organization.
You will have exposure to AI agents, RAG, Azure, Databricks, enterprise data, APIs, and production AI engineering , while also having significant influence over technical standards and the organization's broader AI strategy.
Primarily computer-based technical work
Requires extended periods of sitting and working with computer systems
Reliable internet connectivity required
Company-provided laptop and associated security responsibilities
Reasonable accommodations may be provided where appropriate
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.