AI/Cloud Technical Solutions Architect
Listed on 2026-06-13
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IT/Tech
Cloud Computing, IT Consultant, AI Engineer (Applied/Software), Data Engineering
Discover What’s Possible At BetMGM
Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We’re a brand with technology at our hearts and the most driven and focused talent in the business.
BenefitsAs a valued team member, we’re committed to giving you the resources and support you need to thrive. Our benefits and perks include:
- Medical, Dental, Vision, Life, and Disability Insurance
- 401(k) with company match
- Pre‑tax spending accounts including health care FSA and commuter savings
- Flexible paid time off
- Professional development reimbursement and ongoing skills training opportunities
- Employee resource groups
- Swag, ticket giveaways, and more!
The Role
As a solutions architect it is your responsibility for evaluating an organization’s business needs and determining how IT can support those needs leveraging software, hardware, or infrastructure. Aligning IT strategy with business goals has become paramount within BetMGM, and the solutions architect will help determine, develop, and improve technical solutions in support of business goals. You will be bridging the communication between IT and business operations to ensure everyone is aligned in developing and implementing technical solutions for business problems.
The process requires regular feedback, adjustments, and problem‑solving in order to properly design and implement potential solutions and improvements.
For this specific role, we are seeing expertise in Artificial Intelligence (AI) and Amazon Web Services (AWS) to design, develop, and implement scalable cloud‑based solutions. This role will be partnered with technical teams and business stakeholders to architect secure, high‑performing systems that leverage AI technologies, automation, and modern cloud infrastructure.
The ideal candidate combines strong AWS architecture experience with a solid understanding of AI services, integrations, and enterprise solution design.
Responsibilities- Lead brainstorming sessions to develop potential solutions for business needs or problems
- Create a problem statement, defining operational requirements including integration with other systems or components, researching and modeling the system architecture
- Work with business units to develop IT strategies and to improve current IT implementations.
- Work with product and delivery teams to develop scalable solutions and products.
- Design and implement scalable, secure, and cost‑effective cloud architectures on AWS
- Lead the development of AI‑powered solutions using AWS AI/ML services and third‑party tools
- Communicate and consult with internal stakeholders to develop appropriate solutions.
- Manage activities that take place during solution ideation, solution design, and solution implementation
- Review business context for solutions to company challenges as well as define the vision and requirements for the solution, recommending potential options, (which may include RFIs, RFPs or prototype development), selecting the most optimal option, and the development of a roadmap for the selected solution
- Communicate the architecture to the stakeholders and collaborate and coordinate with existing domain architects in the formalization and adoption of IT standards and procedures.
- Assure solutions not only are a fit for the specific purpose but also closely align with the standards guidelines of technology solutions
- Direct the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
- Develop and execute solutions which further reduce the percentage of time spent on reactive work
- Collaborate with stakeholders to gather technical and business requirements
- Architect end‑to‑end solutions involving data pipelines, APIs, automation, and cloud‑native services
- Evaluate and recommend emerging AI technologies, frameworks, and best practices
- Create technical documentation, architecture diagrams, and implementation roadmaps
- Support migration of…
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