Lead Business Transformation Architect
- Translating business needs into artificial intelligence and machine learning roadmaps and scalable cloud architecture designs
- Leading the design, deployment, and integration of artificial intelligence models and applications across cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform
- Managing cloud infrastructure components, including compute, storage, and networking, to support artificial intelligence workloads
- Overseeing security, compliance, cost, performance, and disaster recovery considerations for artificial intelligence solutions
- Collaborating with executives, developers, and cross-functional teams to define requirements, secure alignment, and support solution adoption
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- 2+ years of experience with artificial intelligence or machine learning concepts and algorithms
- 5+ years of experience with Amazon Web Services, Microsoft Azure, Google Cloud Platform, or their artificial intelligence, agentic, or data services
- 3+ years of technology architecture experience
- Experience designing or deploying artificial intelligence solutions in cloud environments
- Experience managing security, compliance, cost, or performance considerations for cloud-based solutions
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Experience with marketing technology platforms or customer engagement platforms
- Experience developing artificial intelligence or machine learning strategy for client or enterprise use cases
- Experience leading cloud-based artificial intelligence implementation across cross-functional teams
- Experience with governance, risk, or disaster recovery planning for artificial intelligence solutions
- Experience presenting technical recommendations to executive stakeholders
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