Cloud Technology Strategist
4 days ago
Estimated Salary: $180,000 - $260,000 per year
About the Role:
We are seeking an experienced Cloud Technology Strategist to drive the adoption of best practices in architecture methodologies and ensure compliance with security standards. As a key member of our team, you will be responsible for leading the design and development of innovative manufacturing solutions that integrate traditional and emerging technologies.
About You:
To succeed in this role, you will need a strong background in cloud technologies (AWS, Azure, Google Cloud), GPT/LLM, Deep Learning, and Machine Learning, as well as experience in architecture roles with a focus on manufacturing and industrial applications. You will also possess excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.
Responsibilities:
* Design and architect complex manufacturing solutions that leverage cloud technologies, Generative AI, IoT, and other emerging technologies alongside traditional methods.
* Collaborate closely with internal teams, including domain experts, account managers, and development teams, to ensure the alignment of product architecture with business goals and customer needs.
* Act as a technical liaison between the company and our clients, providing expert guidance and building trust through innovative solutions.
* Drive the adoption of best practices in architecture methodologies and ensure compliance with security standards.
* Stay abreast of industry trends and technological advancements to incorporate into solution design and offerings.
* Lead and mentor a team of developers and junior architects, fostering an environment of innovation and continuous improvement.
Requirements:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 10- 15 years of experience with 25% travel.
* Experience in architecture roles with a focus on manufacturing and industrial applications.
* Strong background in cloud technologies (AWS, Azure, Google Cloud), GPT/LLM, Deep Learning, and Machine Learning and understanding how to leverage them in manufacturing contexts.
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