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Enterprise Architect- GEN AI

2 months ago

Edison, United States ClifyX Full time

Key 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.

• Engage with stakeholders across the company to gather requirements, provide updates, and deliver on project objectives.

• Prepare and present high-level product strategies and roadmaps to leadership and partners.

Qualifications:

• 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.

• Proficient in traditional and modern architectural patterns, software development, and system integration.

• Demonstrated ability to think strategically and integrate a broad range of ideas regarding product development.

• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and manage stakeholder expectations.

• Proven leadership abilities and experience in working with diverse and globally distributed teams.

Preferred Qualifications:

• Experience with Generative, DL/ML/AI, IoT, and data analytics in a manufacturing environment.

• Certifications in cloud architecture (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).

• Prior experience in agile development environments.