Enterprise Architect at VTAL TECHNOLOGY SOLUTIONS LLC

Seeking an Enterprise Architect for our client, a leading AI-specialized company, and become a key player in shaping cutting-edge technology strategies and architectures. Collaborate with stakeholders to drive innovation, lead transformative initiatives, and make a significant impact in the realm of artificial intelligence. This is a hybrid role in Tarrytown, NY.

Responsibilities:

• Develop and maintain enterprise architecture frameworks, aligning them with industry best practices and organizational goals to support AI-driven initiatives.
• Partner with business leaders, IT teams, and external stakeholders to translate business requirements into actionable architecture designs and roadmaps, leveraging the power of AI technologies.
• Lead the design and implementation of integrated solutions across various technology domains, including applications, data, infrastructure, and security, with a focus on AI integration.
• Conduct comprehensive architecture assessments and risk analyses to guide decision-making and prioritize investments in AI-driven projects.
• Provide technical guidance and leadership to project teams, ensuring adherence to architectural standards, quality, and governance processes in AI implementations.
• Drive innovation and continuous improvement by evaluating emerging AI technologies, trends, and industry benchmarks.
• Collaborate closely with vendors, partners, and third-party providers to evaluate AI solutions, negotiate contracts, and ensure successful delivery of AI-driven services.
• Effectively communicate architecture concepts, recommendations, and benefits to diverse audiences, including executives, technical teams, and business stakeholders.

Qualifications:

• Bachelor’s or master’s degree in computer science, Information Technology, or related field.
• 10 years of proven experience in enterprise architecture roles, preferably in IT services or consulting environments.
• Strong knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman) and methodologies, with a focus on AI integration.
• Deep understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their AI services, leveraging them to drive AI-powered solutions.
• Expertise in designing and implementing architecture solutions across multiple domains, including cloud computing, cybersecurity, data analytics, and digital transformation, with a strong emphasis on AI.
• Hands-on experience with architecture modelling tools, such as Sparx Enterprise Architect, IBM Rational System Architect, or similar, in the context of AI projects.
• Excellent communication skills, with the ability to articulate complex technical concepts related to AI to non-technical audiences.
• Strong leadership, collaboration, and influencing skills, demonstrated by a track record of driving consensus and alignment across diverse stakeholders.
• Relevant certifications in AI, machine learning, or data science (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning - Specialty) are a significant plus.