Data & AI Technical Architect (225-824)

As a Data & AI Technical Architect, you will lead the design and implementation of innovative data solutions and artificial intelligence systems that cater to the needs of our clients. This highly strategic role requires a blend of expertise in data architecture, AI technologies, and cross-functional collaboration skills to drive business objectives and technological development. You will work closely with stakeholders, including clients, project managers, and other architects, to ensure that solutions are not only technically sound but also aligned with organizational goals. Your work will empower businesses by transforming raw data into insights, enabling informed decision-making, enhancing customer experiences, and driving competitive advantages in the digital economy.

Responsibilities

• Design and architect comprehensive data solutions that meet client requirements and industry standards.
• Develop artificial intelligence models that enhance decision-making and automate processes.
• Collaborate with cross-functional teams to integrate AI systems into existing architectures.
• Lead the technical execution of AI projects from inception to deployment.
• Ensure the security and scalability of data systems and AI solutions.
• Provide technical leadership and mentorship to junior engineers and technical staff.
• Stay current with emerging AI technologies and data architectural patterns.
• Oversee the implementation of data governance and compliance measures.
• Develop and maintain documentation of architecture and technology standards.
• Collaborate with clients to understand their business needs and translate them into technical requirements.
• Optimize data storage and retrieval systems for maximum efficiency and performance.
• Conduct performance tuning and troubleshooting for AI and data systems as needed.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Proven experience in data architecture and developing AI solutions in a professional setting.
• Proficiency in programming languages such as Python, Java, and R.
• Strong understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with big data technologies, such as Hadoop, Spark, or Kafka.
• Excellent problem-solving skills and ability to conceptualize AI solutions.
• Strong communication skills to engage effectively with technical and non-technical stakeholders.