AI Architect

Responsibilities

• Provide thought leadership for the practice, both within the company and in client-facing engagements.
• Work with the business development team as a Subject Matter Expert to identify, clarify, plan and win business opportunities with current and new clients.
• Establish and disseminate processes and practices to ensure consistent delivery of high-quality solutions to our clients.
• Maintain a strong command of current technology trends, including emerging paradigms, languages, and practices.
• Work with product partners in delivery
• Develop quality assurance and control policies and procedures.
• Direct and monitor large/complex data science and engineering business programs. Develop and execute strategic plans for company and client programs and projects.
• Report to senior management regularly and maintain effective and consistent communication and tracking of all assigned programs and projects.
• Lead and coach a team of technical staff, working in a global delivery model.
• Hire team members, plan, assign, and direct work.
• Appraise team performance, address complaints and resolve problems.

Critical Competencies

• Expertise in data management, data engineering, analytics, AI/ML.
• Strong, broad technical skills with experience in a variety of technical roles.
• Team leadership in onshore/offshore global delivery environment.
• Excellent written and verbal communication skills.
• Ability to build strong collaborative relationships with peers, client stakeholders and senior company leadership.
• Strong command of cloud development and infrastructure practices.
• Experience in Telecom is not required but is considered a big plus.

Requirements

• Bachelor's degree or advanced degree in Computer Science or a related field of study.
• 10 years of large scale complex commercial data engineering / data science experience, 3 years in management.