Senior Director - Engineering

Applied AI is taking scientific research and applying it to business problems.

As a leader of Applied AI engineering team, you will help drive the application of AI across our suite of products in addition to developing the thinking of our team. This leader will direct and shape the data science philosophy, planning and strategy for the team, as we explore multi-modal, multi lingual use cases through the use of Generative AI.

Responsibilities:

• Inspire, lead and grow a team of data scientist, Machine learning engineers, engineering managers
• Data Science and Technical leadership for product and across all engineering requirements.
• Clarify our Applied AI philosophy and engineering strategy to key stakeholders and drive consensus
• Continuously improve and drive engineering best practices around software engineering & lead the craftsmanship, resilience, and scalability of your solutions.
• Bring a passion to stay on top of AI trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Encourage innovation, implementation of cutting-edge technologies, inclusion outside-of-the-box thinking, teamwork, self-organization, and diversity.
• As a key member of the product engineering team, work with product management, architecture and professional services to deliver and maintain compelling products to market
• Ship great products under stringent deadlines and in the face of ambiguous requirements and changing business priorities.
• Be a champion for AI test discipline , and evaluation scores, in order to make AI capabilities more deterministic
• Reduce the time-to-insights window for new customers.
• Responsible for the overall development and release life cycle.

Requirements

• BE/ B. Tech. in Computer Science /Software Engineering from a reputed
  college/university.
• 15+ years of industry experience with experience leading engineering teams with over 30+ software engineers.
• Hands-on experience in building large-scale distributed systems with AWS
• 5+ years of direct people management experience including managing managers
• 5+ years of experience of working in the Generative AI / Deep learning
• Experience communicating with technical and non-technical stakeholders at all levels across the business.
• Experience in building highly scalable Enterprise SaaS software is a big plus
• Experience in AWS will be added advantage
• Exceptional leadership skills and proven experience in shaping team culture.
• Proven ability to headhunt, attract, retain, and coach engineering talent from top companies and universities.
• Strong analytical skills and passion for answering questions with data
• Bachelor's degree in computer science, engineering, or a related discipline.
• Proven record of building, managing, and sustaining product organizations.
• Must have the ability to influence people at the business unit level.
• Must have the ability to understand the technical and non-technical aspects of product development.
• Excellent problem-solving skills.
• Excellent verbal and written communication skills.