Head Of Engineering Intelligent Systems & AI

Build and Scale the Team

• Recruit, hire, and onboard a team of engineers across frontend, backend, and infrastructure disciplines.
• Define roles, responsibilities, and growth paths within the engineering team.
• Foster a culture of ownership, collaboration, and continuous improvement.

Hands-On Leadership

• Contribute directly to system design, architecture, and coding when needed.
• Set technical standards and ensure engineering best practices across the stack.
• Mentor engineers through code reviews, design sessions, and pair programming.

Product Technology Execution

• Oversee the delivery of scalable full-stack applications with modern web and cloud technologies.
• Ensure security, reliability, and maintainability of systems.
• Introduce agentic AI components where appropriate to enhance product functionality and automation.

Cross-Functional Collaboration

• Work closely with product managers and designers to deliver customer-focused features.
• Collaborate with data and research teams to explore AI opportunities in real-world applications.
• Represent engineering in strategic discussions with senior leadership.

Operational Excellence

• Implement agile processes, CI/CD pipelines, and modern DevOps practices.
• Establish metrics for velocity, quality, and reliability.
• Ensure compliance with privacy, security, and regulatory requirements.

• 10+ years of professional software engineering experience, with at least 5 years in leadership roles.
• Proven experience in building and scaling teams , including direct involvement in hiring and mentoring engineers.
• Strong background in full-stack development using modern frameworks and architectures (e.g., React, Node.js, Java, Python, microservices, cloud-native).
• Demonstrated ability to balance hands-on technical work with organizational leadership.
• Strong understanding of DevOps, CI/CD, and cloud platforms (AWS, GCP, or Azure).
• Excellent leadership, communication, and stakeholder management skills.