Head of Engineering – Modern Stack & AI Integration
About the Role
We are seeking a versatile and strategic Head of Engineering to lead software, data, and platform development across multiple business verticals. This is a unique, cross-cutting engineering leadership role designed for a hands‑on technical strategist who can build scalable web, mobile, and enterprise platforms while driving our core Data & AI/ML architecture.
If you thrive in high-impact environments, possess a deep modern full-stack foundation, and can seamlessly bridge the gap between enterprise software development and advanced data/AI solutions, this role is for you.
Key Responsibilities
Engineering Strategy & Delivery: Drive end-to-end technical execution across diverse verticals, ensuring scalability, performance, and security for web, mobile, and enterprise applications.
Architecture & Infrastructure: Architect and optimize multi-cloud infrastructure on AWS and/or Azure, enforcing modern full-stack engineering standards and robust microservices/API patterns.
Data & AI Leadership: Lead the integration of modern Data Engineering (pipelines, data platforms, analytics) and AI/ML capabilities (predictive models, GenAI/LLM integrations) across key product offerings.
Cross-Vertical Collaboration: Partner closely with executive stakeholders, product heads, and cross-functional teams to translate complex business needs into technical strategy and scalable software products.
Team & Talent Management: Scale, mentor, and lead high-performing, cross-functional engineering teams; foster a culture of technical excellence, continuous learning, and fast iteration.
Key Requirements & Qualifications
Must-Have Skillset
Technical Breadth: Proven background as a Full-Stack Software Engineer with strong mastery of modern web frameworks, mobile development ecosystems (iOS/Android or cross‑platform), and complex enterprise applications.
Cloud Infrastructure: Deep hands‑on experience designing, deploying, and managing modern cloud architectures on AWS and/or Azure.
Data & AI/ML Expertise: Demonstrated experience building modern data architectures (data pipelines, platforms, big data infrastructure) alongside practical experience deploying AI/ML/GenAI solutions into production environments.
Leadership & Scale: Proven experience managing senior engineers, managers, and cross‑functional technical teams driving cross‑vertical or multi‑product delivery.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
Experience architecting multi‑tenant, enterprise‑grade platforms.
Hands‑on knowledge of modern data technologies (e.g., Snowflake, Databricks, Spark, Kafka) and modern AI frameworks.
What We Offer
Modern Tech Stack: Work with state‑of‑the‑art cloud, full‑stack, data, and machine learning tools without legacy constraints.
Comprehensive benefits, flexible working culture, and professional growth opportunities.
experience
12 years
skills
Leadership, AI, Minimum 12 yrs exp.
qualifications
no additional qualifications required
education
Associate Degree/Diploma