Technology Head - AI/ML Platform

Description :

Job Title : Technology Head Platforms

Department : Technology & Engineering

Reports To : Chief Technology Officer

Location : Chennai | Bangalore | Hyderabad | Mumbai | Gurgaon

Role Purpose :

The Technology Head Platforms will lead the vision, architecture, and realization of next-generation, AI/ML-first intelligent platforms that power enterprise-scale digital products and services. This role demands a visionary leader who can turn ideas into reality through productization and standardization, building modular, scalable, and commercially viable solutions that drive measurable business value.

The incumbent will play a pivotal role in driving platform modernization, orchestrating automation, and optimizing performance across distributed ecosystems while supporting internal IT transformation initiatives. A strong grasp of commercial strategy, technical innovation, and cross-functional leadership will be essential to deliver high-impact outcomes for clients and enterprise operations alike.

Key Responsibilities :

Strategic Leadership :

- Define and lead the strategic vision for AI/ML-first platform ecosystems aligned with business growth objectives.

- Build, productize, and standardize reusable digital components that accelerate innovation and ensure agility.

- Drive a commercially intelligent technology strategy, optimizing total cost of ownership (TCO) and maximizing ROI for every initiative.

- Collaborate with executive leadership to influence strategic decisions through technology foresight and data-driven insight.

- Drive scalability, resilience, and reliability standards across all mission-critical systems.

Architecture & Delivery :

- Architect AI/ML-first platforms (formerly cloud-native) leveraging serverless, containerized, and automated intelligence frameworks.

- Champion product-driven, interoperable ecosystems that integrate seamlessly across business units.

- Ensure every platform is modular, secure, and performance-optimized for multi-tenant environments.

- Lead the transformation from traditional cloud platforms to self-learning, continuously improving systems powered by automation and analytics.

Engineering Excellence :

- Build and mentor cross-functional teams of platform engineers, data scientists, solution architects, and DevOps experts.

- Establish frameworks for CI/CD, observability, and reliability using infrastructure-as-code and automation-driven pipelines.

- Institutionalize engineering best practices that enable speed, stability, and scale globally.

- Oversee 24/7 uptime with proactive monitoring, capacity forecasting, and risk management.

Governance, Risk, and Compliance :

- Define governance models for technology operations, version control, and DevSecOps compliance.

- Ensure adherence to cybersecurity, data privacy, and regulatory standards (ISO 27001, SOC2, GDPR).

- Promote transparency and accountability through robust observability, centralized logging, and full traceability.

Innovation & Partnerships :

- Drive AI/ML-led experimentation and use cases that power applied innovation.

- Lead internal IT modernization by scaling automation, analytics, and digital transformation initiatives.

- Foster collaborations with hyperscalers, technology partners, and open-source communities to accelerate edge innovation.

- Introduce platforms-as-a-service (PaaS) models that not only serve clients but also empower internal teams.

People Leadership :

- Inspire high-performing global teams that thrive on curiosity, creativity, and execution excellence.

- Promote a culture of continuous improvement, inclusion, and innovation-centered leadership.

- Build organizational capabilities and scale talent through structured mentorship and upskilling frameworks.

Required Experience and Skills :

- 18 to 24 years of leadership experience in IT services, consulting, or digital platform engineering.

- Proven success in building and scaling large enterprise-scale platforms driven by AI, ML, and automation.

- Demonstrated ability to productize technology ideas into commercially successful solutions.

- Strong grasp of platform modernization, DevOps transformation, and data platform integration.

- Excellent commercial and business acumen with a strategic yet execution-oriented mindset.

- Experience managing distributed, multi-technology global engineering organizations

Qualifications :

- Bachelors or Masters in Computer Science, Information Technology, or Engineering.

- Certifications in AWS, Azure, or GCP Architecture preferred.

- PMP, ITIL, or similar certifications advantageous

Personal Attributes :

- Visionary with a balance of strategic foresight and business pragmatism.

- Deeply commercial thinker who aligns technology impact with measurable business outcomes.

- Passionate about innovation, product development, and large-scale transformation.

- Inspiring communicator with the ability to influence, motivate, and align diverse teams globally.