Director / Senior Director Engineering (AI Systems & Platform Architecture)

My Dear Professional Connections - I am trying to help my GLOBAL Client fulfill a strategic role, sharing details for your review below - Reach me in confidence, via [email protected]/9845766161 along with resume/details.

Role is based out of Bangalore( CV Ramana Nagar/Maratahalli work area)

A global technology leader focused on building intelligent devices, next-generation mobility solutions, and AI-powered connected ecosystems across smartphones, PCs, tablets, smart devices, and edge computing platforms. The organization is investing heavily in AI-first experiences, on-device intelligence, and cross-device ecosystem integration to deliver seamless and context-aware user experiences at scale. With strong innovation across Android platforms, intelligent edge systems, and consumer technologies, the company continues to drive advancements in AI-enabled hardware and software experiences globally.

We are looking for a highly accomplished engineering leader with deep expertise in AI-driven system architecture, operating systems, embedded platforms, and cross-device intelligent systems. The ideal candidate will bring strong architectural depth across Android, Linux, and Windows ecosystems, along with hands-on experience in integrating AI capabilities at the platform and middleware layers.

The role involves driving next-generation intelligent platform architectures with a strong focus on on-device AI, AI acceleration frameworks, sensor-driven systems, and middleware integration across heterogeneous hardware platforms. The candidate will lead engineering teams responsible for scalable, high-performance AI-enabled software systems across mobile, embedded, and edge devices.

• Define and drive AI-driven system architecture strategies across device ecosystems.
• Architect cross-device system primitives including:
• Context-awareness frameworks
• Sensor fusion pipelines
• Capability abstraction layers
• Data orchestration frameworks
• Lead platform architecture initiatives across Android, Linux, and Windows operating systems.
• Drive integration of Android middleware with vendor HALs including:
• GPU accelerators
• NPU/AI accelerators
• DSP frameworks
• Neural execution runtimes
• Design and optimize on-device AI orchestration pipelines balancing:
• Latency
• Memory
• Power consumption
• Thermal constraints
• Accuracy
• Enable system-level support for AI-enabled features including:
• Sensor pipelines
• AI model execution frameworks
• Data movement and processing flows
• Edge inferencing pipelines
• Collaborate with silicon vendors, platform teams, OEMs, and application teams for end-to-end AI feature integration.
• Lead architecture reviews, technical roadmap planning, and platform scalability initiatives.
• Build and mentor high-performing engineering teams across embedded systems, middleware, AI platforms, and mobile technologies.
• Drive engineering excellence through Agile delivery, DevOps, automation, and software craftsmanship practices.

• 18+ years of engineering experience with significant exposure to mobile, embedded, or intelligent device ecosystems.
• Strong expertise in Android architecture, Linux systems, and embedded middleware development.
• Deep understanding of Android HAL, framework, kernel interactions, and system services.
• Experience working with AI/ML deployment on edge or mobile devices.
• Strong knowledge of:
• AI acceleration stacks
• GPU/NPU/DSP integration
• Neural runtimes and model optimization
• Sensor and multimedia pipelines
• Experience in wireless/mobile system software, telephony stacks, or device middleware is highly preferred.
• Proven experience leading large engineering organizations and global R&D teams.
• Strong understanding of performance optimization, scalability, and system reliability.
• Experience with Agile/SAFe methodologies and modern software engineering practices.

• Exposure to GenAI, LLMs, Agentic AI, or AI-assisted software engineering workflows.
• Experience with healthcare, consumer electronics, automotive, or regulated device ecosystems.
• Hands-on understanding of firmware, embedded Linux, and system integration layers.
• Patent filings, innovation programs, or hackathon leadership experience preferred.

• Strong strategic thinking and execution capability.
• Ability to influence cross-functional stakeholders and executive leadership.
• Passion for innovation, platform thinking, and emerging AI technologies.
• Strong mentoring and organizational development capabilities.