Director of Engineering (AI Systems & Secure Platforms)

15 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Director of Engineering (AI Systems & Secure Platforms)

Thane (

12–15+ years of experience in architecting and deploying AI systems

deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure

mobile/wearable platforms.


Top 3 Daily Tasks:

LLMs, RAG pipelines, and Computer Vision

● Design and orchestrate agentic AI workflows—enabling autonomous agents with planning, tool usage, error handling, and closed feedback loops.

● Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed “invisible intelligence” within secure wearable systems.


Minimum Work Experience Required:


12–15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure

Mobile Systems, and Agentic AI Architecture


Top 5 Skills You Should Possess:


TensorFlow, PyTorch, HuggingFace, ONNX,

LLMs, Retrieval-Augmented Generation (RAG),

understanding of Android/iOS integration, AOSP customization

● Experience in Privacy-Preserving AI (Federated Learning, Differential Privacy) and secure AI APIs.


● Proven track record in architecting and deploying agentic AI systems—multi-agent

workflows, adaptive planning, tool chaining, and MCP (Model Context Protocol).


Cross-Functional Collaboration Excellence:

● Partner with Platform & Security teams to define secure MCP server blueprints exposing device tools, sensors, and services with strong governance and traceability.

● Coordinate with Mobile and AI teams to integrate agentic workflows across Android, iOS, and AOSP environments.

● Work with Firmware and Product teams to define real-time sensor-agent interactions, secure data flows, and adaptive behavior in smart wearables.


What You’ll Be Creating:

● Agentic, MCP-enabled pipelines for smart glasses—featuring intelligent agents for vision, context, planning, and secure execution.

● Privacy-first AI systems combining edge compute, federated learning, and cloud integration.

● A scalable, secure wearable AI platform that reflects our commitment to building purposeful and conscious technology.


Preferred Skills:

● Familiarity with secure real-time protocols: WebRTC, SIP, RTP.

● Programming proficiency in C, C++, Java, Python, Swift, Kotlin, Objective-C,

Node.js, Shell Scripting, CUDA (preferred).

● Experience designing AI platforms for wearables/XR with real-time and low-latency

constraints.

● Deep knowledge of MCP deployment patterns—secure token handling, audit trails,

permission governance.

● Proven leadership in managing cross-functional tech teams across AI, Firmware,

Product, Mobile, and Security.

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