Infrastructure and Capacity Planning: Design AI infra blueprints spanning data, compute, GPU/TPU capacity, observability, and security, ensuring optimal cost-performance balance and resilience.
Cross-Industry Engagement: Lead solutioning across key verticals such as financial services, manufacturing, retail, telecom, and public sector, tailoring architectures to industry-specific needs.
Governance and Compliance: Establish frameworks for responsible AI, model risk management, and regulatory compliance.
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Develop the foundational platform for AI Agents - including agent registry, evaluation framework, prompt management, vector stores, memory layers, and tool integrations
Build robust data pipelines and feature pipelines that feed AI Agents with high-quality structured and unstructured data from our data lake ecosystem
Implement guardrails, safety checks, hallucination detection, and human-in-the-loop systems to ensure trustworthy and responsible AI
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Implement knowledge ingestion, indexing, and retrieval pipelines for RAG (Retrieval-Augmented Generation) and agentic GenAI systems, ensuring high recall, precision, and low-latency retrieval
Build and maintain data ingestion pipelines for batch and streaming data sources using tools/library like Kafka, LlamaIndex, LangChain, PyMuPDF, MSAL etc.
Implement layout-aware parsing to accurately preserve document structure, hierarchy, and reading order (using OCR, VLM, and multimodal AI solutions).
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Provide technical guidance and support to clients throughout the AI/ML project lifecycle.
Responsible for the end-to-end AI/ML solution lifecycle, from data ingestion and preparation to model training, deployment, monitoring, and optimization, ensuring seamless integration with existing client infrastructure and delivering measurable business value.
Stay up-to-date with the latest Google Cloud AI/ML features, updates, and emerging trends in Generative AI.
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Drive the adoption of next-generation AI technologies, including GenAI, LLMs, AI agents, computer vision, autonomous workflows, intelligent automation, and robotics platforms.
Shape the organisation’s long-term innovation agenda across AI-enabled operations, robotics deployment, digital labour, human-machine collaboration, and enterprise productivity.
Lead the development and deployment of AI and robotics use cases across areas such as intelligent automation, computer vision, autonomous systems, predictive analytics, decisioning engines, simulation, optimisation, and robotic process or physical automation.
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Escalate and follow up with the relevant stakeholder on problematic invoices.
Perform supplier reconciliation and follow up on any open items for closure.
Perform mployee travel and expenses reimbursement claims. Process and validating each claim and to ensure full compliance to company’s policies and procedures.
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We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Design and execute experiments to validate the ideas, developing prototypes that demonstrate tangible improvements.
Build cooperation, assess, and identify “Best-In-Class” within local institutions and universities for potential research and innovation collaboration.
Regular alignment with Strategic Research Portfolio Owner, quarterly project review updates, stakeholder management, and idea pitching via the Bosch Innovation Framework.
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Manage process validations (IQ, OQ, PQ), tooling trials, and Engineering Change Notifications (ECN) to ensure smooth implementation of product or process changes.
Drive continuous improvement initiatives to enhance OEE, optimize cycle time, and improve cost efficiency through lean and automation practices.
Collaborate with cross-functional teams, suppliers, and customers on technical clarifications, process improvements, and compliance with quality and regulatory standards (e.g., ISO 13485, FDA QSR).
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