Automation Lead

Job Description

About Kidde Global Solutions: Kidde Global Solutions is a world leader in fire & life safety solutions tailored for complex commercial facilities to homes. Through iconic, industry-defining brands including Kidde, Kidde Commercial, Edwards, GST, Badger, Gloria and Aritech, we provide residential and commercial customers with advanced solutions and services to protect people and property in a wide range of applications, all around the globe. Role: AI and Automation Architect Location: Hyderabad Employment Type: Full-time Experience: 12-18 years Position Overview: We are seeking an innovative and experienced AI and Automation Architect to lead the design and development of intelligent AI and automation solutions by integrating RPA (Robotic Process Automation) bots with AI-driven technologies . The Architect will work closely with cross-functional teams to identify opportunities for automation, design scalable solutions, and drive business efficiency through cutting-edge AI-powered bots. Key Responsibilities: Automation Strategy and Design AI and BOT Integration Solution Development and Deployment using MLOps on AWS Cloud Platform Stakeholder Collaboration Governance and Compliance Innovation and Continuous Improvement Qualifications: Skills and Competencies: Develop and implement enterprise-wide intelligent automation strategies by integrating RPA with AI capabilities (e.g., natural language processing, machine learning). Analyze business processes to identify automation opportunities and recommend solutions. Define and establish automation frameworks and best practices. Architect and deploy AI-enabled bots that integrate with enterprise platforms like Service Now, Workday etc. Collaborate with AI engineers and data scientists to leverage machine learning models in automation workflows. Oversee the development and deployment of bots, ensuring they adhere to quality and security standards. Partner with business teams, IT departments, and process owners to understand automation needs and deliver impactful solutions. Establish MLOps / AIOps frameworks to ensure compliance with organizational and regulatory standards. Ensure automated solutions are secure, auditable, and aligned with data privacy laws (e.g., GDPR, CCPA). Stay updated on emerging technologies in AI and automation and assess their applicability to the organization. Drive continuous improvement in automation processes, leveraging feedback and analytics for optimization. Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, with a specialization in Data Science, ML or AI. Experience: 12+ years of experience in automation, including 3+ years in an architect or leadership role. Platform Development and Evangelism: Build scalable AI platforms that are customer-facing. Evangelize the platform with customers and internal stakeholders. Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Implement A/B testing of models. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture: Serve as an SME in LLM serving paradigms. Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization: Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models and Use Cases: Have extensive knowledge of different LLM models. Provide insights on the applicability of each model based on use cases. Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices.