AI Solutions Architect

You are a highly skilled and hands-on AI Solution Architect being sought to join a team dedicated to driving the development of a cutting-edge AIOps platform. Your role will involve designing and implementing AI-driven solutions that enhance automation, observability, and incident response across complex enterprise environments. **Key Responsibilities:** - Architect and lead the development of an enterprise-grade AIOps platform utilizing machine learning, deep learning, and advanced analytics. - Design scalable AI pipelines for anomaly detection, predictive analytics, root cause analysis, and intelligent alerting. - Collaborate cross-functionally with engineering, DevOps, and IT teams to integrate AI capabilities into existing operational workflows and tools. - Evaluate and select appropriate technologies, frameworks, and cloud-native services in Azure and GCP for real-time data ingestion, processing, and model deployment. - Ensure platform reliability and performance focusing on scalability, security, and maintainability. - Mentor and guide engineering teams on AI architecture best practices and model lifecycle management. - Stay updated with emerging trends in AIOps, MLOps, and IT automation to evolve the platform continuously. **Basic Qualifications:** - Bachelor's or master's degree in computer science, Data Science, Machine Learning, or a related field. - Experience as a Solution Architect or AI/ML Architect in enterprise environments. - 3+ years of hands-on experience building AIOps platforms and solutions in IT environments. - Experience in IT Operations, infrastructure monitoring, incident management, and observability tools. - Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and data engineering tools like Spark, Kafka, and Airflow. - Proficiency in Python and knowledge of key AI/ML libraries like TensorFlow, PyTorch, and HuggingFace. - Experience with cloud platforms like Azure and Google Cloud Platform (GCP) and their native Data and AI/ML toolsets and services such as ADLS, Azure Machine Learning, Azure Foundry, GCS, and GCP Vertex AI. Hands-on expertise in working with Large Language Models (LLMs) and Generative AI tools. **Preferred Qualifications:** - Experience with log and metrics analysis, time-series forecasting, and NLP for IT ticket classification. - Knowledge of MLOps practices for model deployment, monitoring, and governance. - Exposure to tools like ServiceNow, Datadog, Prometheus, Grafana, ELK Stack, etc. - Certified in AI engineering in Azure and GCP. The company, GSK, is a global biopharma company that aims to positively impact the health of 2.5 billion people by the end of the decade. Their focus areas include respiratory, immunology and inflammation; oncology; HIV; and infectious diseases. GSK is committed to creating an environment where their people can thrive and focus on making a difference in patients" lives.,