AI Solutions Architect

GSK

1d

About The Position

We’re seeking a highly skilled and hands-on AI Solution Architect to join our team and help drive the development of a cutting-edge AIOps platform. This individual will play a pivotal role in designing and implementing AI-driven solutions that transform IT Operations—enhancing automation, observability, and incident response across complex enterprise environments. As a key member of our architecture team, you will collaborate with data scientists, engineers, and IT stakeholders to architect AI-driven solutions that proactively detect, diagnose, and resolve operational issues across complex infrastructure and application landscapes. We are seeking someone who enjoys building real world systems in production environments.

Requirements

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or 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.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data engineering tools (e.g., Spark, Kafka, Airflow) and knowledge graphs.
• Experience in Python and familiar with key AI/ML libraries (e.g., TensorFlow, PyTorch, HuggingFace).
• Experience with cloud platforms such as Azure and Google Cloud Platform (GCP), including their native Data and AI/ML toolsets and services like ADLS, Azure Machine Learning, Azure Foundry, GCS and GCP Vertex AI.
• Experience with container orchestration technologies like Kubernetes, and hands-on expertise in working with Large Language Models (LLMs) and Generative AI tools.

Nice To Haves

• 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

Responsibilities

• Architect and lead the development of an enterprise-grade AIOps platform leveraging 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 to support real-time data ingestion, processing, and model deployment.
• Ensure platform reliability and performance, with a focus on scalability, security, and maintainability.
• Mentor and guide engineering teams on best practices in AI architecture and model lifecycle management.
• Stay current with emerging trends in AIOps, MLOps, and IT automation to continuously evolve the platform

Benefits

• Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees