Job Description

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.

Key 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

    • Why you? 

    Basic Qualifications:

  • 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.

    • 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

    • #LI-GSK

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

    Why GSK?

    Uniting science, technology and talent to get ahead of disease together.

    GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

    People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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