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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director, Automation Acceleration Hub - **Company:** GSK LLP - **Location:** Collegeville, PA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Configuration Management, Continuous Integration, Data Center Infrastructure Management (CIM), DevOps, Disaster Recovery, Identity and Access Management, Machine Learning, Automation of Marketing, Performance Tuning, Cloud Services, Tensorflow, Software Engineering, Software Vulnerability Management, Policy as Code, Scripting, Microsoft Power Automate, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Uipath, Information Technology, Machine Learning Operations, Blue Prism, Automation Anywhere, Devsecops - **Published:** August 6, 2026 - **Apply:** http://hbcu.com/cgi-bin/jobs/searchJobs.cgi?job_id=35171634 ## About the Role * 12+ years of progressive technology leadership experience, with at least 5 years leading enterprise AI engineering, platform engineering, DevOps/DevSecOps, or intelligent automation organizations at the SERNIOR DIRECTOR or equivalent level. * Demonstrated ownership of enterprise AI and automation delivery — designing, building, and deploying solutions at global scale with measurable business impact. * Deep, current subject matter expertise in modern AI architecture and engineering — LLMs, generative AI, agentic systems, classical ML, and the supporting MLOps/LLMOps tool ecosystem. * Proven experience running large-scale DevSecOps platforms — CI/CD, secure-by-design pipelines, policy-as-code, supply chain security, and developer experience as a product. * Track record of building and scaling enterprise RPA or intelligent automation capabilities, including the operational discipline required to run a reliable bot estate. * Experience defining frameworks, reference architectures, reusable AI assets, and golden paths adopted across multiple teams or business units. * Strong record influencing executive stakeholders and translating complex technical strategies into clear, business-aligned action; effective as the bridge between strategy, platforms, and delivery. * Experience leading delivery in regulated, mission-critical environments with rigorous governance, security, and risk requirements; strong execution discipline balancing strategic vision with pragmatic delivery. * Experience leading distributed teams across multiple geographies, including the US, UK, and India., * Advanced degree (MS or PhD) in Computer Science, Machine Learning, Software Engineering, Statistics, or a related quantitative discipline; MBA a plus. * Experience in global, highly regulated industries such as bio-pharma, healthcare, life sciences, or financial services. * Hands-on credibility with leading AI frameworks (PyTorch, TensorFlow, JAX), foundation model platforms, retrieval and vector technologies, agent orchestration frameworks, and modern DevSecOps toolchains. * Experience with major RPA platforms (UiPath, Blue Prism, Automation Anywhere, Power Automate) and converging RPA with agentic AI patterns. * Demonstrated success rationalizing fragmented AI, automation, or platform estates and accelerating adoption of shared platforms and reusable services. * Thought leadership through industry forums, publications, patents, or contributions to AI, automation, or DevSecOps standards; experience integrating capabilities post-M&A and through large-scale operating model transformation., CI/CD, Cloud Based Services, Configuration Management (CM), Data Center Infrastructure Management (DCIM), Disaster Recovery (DR), Financial Operations, Identity Access Management (IAM), Incident Management, Operating Systems (OS), Performance Tuning, Scripting, System Monitors, Vulnerability Management ## Description * Translate enterprise AI strategy into measurable business outcomes. * Drive execution across AI engineering, automation, and platform teams. * Manage portfolio prioritization, investment decisions, delivery governance, and value realization. Build and Scale Enterprise AI Capabilities * Lead the development and deployment of AI solutions, agents, and automation platforms. * Establish enterprise standards, reusable architectures, and AI-first engineering practices. * Accelerate adoption of AI across the technology organization through enablement, education, and best practices. Own the Automation & Platform Ecosystem * Lead GSK's enterprise RPA and intelligent automation capabilities. * Own DevSecOps platforms, CI/CD, developer experience, security, compliance, and operational excellence. * Drive convergence of traditional automation, AI, and platform engineering into a scalable operating model. Govern AI Responsibly * Establish trusted, compliant, and scalable AI governance frameworks. * Partner with Security, Legal, Privacy, Quality, and Compliance teams to ensure safe deployment in regulated environments. * Champion Responsible AI principles, operational resilience, and enterprise risk management. Inspire and Develop High-Performing Teams * Lead and grow a global team across AI Engineering, Automation, and Platform Engineering. * Influence executive stakeholders and technology leaders across the enterprise. * Represent GSK externally with strategic partners, technology providers, and industry forums. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [How to achieve web automation with UiPath](https://www.wearedevelopers.com/videos/310-how-to-achieve-web-automation-with-uipath) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [RPA crash course for .Net developers – intro into the world of RPA from the perspective of a .Net developer](https://www.wearedevelopers.com/videos/271-rpa-crash-course-for-net-developers-intro-into-the-world-of-rpa-from-the-perspective-of-a-net-developer) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? 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