Director - Automation Platform Architect

Overview

Leads the design, build and adoption of AI and agentic solutions in GSK's Automation Acceleration Hub, combining hands-on AI engineering with product management to turn high-value opportunities into solutions across DPTF.

What you'll do

• Identify, shape and prioritise high-value AI and automation opportunities across DPTF, linking each to strategy and to a measurable outcome rather than to a technology.
• Lead the design and delivery of AI and agentic solutions that accelerate delivery and operations, staying hands-on where that is what moves the work forward.
• Own the AI product roadmap and backlog, steering with OKRs and value metrics under lean portfolio principles.
• Build reliability and responsible-AI guardrails into solutions from the start, with clear service levels for AI services rather than best-effort operation.
• Partner with the platform domains to embed solutions in their operations, and transition ownership to them as solutions mature.
• Champion AI-native ways of working across DPTF, and treat adoption rather than deployment as the point at which a solution has landed.
• Measure and report the value and efficiency delivered by AI solutions, including where a solution did not deliver and has been stopped.
• Work with AI platform suppliers and model providers, holding them to performance and safety standards rather than accepting vendor assurance.
• Maintain a visible pipeline of assessed opportunities, so that Hub capacity is directed by value rather than by whoever asked most recently.
• Assess where agentic approaches are appropriate and where they are not, and record the reasoning so the judgement is reusable.
• Work within GSK information security, data and quality requirements, including GxP where a solution touches regulated activity, engaging those functions during design rather than at approval.
• Hold the boundaries with the Director, AI Platform Architect on AI platform architecture, the Principal AI Process Architect on process design, and the Principal AI Enablement Lead on adoption enablement.

What you'll need

• Degree in a technology, engineering, mathematics or computer science discipline, or equivalent practical experience.
• Typically 20+ years in engineering or technology delivery.
• At least three years building AI, machine learning or automation solutions in production rather than in pilots.
• Strong hands-on experience with AI and agentic solutions, including large language model and agent frameworks.
• Product management experience, covering opportunity assessment, roadmap and backlog ownership and value measurement.
• Track record taking an opportunity through to delivered and adopted value, not to proof of concept.
• Practical responsible-AI awareness, including where a use case should not proceed.
• Experience with machine learning operations, or an automation or robotic process automation background.
• Experience holding technology suppliers and model providers to performance and safety standards.
• Practical awareness of AI patterns and judgment for where AI adds genuine value.

Nice to have

• AI, machine learning or cloud certifications, together with product or agile credentials.
• Combination of engineering credibility and product judgement.
• Discipline to stop a solution that is not delivering value rather than continuing to invest.
• Judgement about where agentic approaches genuinely fit and where a simpler method is better.
• Ability to transition ownership to domains rather than retaining solutions in the Hub.
• Comfort engaging security, data and quality functions during design rather than at approval.
• Scepticism toward vendor and model provider claims, with the means to test them.

Details

• Location: Bengaluru Luxor North Tower.