Description
GSK is seeking an Automation Architect to own the technical design of a DPTF platform, defining reference architectures, patterns, and standards that make solutions secure, scalable, and consistent.
The role provides design assurance across the platform's services, architects for reliability and resilience, and designs AI into the platform through reference patterns for AI-assisted delivery and intelligent operations.
Key responsibilities:
- Define reference architectures, patterns, and standards for the platform, aligned to DPTF strategy and enterprise architecture.
- Design AI into the platform, producing reference patterns for AI-assisted delivery and intelligent operations.
- Architect for reliability and resilience by design, ensuring platform SLOs and error budgets are achievable.
- Provide design assurance and technical guidance to engineering teams, reviewing designs against standards.
- Ensure platform solutions are secure and compliant, including GxP requirements.
- Evaluate and introduce new technologies, measuring results against architecture OKRs.
- Set architecture standards for supplier and managed-service solutions.
- Partner with Enterprise Architecture and Information Security on standards, roadmaps, and exceptions.
- Increase pattern reuse across the platform and reduce rework.
- Advise the Product Owner and Platform Manager on architectural consequences of roadmap choices.
Requirements:
- Degree in a technology or engineering discipline, or equivalent practical experience.
- Typically 15+ years in technology architecture or senior engineering, including at least three years producing reference architectures or standards.
- Deep hands-on depth in the relevant platform domain (cloud, network, or digital workplace).
- Experience running design assurance or architecture review, and track record of architecting for reliability and resilience.
- Experience designing secure and compliant solutions, ideally including GxP or another regulated context.
Desirable skills:
- Hands-on experience architecting and building AI/agentic systems.
- Experience assessing data readiness and flagging risks.
- Working knowledge of at least one pharma value chain area.
- Background spotting reusable patterns and turning them into shared technical capability.
- Ability to influence engineering teams without line authority.
- Judgement about when to grant an architectural exception and when to hold the standard.
- Clear design documentation and comfort challenging vendor claims.