Associate Director, Data & Agentic AI Engineer

• Design and build production data pipelines for your specific Labs and CMC domain, serving multiple downstream scientific consumers.

• Implement,  and enforce and extend our your team's patterns for agent-generated work, defining exactly what digital workers build and remediate autonomously versus what requires human review within your domain.

• Integrate digital workers into your team's specific orchestration and observability workflows, applying clear guardrails, tool designs, and human-in-the-loop controls.

• Lead the response to significant data quality incidents within your team's purview, from initial detection through to permanent resolution.
  

• Set the context standards for the team's Labs & CMC domains: how definitions, contracts, classification and lineage are captured in the governed context layer, so humans and digital workers can rely on them.

• Actively contribute to the broader Labs and CMC context layer by feeding your team's hands-on operational experience upward to evolve the platform.
  

• Execute data quality and governance standards for your team's domains, encoding them directly into the context layer so both humans and digital workers apply them by default.

• Lead local data quality initiatives to achieve measurable outcomes, such as reduced error rates, improved audit readiness, and better downstream AI performance.
  

• Extend our Design and deliver AI-grade data infrastructure for your team's specific AI system needss, including novel retrieval architectures, improved real-time data flows, and smart evaluation datasets.

• Manage the data lifecycle for AI systems within your domain, including versioning, drift monitoring, and the governance of AI artefacts.
  

• Design cloud data infrastructure for your team's domains, driving the adoption improve our of Infrastructure as Code (IaC) to improve and its deployment reliability.

• Build shared platform components used by multiple engineers and digital workers to reduce setup time for new Labs and CMC data projects.

• Set and enforce the code and documentation quality standards for your team, written explicitly for a hybrid workforce of humans and digital workers

• Mentor junior and mid-level engineers through pairing, code review, and direct feedback to visibly improve their capability and independence.
  

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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Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

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