Senior Lead-AI Engineer

Position Summary
This role owns agent reliability, observability, and trust controls. Monitors system health, trace logs, response quality, and hallucination signals; establishes detection thresholds and alerts. Works closely with the AI platform team to diagnose issues, improve guardrails, and ensure stable, compliant operation in production

AI Engineer will:

• Monitor data changes in ServiceNow-SNOW (Views in Databricks) for any inconsistencies that affect agents’ reliability.

• Controls and monitors data access points (SNOW/Azure/unstructured data, Documentation etc)

• Consults proposed changes with Tech/Business.

• Design and develops quick changes to data pipelines, agents, interfaces

• Trains end users on prompt usage and best practices; tests and refines existing prompts; identifies new prompts aligned to evolving business needs. Partners with the Business Product Owner to ensure a closed-loop learning system, where user feedback, agent performance metrics, and production outcomes are systematically incorporated to improve prompt effectiveness and accuracy.

• Ensures prompts are strictly scoped to Master Control Framework (MCF) - defined domains, controls, and measures, preventing drift into non-authoritative logic.

• Confirms that agent responses triggered by prompts map directly to defined MCF elements such as control IDs and calculation logic. Validates reliance on MCF-authoritative data sources and enforces refusal or escalation behaviour when queries fall outside MCF scope or require human judgment.

• Translates user feedback insights into prioritized enhancement requests.

• Partners with Tech to improve agent usability, response clarity, and front-end experience without altering approved business logic.

• Translates business needs into deliverable increments, and ensures alignment across architecture, security, and platform standards

• The role combines technical knowledge and expertise (hands-on) with functional knowledge of Risk management.

Responsibilities

• Builds and deploys machine learning and Gen AI solutions for FRMC user requirements. 

• Develops small, easy and fast changes, automation of the maintenance tasks, data pipelines, agents, interfaces in cooperation with Business/Tech/DA Team

• Partners with Tech and FRMC business AI governance and users to improve agent usability, response clarity, governance, and front-end experience without altering approved business logic.

• Prioritizes and converts user feedback and business needs into deliverable increments, ensuring alignment with architecture, security, and platform standards. First line tester for any changes and enhancements.

• Through using LLMs, and prompt engineering supports the ongoing maintenance and continuous improvement of AI agents in FRMC

• Confirms that agent responses triggered by prompts map directly to defined master control framework, controls testing, and risk and control process elements such as control IDs and calculation logic according to the AI agent’s role.

• Controls and monitors data access points (SNOW/CO/unstructured data, GSOPs etc) Monitor process (business) and/or technology changes to act promptly without interruption of the solution.

• Ensure documentation, trainings, governance rules (Tech Azure governance) are updated and available Partners with the Business Product Owner to ensure a closed-loop learning system, where user feedback, agent performance metrics, and production outcomes are systematically incorporated to improve prompt effectiveness and accuracy.

• Maintain and share a detailed understanding of the underlying service landscape and the tools/platforms used 

• Validates reliance on FRMC AI agents -authoritative data sources and enforces refusal or escalation behaviour when queries fall outside MCF scope or require human judgment.

Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Bachelor’s degree in computer science, engineering, data science or related field.

• 5+ years of hands-on experience building and/or modifying Azure Web applications (Azure Webapps) and use of Azure AI solutions

• Strong Python skills and experience with AI frameworks (Lang*) + FastAPI, Kong, Pydantic, Spark

• Experience with MS Azure products and concepts (Databricks, ADF, Genie, WebApps, AppServices, KeyVault etc) and containerization (Docker, Kubernetes).

• Solid understanding of data engineering: SQL, views, blob storage, data models

• Experience using GitHub, *.Json,*.Js, Jupyter, *.yaml, *.sh

• Understanding of the Azure deployment process

• Good communication and collaboration skills for working in cross-functional teams.

Additional Qualification
If you have the following characteristics, it would be a plus:
- Master’s degree or higher in software engineering field.
- Experience in finance/Finance controlling/Financial Risk management environment

- Experience with creating AI agents in Azure environment using Python/WebApps
- Knowledge of large language models, generative AI and fine-tuning techniques.

- Experience in working with unstructured data (vectorisations etc)
- Familiarity with model governance, privacy-preserving techniques and bias mitigation.
- Experience working in highly regulated, international and distributed environments.

 

Skills

Business Forecasting, Business Reporting Tools, Data Storytelling, Digital Fluency, Financial Modeling, Financial Performance Improvement, Influencing Without Authority, Insight Generation, Problem Solving

 

 

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.

Inclusion at GSK:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

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

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