# Senior Technical Leadership Role in Enterprise AI

**Company**: GSK
**Location**: Cambridge 300 Technology Square
**Experience**: senior
**Job type**: full-time
**Salary**: $205,425 to $342,375
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Cambridge-300-Technology-Square/Principal---Forward-Deployed-Engineer_450948?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-technical-leadership-role-in-enterprise-ai-d187ee11-311/

## Description

GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. You will act as the most senior technical authority in the Forward Deployed Engineering function, operating at enterprise scope with two equal mandates: setting the standards for AI-native, enterprise-level development across GSK and owning delivery outcomes for a defined portfolio of strategic business units.

**Responsibilities**

- Define and own enterprise-level development standards for AI solutions across GSK

- Set the enterprise technical direction for AI-native engineering

- Own the enterprise pattern library and reference platform

- Chair FDE technical design review and contribute to Enterprise AI architecture governance

- Own FDE delivery for a defined portfolio of strategic business units

- Lead the most complex, precedent-setting engagements personally

- Lead multi-FDE engagement teams

- Partner with Director and VP-level business unit leaders

- Act as the technical authority and escalation point for the FDE function

- Mentor and grow Staff and Senior FDEs

- Calibrate the technical hiring bar

- Partner with Enterprise Architecture, Data Platforms, Cyber Security, and Tech functions

- Influence vendor strategy and tooling choices

- Represent GSK's AI engineering practice externally

- Build governance in by design

- Report to Enterprise AI leadership on standards adoption, business unit delivery outcomes, and technical risk across the portfolio.

**Basic Qualification**

- 15 or more years of experience in software engineering and AI/ML engineering

- Bachelor's degree in computer science, Software Engineering, or equivalent practical experience

- Demonstrated track record of setting engineering standards, reference architectures, or platforms that were adopted at organizational or enterprise scale

- Proven track record of taking AI ideas from sketch to working software and production at speed

- Understanding of hands-on expertise in GenAI patterns

- Enterprise-level expertise in AI, ML, and data science

- Demonstrated daily use of AI coding agents

- Experience influencing and partnering with Director and VP-level business and technology leaders

- Prior responsibility for mentoring Staff- and Senior-level engineers

**Benefits**

- Health care and other insurance benefits

- Retirement benefits

- Paid holidays

- Vacation

- Paid caregiver/parental and medical leave

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## Skills

### Required
- AI Frameworks
- Algorithm Optimization
- Artificial Neural Networks (ANNS)
- Computer Programming
- Deep Learning
- Feature Engineering
- Google Cloud Platform (GCP) for Machine Learning
- Machine Learning Algorithms
- Machine Learning Operations
- Microsoft Azure Data and AI
- ML Frameworks
- Model Evaluation
- Model Training
- Model Validation
- Performance Optimizations
- Software Development Life Cycle (SDLC)

### Nice to have
- Principal, Distinguished, or Head of Forward Deployed Engineering-level experience at an AI-native company
- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Cambridge-300-Technology-Square/Principal---Forward-Deployed-Engineer_450948?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)