Senior technical leadership role within the Enterprise AI team, focused on setting standards for AI-native development and owning delivery outcomes for strategic business units.
Locations (5)
Cambridge, Massachusetts, United States
Waltham, Massachusetts, United States
San Francisco, California, United States
Rockville, Maryland, United States
Overland, California, United States
Compensation
salary ranges from $205,000 to $342,575
Responsibilities
Define and own enterprise-level development standards for AI solutions across GSK — reference architectures, agentic delivery-automation workflows, delivery bot meshes, evaluation frameworks, and handoff hygiene.
Set the enterprise technical direction for AI-native engineering, establishing how agentic workflows and delivery bot meshes are designed, secured, monitored, and reused at scale.
Own the enterprise pattern library and reference platform, ensuring reusable agents, prompt templates, MCP integrations, and reference architectures.
Chair FDE technical design review and contribute to Enterprise AI architecture governance.
Own FDE delivery for a defined portfolio of strategic business units — engagement pipeline, prioritization, quality, and outcomes from intake to clean handoff.
Lead the Forward Deployed Engineering function within Enterprise AI, proving AI ideas through PoCs, PoVs, and MVPs before handing them off for scale. This is a hands-on leadership role requiring technical depth in AI-augmented engineering.
Responsibilities
Lead the Forward Deployed Engineering function, owning strategy, structure, hiring, development, and standards.
Hire, mentor, and develop the FDE team, creating development paths from G8 through to G5.
Set the standards for AI-native engineering practice (agentic delivery-automation workflows, delivery bot meshes, prompt and pattern libraries).
Set the bar for AI, ML, and data science rigor across the function, including evaluation standards and model validation.
Own relationships with Director and Senior Director-level business unit sponsors.
Requirements
Bachelor's degree in computer science
Software Engineering
Nice to have: Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI)
Nice to have: Master's degree in computer science or a related field
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)
Forward Deployed Engineers build and prototype AI solutions within business unit teams, using AI coding assistants and multi-agent workflows to deliver AI proofs of concept.
Locations (4)
Cambridge, Massachusetts, United States
Waltham, Massachusetts, United States
Rockville, Maryland, United States
San Francisco, California, United States
Compensation
If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $95,700 to $159,500.
Responsibilities
Contribute to BU use case engagements—prototyping, demoing, refining—under senior FDE guidance
Senior individual contributor engineer leading forward deployed engineering engagements, embedding with business units, prototyping AI solutions, mentoring junior engineers, and ensuring production-ready delivery.
Locations (4)
Cambridge, Massachusetts, United States
Waltham, Massachusetts, United States
Rockville, Maryland, United States
San Francisco, California, United States
Compensation
If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $131,175 to $218,625.
Responsibilities
Own full engagement lifecycle from problem framing to working prototype
Senior Full Stack AI Engineer in GSK’s Enterprise AI team, responsible for building and delivering AI prototypes and solutions directly embedded with business unit teams.
Responsibilities
Take ownership of high-priority BU use cases from problem framing to working prototype at days-to-weeks cadence
Ship first production versions directly for use cases where the path is clear
Operate AI agent workflows for autonomous prototype delivery
Use AI coding assistants as the default mode of building
Embed with BU teams, attend standups, understand domain, prototype against real data
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
Master’s degree/ Ph D in Mathematics, statistics, computer science or related field is advantageous
Nice to have: Prior experience as a Forward Deployed Engineer at an AI-native company
Nice to have: Experience as a Customer Engineer / Solutions Architect at a hyperscaler
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)
Lead the Forward Deployed Engineering function with direct line management of the FDE team, set strategy, engage with business units, and contribute technically at the frontier of AI-augmented engineering.
Responsibilities
Lead the Forward Deployed Engineering function—strategy, structure, hiring, development, and standards
Hire, mentor, and develop the FDE team—creating development paths from G8 through to G5
Set the standards for AI-native engineering practice within the function—agent workflows, prompt and pattern libraries, handoff hygiene
Own relationships with Director and Senior Director-level BU sponsors across business units that bring AI use cases to Enterprise AI
Take on the most strategic FDE engagements personally
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience
Master’s degree/ Ph D in Computer Science, Mathematics or statistics or related field is advantageous
Nice to have: Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI, or similar)
Nice to have: Experience in regulated industries (pharma, healthcare, financial services)
Nice to have: Experience setting AI engineering standards at organisational scale