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Senior, Forward Deployed / Full Stack Engineer (Document Authoring & Knowledge Systems)

GSK is hiring a Senior, Forward Deployed / Full Stack Engineer (Document Authoring & Knowledge Systems) in London, United Kingdom. Level rates it ; you can apply on GSK.

Level's read on this job

  • Builds AI ●●●● is how Level rates this forward deployed engineer role: the job is building AI systems.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions OpenAI, Claude and Anthropic among its tools and skills.
  • GSK has 952 other open roles on Level.
  • Posted in the last few days.

AI in this role

openaiclaudeanthropiccopilotdatabricksclaude-code
ragai-agentsai-evaluationai-safety

Senior, Forward Deployed / Full Stack Engineer (Document Authoring & Knowledge Systems)

About GSK Enterprise AI

Enterprise AI is GSK’s centre of gravity for applied artificial intelligence. We pair forward deployed engineers and full-stack engineers with scientific, clinical, and business teams to build AI products that get used — not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients.


GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team — we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma.


Position Summary

GSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. The Forward Deployed Engineer (FDE) is the engineer GSK sends in to find out whether an AI idea will work — embedded with business unit (BU) teams, proving ideas through proofs of concept (PoCs), proofs of value (PoVs), and minimum viable products (MVPs) at a days-to-weeks cadence, then handing the proven solution off to the Sr. Solutions Engineer for scale-up. The pattern is proven by AI-native companies — Anthropic, Palantir, OpenAI — and this role brings that model to GSK.


This specific role sites in the Chemical Manufacturing & Control (CMC) area. This is the GSK function that turns a validated molecule into a reliably manufactured, quality-assured medicine; its mission is to get safe, effective, consistently manufactured medicines to patients, faster. Its current mission is to double New Product Introductions (NPIs).


As a Senior Forward Deployed Engineer, you’ll be embedded in a team shaping how AI transforms GSK’s process development around the world. Most prototyping work is AI-augmented: AI coding assistants and multi-agent workflows handle the bulk of routine coding, freeing the FDE to focus on framing, judgement, and validation. The role works directly inside the customer’s business and emerges with working software and a defensible value hypothesis, not slideware. The FDE does not carry use cases through to long-term operations and partner with the Sr. Solutions Engineer is part of the role.


This role will build the document authoring and generation capabilities to foster our filing strategy that feed a global single thread for regulatory filing documents. You will work on key regulatory documents and automate as much of the work as possible with agents after a lean, AI-native redesign of the business process. You will also need to define an end-to-end knowledge system. You will work hand in hand with the data analytics team & Tech partners in research to define the knowledge system, the agentic layer across the enterprise. You bring deep, hands-on AI/engineering expertise and the judgement to turn ambiguous technical problems into shipped, production-grade systems, while mentoring the engineers around you.



Key Responsibilities

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:


PoC / PoV / MVP Delivery

  • Take ownership of high-priority BU use cases from problem framing through to a working prototype, at days-to-weeks cadence, and form a defensible view on whether each should progress.
  • Ship first production versions directly for use cases where the path is clear — before the Sr. Solutions Engineer takes them forward to scale.

 

AI-Native Engineering

  • Operate AI agent workflows (planning, coding, testing, review, documentation) for autonomous prototype delivery — selecting the right level of automation for each engagement.
  • Use AI coding assistants as the default mode of building; provide judgement, course correction, and validation.
  • Design human-in-the-loop workflows for document authoring and review — approval gates, inline SME review and feedback capture, confidence-based escalation, and full audit trails suitable for good practice regulations (GxP) and regulatory use.
  • Build agent and large language model (LLM) evaluation — curated golden datasets, automated evals (including LLM-as-judge calibrated against expert review), regression testing and production monitoring for retrieval, generation and agent behaviour, with metrics shared with BU and quality stakeholders.

 

Customer Embedding & Handoff

  • Embed with BU teams — attend standups, understand the domain, prototype against real data and real workflows.
  • Package proven use cases cleanly for the Sr. Solutions Engineer — working code, architecture rationale, open risks, and scaling concerns.

 

Governance, Standards & Coaching

  • Begin Code Orange, Responsible AI, and Accountability Report conversations during prototyping — so the productionisation team does not inherit governance debt.
  • Contribute reusable agents, prompt templates, and reference architectures to the organisation’s pattern library after each engagement.
  • Form and defend kill/continue recommendations at the end of each engagement — presenting clearly to BU and Enterprise AI leadership.
  • Coach BU engineers on AI-augmented ways of working while embedded, building BU capability alongside delivery outcomes.



Why You!

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

  • Strong full-stack or AI/ML engineering experience, including production deployments.
  • Demonstrated ability to build and ship production full-stack applications and APIs, from backend services to user interfaces.
  • Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.
  • Hands-on experience with GenAI patterns: retrieval-augmented generation (RAG), agents, document authoring and generation, human-in-the-loop review design, and agent/LLM evaluation (eval datasets, automated and expert-in-the-loop scoring, regression testing).
  • Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search.
  • Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.

Preferred Experience

  • Prior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar), or as a Customer Engineer / Solutions Architect at a hyperscaler.
  • Experience with regulatory filing documents (e.g. Common Technical Document (CTD) CMC sections) or other GxP documents, and with document authoring, review and validation workflows.
  • Experience in regulated industries (pharma, healthcare, financial services) and familiarity with GxP, General Data Protection Regulation (GDPR), and Sarbanes-Oxley (SOX).
  • Experience partnering with data analytics, data science, or process science teams to turn analytical models into shared, reusable products.
  • Track record of contributing reusable engineering patterns back to a broader team.

Education

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous.



Ready to apply?
If this role excites you and matches your experience, we would love to hear from you. Please submit your application and a short note telling us why you want to join and what you would bring to this role. We look forward to hearing from you. If you need adjustments during the process, tell us and we will support you.

 

(Please take a personal copy of the Job Description, as this will not be available online post closure of the advert)

 

 

Closing Date:   10th November 2026

  

 

Working Pattern
This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available.


Locations:

1) HQ Central London or

2) Stevenage - This role can be temporarily be based at Stevenage location. However, the Company plans to relocate its offices to Ware, UK. The location of this role will therefore subsequently change to Ware, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.”  

 

#AGTech

#LI-Hybrid



What we value
You are practical, inclusive and open to feedback. You bring technical understanding and strong empathy for users. You work in active voice and keep communication simple. You support colleagues and help teams make confident, evidence-based decisions. You want to grow your product and security skills while delivering outcomes that matter.

What you will gain
You will join a supportive team that values clear communication and practical problem solving. You will have access to learning and development to grow both technical and leadership skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes.


Skills

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)

 

 

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.

 

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

 

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

 

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.

 

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a  Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

 

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

 

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

How we rate this

Senior, Forward Deployed / Full Stack Engineer (Document Authoring & Knowledge Systems) at GSK rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsAI EvaluationAI SafetyOpenAIClaudeAnthropicCopilot

Also common in forward deployed engineer jobs at this level

Pay

Typical forward deployed engineer job
$180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you decide that one model's output is better than another's for a given task?
  4. How do you think about the risk of an AI system in this kind of role failing silently?
  5. Walk me through how you've used OpenAI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, AI Evaluation, AI Safety, and OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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