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GSK

Engineer I, Forward Deployed Engineer

GSK is hiring an Engineer I, Forward Deployed Engineer. Level rates it ; you can apply on GSK.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this forward deployed engineer role: the daily work is on AI products, without building the model.
  • The posting mentions Claude, Copilot and Databricks among its tools and skills.
  • Level classes it as a senior role.
  • GSK has 938 other open roles on Level.
  • Posted in the last few days.

AI in this role

claudecopilotdatabricksclaude-code
prompt-engineeringragai-agentsai-evaluationai-safety

About the Role:

GSK’s Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineers are the builders at the front of the delivery pipeline — embedded with business unit teams, prototyping AI ideas at a days-to-weeks cadence and handing proven solutions off cleanly for scale-up.


The Engineer-I is a mid-level individual contributor in the FDE team. This role contributes to FDE engagements under the direction of more senior FDEs, learning the practice through hands-on work. Most prototyping is AI-augmented: AI coding assistants and multi-agent workflows handle the bulk of routine code, and learning to use them fluently is part of the role. The FDE does not carry use cases to long-term operations — clean handoff is part of the job.


Why This Role Exists:

Enterprise AI needs engineers who can contribute to embedded prototype work alongside domain experts. The role builds the pipeline of senior FDE capability the function needs as its portfolio grows.

  • Contributes to prototyping under the direction of Lead and Senior FDEs — shipping working AI proofs of concept with BU teams.
  • Builds AI-native fluency using AI coding assistants and multi-agent workflows as the default mode of work.
  • Learns the FDE practice from more senior team members through hands-on engagements and direct mentorship.

Key Responsibilities:


FDE Engagement Contribution

  • Contribute to BU use case engagements — prototyping, demoing, refining — under the direction of more senior FDEs.
  • Embed with BU teams alongside the Lead or Senior FDE, building working relationships with BU engineers and product owners.

AI-Native Engineering

  • Operate AI agent workflows under guidance — contributing to multi-agent prototype delivery.
  • Use AI coding assistants as the default mode of building; develop genuine fluency with Claude Code, GitHub Copilot, and Databricks AI Assistant.

Delivery & Handoff

  • Contribute to clean handoff packages for the Solutions Engineer — documentation, runbooks, and working software.
  • Apply existing patterns from the FDE pattern library; contribute small refinements to patterns as experience develops.

Governance & Learning

  • Support Code Orange, Responsible AI, and Accountability Report conversations during prototyping alongside more senior FDEs.
  • Actively learn the FDE practice from more senior team members; seek feedback and apply it rapidly.

Required Experience

  • At least 5+ years of full-stack or AI/ML engineering experience, with demonstrated ability to take ideas from sketch to working software.
  • Working proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar.
  • Hands-on experience with GenAI patterns: agents, multi-agent orchestration, RAG, and prompt engineering.
  • Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.

Preferred Experience:

  • Customer-facing engineering work — startup, lab, or innovation-team background.
  • Familiarity with regulated industry constraints.
  • Contribution to reusable engineering patterns in a previous team.

Education:

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience


Skills

AI Frameworks, Computer Programming, Deep Learning, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation

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.

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.

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GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.

If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

How we rate this

Engineer I, Forward Deployed Engineer at GSK rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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

Prompt engineeringRAGAI agentsAI EvaluationAI SafetyClaudeCopilotDatabricks

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 do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. How do you decide that one model's output is better than another's for a given task?
  5. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Evaluation, and AI Safety. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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