Job Purpose
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
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
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. Go beyond vibe coding: contribute to building agentic workflows that automate delivery, and work with delivery bot meshes as part of day-to-day engineering.
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.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- 1+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field.
- Experience programming in Python and at least one additional programming language, such as TypeScript, JavaScript, Go, or a similar language.
- Experience developing generative AI solutions using one or more of the following: large language models, agents, multi-agent orchestration, retrieval-augmented generation (RAG), or prompt engineering.
- Experience applying AI, machine learning, or data science methods, such as supervised or unsupervised learning, model training, model evaluation, feature engineering, or data analysis.
Preferred Qualification
If you have the following characteristics, it would be a plus:
- Experience in a customer-facing, embedded engineering, startup, laboratory, consulting, or innovation-team environment.
- Experience building agentic workflows, developer automation, or multi-agent delivery systems.
- Experience working in a regulated industry, such as biopharma, healthcare, financial services, or another environment with formal governance requirements.
- Experience contributing to reusable engineering patterns, shared libraries, templates, or internal developer platform.
What Success Looks Like
In the first 12 months, the person in this role will have:
- Contributed meaningfully to at least two FDE engagements, with feedback from senior FDEs confirming growing independence in prototyping and delivery.
- Shipped working AI prototypes that have been handed off cleanly to the Solutions Engineer for productionisation.
- Demonstrated daily fluency with AI coding assistants as the primary mode of building — not as an occasional aid.
- Built positive working relationships with at least one BU team, becoming a recognised contributor rather than a background participant.
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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
• 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. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
