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Added 1 min ago
AI Designer, IC2
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Added 1 min ago
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(USA) Summer 2027 Corporate Intern: Last Mile Delivery Data Science Intern
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- $21 to $40 USD / hour
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Added 1 min ago
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GlaxoSmithKline LLC

Engineer I - Forward Deployed Engineer

Remote, United States

$95,700 to $159,500 USD / year

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Job details

Pay: $95,700 to $159,500 USD / year
Experience: 1+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field.
Posting language: English
Posted: Nov 6, 2026

Original job description

Business Introduction

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

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.

#GSK-LI #AGTech

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.

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com

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.

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/

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More about this job

Skills

GitHub
Databricks
Go
Documentation
Machine learning
Python
TypeScript
JavaScript
Data analysis
Computer programming
Deep learning
Google Cloud
Microsoft Azure
ML
Recruitment
Communicable diseases

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