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Staff

  • Remote
  • 6+ years

Salary

Not stated

Similar roles pay $175K - 240K a year · our estimate

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Description

Business Introduction

The company remains committed to achieving bold commercial ambitions for the future.

Our Ahead Together strategy is centered 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.

Position Summary

The company's Enterprise AI team builds AI solutions that prove value fast and scale to production. Forward Deployed Engineering is the front of the Enterprise AI delivery pipeline — proving AI ideas with the business through PoCs, PoVs, MVPs, and, where appropriate, first production versions, before handing proven solutions to Solutions Engineering for scale-up — bringing to the company a model proven by AI-native companies such as Anthropic, Palantir, and OpenAI.

You will lead the Forward Deployed Engineering function, with direct line management of the FDE team (Lead, Senior, and Forward Deployed Engineers in a flat reporting structure), setting FDE strategy and engagement priorities, owning Director-level business unit sponsor relationships, and representing Enterprise AI on FDE matters to the company leadership.

Enterprise AI's credibility with the business depends on engineers who can land inside business unit problems, prove value quickly, and hand off cleanly; you will build and lead the function that makes this happen. This is a hands-on leadership role for someone who keeps their judgment grounded in current AI engineering reality: continuing to contribute technically on the most strategic engagements at the frontier of AI-augmented engineering, while building a team that delivers at pace and grows toward greater seniority. Humans steer; agents execute.

Responsibilities

  • This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
  • Lead the Forward Deployed Engineering function, owning strategy, structure, hiring, development, and standards, with a clear engagement pipeline that delivers at pace.
  • Hire, mentor, and develop the FDE team, creating development paths from G8 through to G5 with clear milestones and active coaching.
  • Set the bar for AI, ML, and data science rigor across the function, including evaluation standards, experimental design, and model validation, acting as the final technical authority on modeling approach for strategic engagements.
  • Own relationships with Director and Senior Director-level business unit sponsors, bringing AI use cases to Enterprise AI and sustaining engagement through the delivery cycle as a credible, high-value partner rather than a vendor.
  • Take on the most strategic FDE engagements personally, staying hands-on on the engagements that set precedents for the function.
  • Make and defend portfolio-level kill/continue decisions across FDE engagements with business unit and Enterprise AI leadership, translating AI engineering possibility into business outcomes.
  • Track the frontier of AI/ML research and translate advances into practical guidance for the team.
  • Coordinate with Solutions Engineering and Operations Engineering on the delivery pipeline and represent FDE in Enterprise AI leadership forums.
  • Influence vendor strategy and tooling choices for AI-native engineering practice within Enterprise AI.
  • Build governance in by design, ensuring the FDE function operates within Code Orange, Responsible AI, and Accountability Report governance from the prototype stage onward, not bolted on afterward.
  • Report to Enterprise AI leadership on FDE function performance — engagement pipeline, outcomes, team development, and capacity.
  • Why You ?
  • Basic Qualification
  • We are seeking professionals with the following required skills and qualifications to help us achieve our goals
  • 12 or more years of experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions.
  • Bachelor's degree in computer science, Software Engineering, or equivalent practical experience.
  • Proven track record of taking AI ideas from sketch to working software at speed in customer-facing engineering roles.
  • Strong technical depth in GenAI patterns, including agents, multi-agent orchestration, RAG, and evaluation.
  • Recognized expertise in AI, ML, and data science — classical ML, deep learning, LLMs and foundation models, statistical and causal inference, and MLOps at scale — with the credibility to evaluate and challenge modeling decisions across a portfolio of engagements.
  • Demonstrated daily use of AI coding agents, such as Claude Code, GitHub Copilot, or Databricks AI Assistant, as the primary mode of development, going beyond vibe coding, with experience designing agentic delivery-automation workflows and delivery bot meshes and setting standards for their use across a team.
  • Experience hiring, mentoring, and developing senior engineering talent, and building an engineering function's structure, standards, culture, and ways of working.
  • Track record of representing engineering functions to senior business stakeholders.
  • Preferred Qualification
  • If you have the following characteristics, it would be a plus
  • Prior leadership experience at an AI-native company (Anthropic, Palantir, OpenAI, or similar), such as Head of Forward Deployed Engineering, Director of Solutions, or equivalent.
  • Master's degree in computer science or a related field.
  • Experience in regulated industries (pharma, healthcare, financial services).
  • Experience setting AI engineering standards at organizational
  • The company-LI

Requirements

  • AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)
  • Please visit the company US Benefits Summary to learn more about the comprehensive benefits program the company offers US employees.
  • Why the company?
  • Uniting science, technology and talent to get ahead of disease together.
  • The company is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. 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 the company, please contact the appropriate Recruitment Staff by emailing us at - the company's site
  • Important notice to Employment businesses/ Agencies
  • The company 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 the company's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to the company. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and the company. 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 the company. The company 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, the company may be required to capture and report expenses the company 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 the company’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/

Where you’d work

Fully remote

You can work from

  • United States
  • United Kingdom

About the company

Company hidden

  • Industry: HealthTech

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 4 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Google Cloud
  • Azure
  • LLMs
  • RAG
Seniority
Staff
Type
Full-time
Industry
HealthTech
Specialty
Forward Deployed
Region
United States
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Seniority
Staff
Experience
6+ years
Tech stack
  • Google Cloud
  • Azure
  • LLMs
  • RAG

Location

Work model
Remote
Region
United States
Remote from
  • United States
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
HealthTech

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