Head of Forward Deployed AI Engineering

GlaxoSmithKline plc

United States

On-site

USD 200,000 - 350,000

Full time

4 days ago
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Job summary

GlaxoSmithKline plc is building Enterprise AI capabilities to deliver rapid value to business units. The Forward Deployed Engineering lead will shape strategy, organization, and governance, while staying technically hands-on on strategic AI engagements.

You will guide multi-disciplinary teams, drive responsible AI, and influence vendor and tooling choices for AI-native engineering within Enterprise AI. The role requires extensive experience in software and AI/ML engineering, with a proven record

Qualifications

  • 12+ years in software and AI/ML engineering.
  • Experience leading senior engineering teams or functions.
  • Proven track record delivering AI in customer-facing engineering roles.
  • Strong depth in GenAI patterns, including agents and orchestration.
  • Expertise in ML, DL, LLMs and foundation models, with evaluation experience.

Responsibilities

  • Lead the Forward Deployed Engineering function, setting strategy and engagement priorities.
  • Hire, mentor, and develop the FDE team with clear milestones.
  • Define AI-native engineering standards and handoff hygiene.
  • Ensure rigorous evaluation and model validation across engagements.
  • Maintain sponsor relationships with Directors and Senior Directors at business units.
  • Drive strategic engagements hands-on and translate AI engineering into business outcomes.

Skills

AI/ML leadership
GenAI patterns
Multi-agent orchestration
RAG
Foundation models
Evaluation methods

Education

Bachelor's degree in CS

Job description

GlaxoSmithKline plc is building Enterprise AI capabilities to deliver rapid value to business units. The Forward Deployed Engineering lead will shape strategy, organization, and governance, while staying technically hands-on on strategic AI engagements.

You will guide multi-disciplinary teams, drive responsible AI, and influence vendor and tooling choices for AI-native engineering within Enterprise AI. The role requires extensive experience in software and AI/ML engineering, with a proven record

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