Forward-Deployed AI Engineer I

Glaxosmithkline; Durham (NC); Presencial; USD 96.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Annual bonus

Health care

Retirement benefits

Paid holidays

Paid caregiver/parental and medical le

Descripción de la vacante

GSK’s Enterprise AI team seeks an Engineer I to contribute to prototyping within BU engagements, embedding with teams, and delivering multi-agent AI prototypes. You’ll advance fluency with AI coding assistants (Claude Code, Copilot, Databricks AI) and learn the FDE practice through hands-on engagements under senior mentors.

The role emphasizes clean handoffs to Solutions Engineers and ongoing pattern learning, with clear growth toward production-ready AI solutions in a fast-paced environment.

Formación

• 1+ years of experience in full-stack software engineering, AI engineering, ML engineering, or related field.
• Experience developing generative AI solutions using LLMs, agents, multi-agent orchestration, RAG, or prompt engineering.
• Experience applying AI/ML or data science methods including training, evaluation, feature engineering, or data analysis.

Responsabilidades

• Contribute to BU use case engagements by prototyping, demoing and refining
• Embed with BU teams to build working relationships with engineers and product owners
• Operate AI agent workflows under guidance to deliver multi-agent prototypes
• Use AI coding assistants as the default build mode and develop fluency with tools

Conocimientos

Full-stack AI

AI engineering

ML engineering

Prompt engineering

Herramientas

Claude Code

GitHub Copilot

Databricks AI Assistant

Descripción del empleo

GSK’s Enterprise AI team seeks an Engineer I to contribute to prototyping within BU engagements, embedding with teams, and delivering multi-agent AI prototypes. You’ll advance fluency with AI coding assistants (Claude Code, Copilot, Databricks AI) and learn the FDE practice through hands-on engagements under senior mentors.

The role emphasizes clean handoffs to Solutions Engineers and ongoing pattern learning, with clear growth toward production-ready AI solutions in a fast-paced environment.