Senior AI Deployment Engineer - Full-Stack

Sonypictures

Culver City, Northern (CA, KY)

Hybrid

USD 195,000 - 270,000

Full time

4 days ago
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Benefits offered by this job

Annual incentive
Comprehensive benefits

Job summary

Sony Pictures Entertainment seeks a Principal Forward Deployed Engineer to help shape a new function from day one. You will embed with IT and SPE business teams, delivering end-to-end applications using AI-DLC to accelerate development.

You will own production code, AI tooling practice, and platform feedback from scoping to handoff. You will lead the adoption of AI-assisted development across partner teams, build LLM components for runtime inference, and ensure security/governance while

Qualifications

  • 8+ years of professional software engineering experience.
  • Experience with LLM-based systems (RAG, agents, prompt architecture).
  • Proven ability to ship production-grade applications with AI components.

Responsibilities

  • Embed with IT and business teams to ship full applications end to end.
  • Lead AI-DLC adoption and coach teams for self-sufficiency.
  • Build production LLM components on the EIP platform when runtime inference is needed.
  • Translate stakeholder needs into decomposed, shippable plans in real time.
  • Harvest reusable patterns to enhance the EIP platform for future projects.
  • Maintain ownership of deliverables through handoff to the production team.

Skills

Full-stack development
Stakeholder communication
Autonomy in fast-moving engagements
AI-assisted development tooling

Education

Bachelor's degree or equivalent practical experience

Tools

Claude Code
GitHub Copilot

Job description

Sony Pictures Entertainment seeks a Principal Forward Deployed Engineer to help shape a new function from day one. You will embed with IT and SPE business teams, delivering end-to-end applications using AI-DLC to accelerate development.

You will own production code, AI tooling practice, and platform feedback from scoping to handoff. You will lead the adoption of AI-assisted development across partner teams, build LLM components for runtime inference, and ensure security/governance while

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