Senior AI Deployment Lead for Enterprise Workflows

Prologis

Phoenix (AZ)

On-site

USD 200,000 - 285,000

Full time

1 hour ago
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Job summary

Prologis seeks a Lead Forward Deployed Engineer to drive the technical delivery of AI deployments across Prologis' business domains. You will stay hands-on in architecture, code, evaluation and production implementation while shaping how AI-enabled workflows create measurable business value.

You will mentor others and help establish the FDE capability across the organization. The role emphasizes leading multiple deployments end-to-end, aligning with business leaders, and ensuring production

Qualifications

  • Eight or more years of hands-on software or AI delivery experience.
  • Proven success leading complex deployments from discovery to production.
  • Experience partnering with business leaders to reimagine processes using AI.
  • Strong programming and architecture skills across Python, APIs, data platforms, cloud.

Responsibilities

  • Lead a portfolio of deployments spanning multiple workflows, business units or enterprise systems.
  • Define outcomes, sponsorship, architecture, milestones and production ownership for each deployment.
  • Identify high-value opportunities with business leaders and inform value cases and metrics.
  • Translate objectives into redesigned workflows combining AI agents, software and human judgment.
  • Architect, build, test and troubleshoot production-grade AI applications and integrations.
  • Set technical direction for deployments and mentor Senior FDEs and engineers.
  • Deliver concise executive reporting on value, progress, risks and decisions.
  • Define and refine Prologis FDE delivery methodology and playbooks.

Skills

Software engineering
AI engineering
Technical delivery
Enterprise architecture
Python
LLM apps
Security & data
Executive communication

Tools

AWS
Dataiku
SQL
CI/CD
Containers

Job description

Prologis seeks a Lead Forward Deployed Engineer to drive the technical delivery of AI deployments across Prologis' business domains. You will stay hands-on in architecture, code, evaluation and production implementation while shaping how AI-enabled workflows create measurable business value.

You will mentor others and help establish the FDE capability across the organization. The role emphasizes leading multiple deployments end-to-end, aligning with business leaders, and ensuring production

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