Senior AI Deployment Lead for Enterprise Workflows

Prologis; Phoenix (AZ); On-site; USD 200,000 - 285,000; Full time

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