Lead AI Deployment Engineer for Enterprise Workflows

Prologis; Nashville (TN); On-site; USD 200,000 - 285,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Paid holidays

Paid time off

Volunteer time

Job summary

Prologis is seeking a Lead Forward Deployed Engineer to drive enterprise AI deployments across anchor domains. You will own technical direction, architect production-grade AI solutions, and mentor other engineers while collaborating with business leaders to realize measurable outcomes.

You will work hands-on in architecture, code and evaluation, delivering production-ready AI workflows and reusable components. This senior IC role requires deep domain context and strong communication.

Qualifications

• Eight or more years of hands-on software engineering, AI engineering, technical delivery or enterprise-solution experience, or equivalent practical experience.
• Demonstrated success leading multiple complex software or AI deployments from discovery through business acceptance, production release and ownership transfer.
• Proven experience partnering with business leaders and frontline teams to reimagine an end-to-end business process using AI, personally contributing to the engineering delivery and demonstrating sustained production use and measurable improvements in business outcomes.
• Strong hands-on programming and architecture skills across Python, APIs, data platforms, cloud and modern application technologies.
• Deep practical experience with LLM applications, agentic systems, retrieval, tool integration, evaluations, guardrails and production observability.
• Strong understanding of enterprise architecture, data integration, identity, security, data protection and software-operating models.
• Ability to lead technical delivery without relying on formal organizational authority.
• Ability to work directly with senior business executives and translate strategy into executable technical work.
• Strong product judgment to distinguish reusable patterns from one-off customization and make disciplined build, buy or stop decisions.
• Demonstrated ability to create reusable engineering components, evaluation assets, standards and playbooks.
• Strong written and verbal communication, including executive communication and technical design documentation.

Responsibilities

• Architect, build, test and troubleshoot production-grade AI applications, agents, retrieval systems, integrations and workflow solutions.
• Lead a portfolio of deployments spanning multiple workflows, business units or enterprise systems.
• Set technical direction for FDE deployments and guide implementation across Senior FDEs and partner teams.
• Coordinate with central AI Product, Platform, Data and Security teams to ensure production readiness and governance.
• Mentor Senior FDEs and raise the quality of technical discovery, engineering, evaluation and stakeholder communication.
• Provide concise executive reporting on value, delivery progress, risks, tradeoffs and decisions.

Skills

Python

APIs

Cloud

LLM apps

Architecture

Security

Tools

AWS

Dataiku

SQL

CI/CD

Containers

Retrieval

Job description

Prologis is seeking a Lead Forward Deployed Engineer to drive enterprise AI deployments across anchor domains. You will own technical direction, architect production-grade AI solutions, and mentor other engineers while collaborating with business leaders to realize measurable outcomes.

You will work hands-on in architecture, code and evaluation, delivering production-ready AI workflows and reusable components. This senior IC role requires deep domain context and strong communication.