Lead Forward Deployed Engineer

Prologis

. Partner with business teams to reimagine how work gets done with AI .

Posted 9/25/2026full-timeUnited StatesSenior💰 $200,000 - $285,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading AI deployments and software engineering, with a strong focus on technical delivery, enterprise architecture, and process redesign using AI. Capable of mentoring teams, establishing production ownership, and facilitating business validation while ensuring measurable improvements.

Highest-signal resume keywords

AI EngineeringSoftware EngineeringPython ProgrammingEnterprise ArchitectureAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DeploymentsSoftware DevelopmentData IntegrationProduction ObservabilityAPI DevelopmentLLM ApplicationsAutomated TestingCloud TechnologiesTechnical DeliveryArchitecture Design

Soft Skills

Executive CommunicationMentoringCollaborationProblem SolvingAdaptability

Tools & Technologies

AWSDataikuSQLCI/CDContainers

Industry Keywords

Enterprise SolutionsBusiness Process RedesignProduction StabilizationAI Workflow TransformationsPrologis Business Domains

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Partner with business teams to reimagine how work gets done with AI
Lead technical delivery of complex business-embedded AI deployments
Establish the Forward Deployed Engineering capability at Prologis
Build deep operating context in a primary Prologis business domain over generally 9 to 12 months or longer
Lead a portfolio of AI deployments across workflows, business units, or enterprise systems
Partner with business leaders, frontline users, and AI Product to identify opportunities and redesign processes using AI, software, and human judgment
Architect, build, test, troubleshoot, and support production-grade AI applications, agents, retrieval systems, integrations, and workflow solutions through release and stabilization
Set technical direction across deployments and guide Senior FDEs, central AI engineers, and partner teams
Resolve tradeoffs involving business value, engineering quality, security, speed, maintainability, and cost
Design test sets, acceptance thresholds, regression testing, observability, security, privacy, auditability, and human controls
Facilitate business validation against agreed acceptance criteria
Coordinate with AI Product, Applied AI Engineering, Platform, Data and Knowledge, Security and Governance, Process and Agent Orchestration, Enablement, Architecture, and AI Operations
Establish durable production ownership and support adoption
Identify reusable components, evaluation assets, reference architectures, standards, and delivery playbooks
Mentor Senior FDEs and partner engineers
Provide concise executive reporting on value, progress, risks, tradeoffs, and decisions
Remain accountable through business acceptance, production stabilization, and ownership transfer

Requirements

What you’ll need

Eight or more years of hands-on software engineering, AI engineering, technical delivery, enterprise-solution experience, or equivalent practical experience
Demonstrated success leading multiple complex software or AI deployments from discovery through business acceptance, production release, stabilization, and ownership transfer
Proven experience partnering with business leaders and frontline teams to redesign an end-to-end business process using AI while personally contributing to engineering delivery and demonstrating sustained production use and measurable business improvement
Hands-on programming and architecture capability across Python, APIs, data platforms, cloud, and modern application technologies
Practical experience building and operating LLM applications, agentic systems, retrieval solutions, tool integrations, evaluations, guardrails, and production observability
Experience applying enterprise architecture, data integration, identity, security, data protection, and software operating-model requirements to production solutions
Demonstrated ability to lead technical delivery without formal organizational authority and translate senior business objectives into executable technical work
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
Written and verbal communication skills for executive communication and technical design documentation
Ability to acquire deep domain context quickly and use it to make enterprise delivery tradeoffs
Experience extending successful AI workflow transformations across business units or geographies within a large global enterprise preferred
Deep knowledge of one or more Prologis business domains or adjacent industries preferred
Experience leading several parallel deployments or a portfolio of related AI use cases preferred
Experience building shared AI components, governed retrieval, knowledge architectures, reference architectures, or enterprise developer tooling preferred
Experience with AWS, Dataiku, SQL, automated testing, containers, CI/CD, and cloud or hybrid enterprise deployment patterns preferred
Demonstrated willingness and capability to leverage emerging technology, automation, and AI tools preferred
Successful completion of background verification
Must be eligible to work in the United States as applicable to the role

Benefits

Comp & perks

Healthcare, dental, and vision insurance for employees and eligible dependents
401(k) retirement plan with a company match of 50% up to 12% of eligible compensation
Generous PTO with a starting accrual of 22 days a year
Paid holidays
Volunteer time
Wellness, financial, and work/lifestyle-specific benefits
Leadership development
Background verification as part of the hiring process