Senior AI Deployment Architect

Prologis; San Francisco (CA); On-site; USD 200,000 - 285,000; Full time

Benefits offered by this job

Healthcare

Dental insurance

Vision insurance

401(k) match

Generous PTO

Job summary

Prologis is seeking a Lead Forward Deployed Engineer to partner with business teams and drive AI deployments across Prologis’ enterprise systems. You will stay hands‑on in architecture, code, evaluation and production implementation while establishing this capability within the company.

As the first FDE hire, you will define patterns, guide Senior FDEs, align with business owners, and shape how AI enables new ways of working and measurable outcomes across anchor domains.

Qualifications

• Eight or more years of hands‑on software engineering, AI engineering, technical delivery or enterprise‑solution 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

• Lead a portfolio of deployments spanning multiple workflows, business units or enterprise systems.
• Ensure deployments have defined outcomes, sponsorship, architecture, milestones and a handoff plan.
• Identify high‑value AI opportunities with business leaders and inform value case and operating constraints.
• Translate objectives into redesigned workflows combining AI agents, software and human judgment.
• Architect, build, test and troubleshoot production‑grade AI applications, agents and integrations.
• Set technical direction for FDE deployments and guide implementation across teams.
• Resolve tradeoffs among value, quality, security, speed, maintainability and cost.
• Design test sets, thresholds, regression testing, observability and governance into solutions.
• Coordinate with central AI Product, Platform, Data/Governance, Security and related teams.
• Facilitate validation and rollout, establishing production readiness and durable ownership.

Skills

Hands-on software eng

AI engineering

Technical delivery

Enterprise-solution experience

Python

APIs

Data platforms

Cloud

Modern applications

LLM applications

Agentic systems

Retrieval

Tool integration

Observability

Security

Tools

AWS

Dataiku

SQL

CI/CD

Containers

Job description

Prologis is seeking a Lead Forward Deployed Engineer to partner with business teams and drive AI deployments across Prologis’ enterprise systems. You will stay hands‑on in architecture, code, evaluation and production implementation while establishing this capability within the company.

As the first FDE hire, you will define patterns, guide Senior FDEs, align with business owners, and shape how AI enables new ways of working and measurable outcomes across anchor domains.