Senior AI Engineer – Enterprise AI Pilot & Architecture

Prologis; Los Angeles (CA); On-site; USD 125,000 - 186,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

401(k) match

Paid time off

Job summary

Prologis seeks a Senior AI Applied Engineer to explore emerging AI techniques and translate findings into scalable architectures within the AWS ecosystem. You will design pilots, evaluate outcomes, and partner with AI platform and delivery teams to transition experiments into enterprise patterns.

You will communicate results to business stakeholders, contribute to guardrails and evaluation methods, and help shape reference implementations across Prologis locations including San Francisco and

Qualifications

• Bachelor's degree in Computer Science or Engineering or equivalent practical experience.
• 8+ years of software engineering experience delivering production-quality systems.
• Expert Python skills with clean architecture, testing, packaging and reliability.
• Strong AWS architecture and development experience (IAM, networking, serverless/containers, monitoring, cost controls).
• Strong data foundations: SQL, data modeling, APIs/integration; familiarity with RAG and text-to-SQL patterns.
• Demonstrated rigor in experimentation: hypothesis-driven approach, evaluation plans, metrics, timeboxing, and pragmatic decision-making.
• Ability to communicate clearly to technical and business stakeholders; storytelling and influence.
• Hands-on experience designing and interpreting LLM evaluations (task success, faithfulness, hallucination analysis, cost/latency).
• Familiarity with modern LLM application stacks across vendors; portability and maintainability.
• Hands-on experience with agentic systems (tool use, memory strategies, multi-agent orchestration) and reliability/evaluation techniques.

Responsibilities

• Drive AI innovation and rapid experimentation to advance Prologis capabilities (agentic workflows, reasoning approaches, evaluation methods, and emerging techniques).
• Design and execute timeboxed pilots with clear hypotheses, success metrics, and kill/scale decision points.
• Enhance and evolve existing enterprise AI patterns and standards (e.g., retrieval-augmented generation, text-to-SQL, evaluation/observability, guardrails) using new approaches and measured outcomes.
• Build reference implementations and handoff documents so successful experiments transition into scalable architectures in partnership with the Central AI team.
• Develop within the AWS ecosystem using secure, observable, cost-aware architectures and strong software engineering practices.
• Communicate results through demos and concise readouts that connect technical outcomes to business value, tradeoffs, and recommended next steps.
• Support priority project work as cycles allow, focused on de-risking and acceleration with clear entry/exit criteria.
• Continuously evaluate emerging AI tools, frameworks, and vendor offerings; synthesize external research, OSS trends, and vendor capabilities into actionable recommendations for Prologis.

Skills

Python

AWS

SQL

LLM evaluations

Agentic systems

Experimentation

Communication

System design

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Dataiku (DSS)

OpenAI AgentKit/ChatKit

Apps SDK/MCP

Job description

Prologis seeks a Senior AI Applied Engineer to explore emerging AI techniques and translate findings into scalable architectures within the AWS ecosystem. You will design pilots, evaluate outcomes, and partner with AI platform and delivery teams to transition experiments into enterprise patterns.

You will communicate results to business stakeholders, contribute to guardrails and evaluation methods, and help shape reference implementations across Prologis locations including San Francisco and