AI Engineer III

FedEx

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Plano, TXMemphis, TNPittsburgh, PA
Salary: $122,778–$165,750 / yr
Posted: 4 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $144k

$106k most similar roles pay here $220k

This role pays less than 67% of similar roles. Most pay $139,000–$197,000 — the shaded band above. At the midpoint, this role pays about $144k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About FedEx

FedEx is a US-based multinational delivery services company providing express shipping, freight, logistics, and e-commerce solutions worldwide.

FedEx currently has 28 open roles on FindRole.

Most-posted roles

View all roles at FedEx

At a glance

TL;DR · AI Engineer III

Role Posting Log in to save

The AI Engineer III joins a team focused on designing, developing, and maintaining artificial intelligence and machine learning solutions for intelligent automation and predictive insight. This hands-on role involves building scalable AI systems, including agentic workflows and data pipelines, while transitioning experimental models into production-ready services with robust observability and defined service level objectives. The candidate will architect multi-agent systems using Python and the Google Agent Development Kit (ADK), manage RAG architectures with Vertex AI Vector Search, and build ingestion pipelines via Cloud Dataflow. Key technologies include BigQuery, Cloud Run, GKE, FastAPI, and Docker. The role requires expertise in LLMOps, including automated evaluation suites, prompt optimization, and security guardrails against prompt injection. The position solves the challenge of moving complex business logic into autonomous agent architectures using Gemini foundation models and Model Context Protocol integrations.

What does a AI Engineer earn?

Median $211200 from 124 postings across 36 companies.

See salary data

Skills

Python Vertex AI Google Agent Development Kit (ADK) FastAPI BigQuery Google Kubernetes Engine (GKE) Cloud Run RAG LLMOps Docker Apache Beam Cloud Dataflow Cloud SQL AlloyDB Firestore Cloud Storage gRPC CI/CD Cloud Trace Cloud Logging

What you'll do

Architect, develop, and maintain multi-agent systems and autonomous tool-calling pipelines using Python and the Google Agent Development Kit.
Build high-performance RAG architectures integrated with Vertex AI Vector Search and BigQuery.
Develop scalable data ingestion, chunking, and embedding pipelines using Cloud Dataflow and Cloud Run Jobs.
Deploy and operationalize agents on Vertex AI Agent Engine, Cloud Run, and Google Kubernetes Engine.
Establish automated evaluation suites for reasoning, tool fidelity, and context relevance.
Implement production-grade observability, telemetry, and monitoring for agent execution and latency.
Secure agent tools and API calls using least-privilege IAM, VPC Service Controls, and safety guardrails.
Expose agent capabilities through FastAPI or gRPC microservices to be integrated into enterprise portals.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
Master’s degree in a relevant field (preferred).
3-5+ years of experience designing and shipping ML models to production.
Experience leading the design of a significant ML-powered feature.
Proficiency in Python, including asynchronous programming, typing, and FastAPI development (preferred).
Experience with Google Cloud Platform tools including Vertex AI, BigQuery, Cloud Run, and GKE.
Expertise in the Google Agent Development Kit (ADK) and Agent CLI (preferred).
Experience with LLMOps, including Docker, CI/CD, and agent evaluation suites (preferred).

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