AI Engineer III

FedEx is hiring an AI Engineer III to build production AI/ML solutions for intelligent automation, predictive insight, and advanced analytics across the enterprise.

Responsibilities

• Design, develop, and maintain multi-agent systems, deterministic workflow agents, and autonomous tool-calling pipelines using Google Agent Development Kit (ADK) in Python.
• Use Google Agent CLI (agents-cli / adk) to scaffold, run, test, evaluate, and package agent projects across development, staging, and production.
• Implement advanced agentic patterns, including graph-based workflow runtimes, hierarchical multi-agent delegation, human-in-the-loop (HITL) tool confirmations, and state/session memory management.
• Build custom agent tools, Model Context Protocol (MCP) tool integrations, and API connectors powered by foundation models on Vertex AI.
• Design and implement high-performance RAG architectures integrated with ADK using Vertex AI Vector Search, BigQuery Vector Search, and Cloud Storage (GCS).
• Create scalable ingestion, chunking, and embedding pipelines using Python, Cloud Dataflow (Apache Beam), and Cloud Run Jobs.
• Integrate enterprise data sources as tool-accessible datastores for autonomous agents: BigQuery, Cloud SQL / AlloyDB pgvector, and Firestore.
• Deploy and operationalize ADK agents on Vertex AI Agent Engine (Reasoning Engines), Cloud Run, and Google Kubernetes Engine (GKE), using the Agent CLI and containerized Python runtimes.
• Build automated evaluation suites using agents-cli eval, Vertex AI GenAI Evaluation Service, and continuous regression testing for reasoning, tool fidelity, and context relevance.
• Implement production-grade observability: session telemetry, step-by-step tracing, and latency monitoring with Cloud Trace, Cloud Logging, and Vertex AI Model Monitoring.
• Define and own Service Level Objectives (SLOs), including TTFT, p50/p95 execution latency, tool invocation error rates, and agent task completion rates.
• Secure agent tool execution and data mutations using least-privilege IAM, VPC Service Controls, Secret Manager, and zero-trust safety guardrails.
• Expose agent capabilities through asynchronous FastAPI / gRPC microservices and register deployed agents into enterprise portals.
• Track and apply rapid advancements in the Google agent ecosystem, including new ADK features, multimodal agents, and reasoning paradigms.
• Write production-quality code and apply engineering principles to build scalable AI systems and data pipelines, integrating AI models into new and existing business applications.
• Collaborate with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to move models from prototype to production.
• Own end-to-end operational readiness for AI use cases, including robust observability, SLO definition, incident response, and rollback strategies.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required; Master’s preferred.
• 3-5+ years dedicated experience designing and shipping ML models to production.
• Experience leading the design of a significant ML-powered feature.

Technologies

• Google Agent Development Kit (ADK)
• Python
• Google Agent CLI (agents-cli / adk)
• Vertex AI; Vertex AI Vector Search; Vertex AI Agent Engine (Reasoning Engines); Vertex AI Studio / Model Garden; Vertex AI Endpoints; Vertex AI GenAI Evaluation Service
• BigQuery Vector Search; BigQuery
• Cloud Storage (GCS); Cloud Dataflow (Apache Beam); Cloud Run Jobs; Cloud Run
• Cloud SQL; AlloyDB pgvector; Firestore; Cloud Firestore
• Google Kubernetes Engine (GKE)
• Agent CLI; agents-cli eval
• Cloud Trace; Cloud Logging; Vertex AI Model Monitoring
• FastAPI; gRPC
• Model Context Protocol (MCP)
• Gemini
• OpenAPI specifications
• Cloud Build; Docker; Artifact Registry
• Least-privilege IAM; VPC Service Controls; Secret Manager
• asyncio; Cloud Firestore

Location and Work Model

• Plano, TX (hybrid)
• Hybrid domicile options: Plano, TX (first preference), Memphis, TN, or Pittsburgh, PA.
• Candidates within 50 miles of a FedEx campus must work on-site at a FedEx location several times per week.

Compensation

• Plano, TX / Pittsburgh, PA: $122,778 to $165,750 per year
• Memphis, TN: $116,639 to $157,463 per year
• Listed range: USD 116,639 - 165,750 per yearly

Applicants’ Rights

• Know Your Rights
• Pay Transparency
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act

E-Verify

• FedEx participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program
• E-Verify Notice (bilingual)
• Right to Work Notice (English) / (Spanish)