AI Engineer III

Advance production AI with FedEx as an AI Engineer III in a hybrid role based in Plano, TX (also available in Memphis, TN or Pittsburgh, PA). You will design, develop, deploy, and maintain governed AI/ML solutions for intelligent automation, predictive insight, and advanced analytics, working across multi-agent systems, RAG pipelines, LLMOps, observability, and operational readiness on GCP.

What you’ll do

• Design, develop, and maintain multi-agent systems, including deterministic workflow agents and autonomous tool-calling pipelines using Google Agent Development Kit (ADK) in Python.
• Use the Google Agent CLI (agents-cli / adk) to scaffold, run, test, evaluate, and package agent projects across development, staging, and production.
• Implement complex agentic patterns such as graph-based workflow runtimes, hierarchical multi-agent delegation, human-in-the-loop (HITL) tool confirmations, and session/state memory management.
• Build custom agent tools and integrate Model Context Protocol (MCP) tools and API connectors powered by foundation models on Vertex AI.
• Design high-performance RAG architectures integrated with ADK using Vertex AI Vector Search, BigQuery Vector Search, and Cloud Storage (GCS).
• Build scalable ingestion, chunking, and embedding pipelines with Python, Cloud Dataflow (Apache Beam), and Cloud Run Jobs.
• Integrate enterprise datastores (such as BigQuery, Cloud SQL / AlloyDB pgvector, and Firestore) as tool-accessible datastores for autonomous agents.
• Deploy and operationalize ADK agents to Vertex AI Agent Engine (Reasoning Engines), Cloud Run, and GKE using the Agent CLI and containerized Python runtimes.
• Create 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 with session telemetry, step-by-step tracing, and latency monitoring using 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 via asynchronous FastAPI / gRPC microservices and register deployed agents into enterprise portals.
• Stay current with advancements in the Google agent ecosystem, including new ADK features, multimodal agents, and reasoning paradigms.
• Work closely 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 by establishing observability, SLOs, and incident response and rollback strategies.

Requirements

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

Technologies you’ll work with

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

Hybrid location and on-site expectations

• This is a hybrid position in Plano, TX (first preference), Memphis, TN, or Pittsburgh, PA.
• Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.

Pay transparency

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

Comprehensive benefits: For details on FedEx’s benefits, click here.

Applicants have rights under federal employment laws: Know Your Rights, Pay Transparency, Family and Medical Leave Act (FMLA), Employee Polygraph Protection Act.

E-Verify program participant: Federal Express Corporation participates in the U.S. Department of Homeland Security E-Verify program. E-Verify Notice (bilingual) and Right to Work Notice (English / Spanish).