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Asynchronous Project Manager information

What is an asynchronous project manager?

An Asynchronous Project Manager is a professional who leads and coordinates projects where team members collaborate and communicate without needing to work at the same time. This approach is often used in distributed or remote teams across different time zones. The Asynchronous Project Manager leverages tools like project management platforms, shared documents, and messaging apps to ensure tasks are tracked, deadlines are met, and team members stay informed. Their role focuses on clear documentation, effective communication, and maintaining project momentum without relying on real-time meetings.

How does an asynchronous project manager effectively coordinate teams across different time zones and schedules?

As an Asynchronous Project Manager, you'll leverage digital tools and clear documentation to ensure all team members stay aligned despite working at different times. This involves setting clear expectations for deliverables, using project management platforms for updates, and fostering a culture of thorough communication. Regularly updating shared resources and providing detailed feedback help prevent misunderstandings and keep projects on track. The role demands strong organizational skills and the ability to anticipate potential bottlenecks that arise without real-time interaction.

What are the key skills and qualifications needed to thrive as an asynchronous project manager, and why are they important?

To thrive as an Asynchronous Project Manager, you need strong project management skills, experience in remote or distributed team environments, and often a relevant certification such as PMP or Agile. Familiarity with asynchronous communication tools like Slack, Trello, Asana, and cloud-based documentation platforms is typically required. Exceptional self-motivation, time management, and clear written communication help individuals excel in coordinating teams across different time zones. These competencies ensure projects stay on track, collaboration remains effective, and team productivity is maximized without real-time meetings.

What is the difference between Asynchronous Project Manager vs Scrum Master?

AspectAsynchronous Project ManagerScrum Master
CertificationsProject Management Professional (PMP), Agile certificationsCertified ScrumMaster (CSM), SAFe certifications
Work EnvironmentRemote or distributed teams, flexible schedulesAgile teams, often in Scrum ceremonies
Industry UsageVarious industries including tech, marketing, and consultingPrimarily software development and tech

While both roles support project delivery, an Asynchronous Project Manager oversees projects with flexible, remote communication, focusing on asynchronous updates and coordination. A Scrum Master facilitates Agile Scrum processes, ensuring team adherence to Scrum practices. The roles overlap in managing projects and teams but differ in methodology and communication style.

Is it possible to work remotely as an asynchronous project manager?

Asynchronous project managers can often work remotely since their role primarily involves coordinating tasks, communicating through digital tools, and managing projects without real-time interactions. Successful remote work in this role typically requires strong communication skills, familiarity with project management software, and self-discipline. Many organizations now offer remote or hybrid arrangements for asynchronous project management positions.

What are popular job titles related to Asynchronous Project Manager jobs in Tennessee?

For Asynchronous Project Manager jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Asynchronous Project Manager jobs in Tennessee look for?

The top searched job categories for Asynchronous Project Manager jobs in Tennessee are:

What cities in Tennessee are hiring for Asynchronous Project Manager jobs?

Cities in Tennessee with the most Asynchronous Project Manager job openings:

Asynchronous Project Manager jobs near you
Infographic showing various Asynchronous Project Manager job openings in Tennessee as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

AI Architect Principal - AI Foundation

Memphis, TN • On-site

FedEx
Couriers and Messengers Services • 10K+ employees
Learn more about FedExexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

FedEx rating

6.6

Company rating: 6.6 out of 10

Based on 1,115 frontline employees who took The Breakroom Quiz

Job description

Domicile Information
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.
Summary
The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive insight, and advanced analytics across the enterprise. As a hands-on builder, this role applies software engineering principles to write production-quality code, build scalable AI systems, including AI Agents and data pipelines, and integrate AI models into new and existing business applications. The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to bring machine learning models from prototype to production. A critical part of this function is to ensure that AI use cases are transitioned from experimentation into reliable, governed, and business-ready solutions by owning their complete operational readiness. This includes implementing robust observability, defining Service Level Objectives (SLOs), and establishing clear incident response and rollback strategies for all AI services.
Essential Functions
Agent Development & Orchestration (ADK & Python)
  • Architect, develop, and maintain multi-agent systems, deterministic workflow agents, and autonomous tool-calling pipelines using the 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 environments.
  • Implement complex 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.

Retrieval & Semantic Data Pipelines
  • Design and implement high-performance RAG (Retrieval-Augmented Generation) architectures integrated with ADK using Vertex AI Vector Search, BigQuery Vector Search, and Cloud Storage (GCS).
  • Build scalable ingestion, chunking, and embedding pipelines using Python, Cloud Dataflow (Apache Beam), and Cloud Run Jobs.
  • Integrate structured enterprise databases (BigQuery, Cloud SQL / AlloyDB pgvector, Firestore) as tool-accessible datastores for autonomous agents.

Agent Deployment & LLMOps
  • Deploy and operationalize ADK agents seamlessly to Vertex AI Agent Engine (Reasoning Engines), Cloud Run, and Google Kubernetes Engine (GKE) using the Agent CLI and containerized Python runtimes.
  • Establish 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 agent observability, 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) (e.g., TTFT, p50/p95 execution latency, tool invocation error rates, agent task completion rates).

Governance, Security & Integration
  • Secure agent tool execution, API calls, 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.
  • Track rapid advancements in the Google agent ecosystem, including new ADK features, multimodal agents, and reasoning paradigms.

Preferred Knowledge, Skills, and Abilities
Core Agent & Technical Proficiency (ADK + Python)
  • Python Mastery: Expert proficiency in modern Python, asynchronous programming (asyncio), typing, structured data modeling, and web framework development (FastAPI).
  • Google Agent Development Kit (ADK): In-depth experience with the google-adk Python SDK, including Task APIs, graph workflow runtimes, multi-agent coordination (sequential, parallel, loop, hierarchical), and session/memory layers.
  • Google Agent CLI (agents-cli / adk): Hands-on experience driving the Agent Development Lifecycle via CLI (scaffolding, playground interactive testing, evaluation benchmarking, and automated deployment).
  • LLM & Tool Ecosystem: Strong understanding of Gemini foundation models, tool definitions (OpenAPI specifications, custom Python functions), and Model Context Protocol (MCP).

GCP AI & Data Stack
  • Vertex AI Platform: Hands-on experience with Vertex AI Agent Engine, Vertex AI Studio / Model Garden, Vertex AI Vector Search, and Vertex AI Endpoints.
  • GCP Infrastructure: Experience hosting and scaling agents on Cloud Run and Google Kubernetes Engine (GKE).
  • Data & Storage: Solid SQL and Python data-handling skills with BigQuery, Cloud Firestore, and Cloud Storage.

Software Engineering & Agentic Operations (LLMOps)
  • Agent Testing & Evaluation: Experience designing structured test datasets, running automated evaluation suites (agents-cli eval run), and implementing prompt and context optimization pipelines.
  • DevOps / CI/CD: Proven background with Docker, Artifact Registry, and CI/CD automation (Cloud Build) for agent deployment.
  • Observability & Debugging: Practical experience with step-by-step agent execution tracing, state inspection, and telemetry via Cloud Trace and Cloud Logging.
  • Security & Guardrails: Experience defending against prompt injection, unauthorized tool execution, and state manipulation in autonomous agent systems.

Collaboration & Prototyping
  • Ability to translate complex business logic and multi-step workflows into autonomous agent architectures.
  • Experience creating internal agent prototypes and test benches using the Agent CLI Playground and interactive Python interfaces.
  • Strong communication skills to clearly explain agentic capabilities, trade-offs, and tool-invocation flows to both technical and non-technical stakeholders.

Minimum Education:
Bachelor's degree in Computer Science, Data Science, Engineering, or related field is required; Master's is highly preferred.
Minimum Experience:
Needs 3-5+ years of dedicated experience designing and shipping ML models to production. Should have led the design of a significant ML-powered feature.
Preferred Qualifications:
Pay Transparency:
Pay: Plano, TX / Pittsburgh, PA: $122,778 to $165,750/annually. Memphis, TN: $116,639 to $157,463/annually.
Additional Details:
For details on our comprehensive benefits, click here
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
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 Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)

What FedEx employees say

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About FedEx

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On our first day of operations, we delivered 186 packages. Now, we deliver millions every day, all over the globe. Collaboration and innovation fueled our growth. Dedication to an outstanding customer experience drives us to where now meets next

Industry

Couriers and messengers services, trucking, printing and printing services and retail

Company size

10,000+ Employees

Headquarters location

Memphis, TN, US

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