Senior Enterprise Architect

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $156k - $195k / year

⏰ Full Time

🟠 Senior

💻 IT Support

👻 Ghost score 0%

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OnTrac

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1986

📦 Logistics

🚗 Transport

🛍️ eCommerce

Logistics • Transport • eCommerce

OnTrac is a regional parcel delivery and logistics company operating an alternative carrier network focused on e-commerce and residential delivery across the United States. It provides 7-day/week ground services (OnTrac Ground, Ground Essentials), an upcoming coast-to-coast 2–3 day OnTrac Express service, and custom logistics solutions for B2B and critical deliveries (including healthcare/pharma and aircraft-on-ground repair). OnTrac also runs partner programs (FasTrac), supports independent drivers and regional service providers, and emphasizes faster, lower-cost ground delivery options for retailers and DTC brands along with community impact initiatives.

📋 Description

• Define and own the target-state architecture for OnTrac’s AI-native logistics platform on GCP • Design and build agentic and multi-agent systems, including orchestration, planning, tool use, memory/state management, human-in-the-loop controls, and A2A communication • Architect the MCP server ecosystem exposing logistics services and enterprise data as governed, reusable tools for AI agents • Design AI-ready data platforms with batch and real-time streaming pipelines, lakehouse/warehouse architectures, feature stores, and vector stores • Define a canonical unified data model and event taxonomy for orders, shipments, scan events, locations, containers, and drivers • Define API and integration architecture using API-first design, REST, gRPC, asynchronous APIs, OpenAPI, AsyncAPI, Apigee, Pub/Sub, and Kafka • Apply and document distributed and AI architecture patterns, including microservices, domain-driven design, event sourcing, CQRS, saga, ReAct, planner-executor, supervisor/router agents, and advanced RAG • Build proofs of concept, prototypes, and reference implementations; write production-quality code with engineering teams • Apply AI to order intake, address validation/geocoding, route optimization, delivery promise and ETA prediction, exception management, control tower operations, driver/dispatch assistance, and conversational customer experiences • Lead architecture and design reviews, author ADRs, contribute to governance and technology selection, and mentor engineers • Report to the CTO and collaborate across platform, core, and domain engineering teams

🎯 Requirements

• Bachelor’s degree or equivalent • 10 years of relevant experience in software engineering, data engineering, or solution architecture • At least 7 years in an architecture role • 2 years of hands-on generative AI or LLM solution delivery • 3 years of hands-on experience designing, building, and running production solutions on Google Cloud Platform (GCP) • 3 years of experience in the last mile delivery, parcel, or logistics industry, supporting technology for delivery operations such as route planning, sortation, scanning, tracking, or driver and dispatch systems • Experience designing and implementing enterprise API management and integration platforms, such as Apigee, MuleSoft, Kong, or Azure API Management • Deep, hands-on knowledge of agentic AI, including Google ADK, LangGraph, CrewAI, multi-agent orchestration, tool and function calling, agent memory, Model Context Protocol (MCP), and agent-to-agent (A2A) protocols • Expert knowledge of GCP architecture and AI/data services, including Vertex AI, Gemini, Vertex AI Vector Search, BigQuery, Dataflow, Pub/Sub, GKE, Cloud Run, and Apigee • Expert knowledge of data engineering for AI, including data modeling, batch and stream processing, ETL/ELT, CDC, lakehouse design, feature/vector stores, data quality, and data governance • Strong knowledge of API management and integration, including API design standards, gateways, OAuth 2.0, OIDC, Kafka, and Pub/Sub • Strong DevOps, MLOps, and LLMOps skills, including Terraform, CI/CD tooling, Kubernetes, model and prompt versioning, automated evaluation, and LLM observability tools • Understanding of last mile delivery and parcel logistics, including parcel lifecycle, scan events, network planning, routing, geospatial data, and driver/carrier operations • Ability to balance hands-on engineering with architectural leadership and prioritize multiple initiatives • Google Cloud Professional certifications and experience establishing an AI center of excellence, agent platform, or reference architectures are strongly preferred

🏖️ Benefits

• Medical, dental, and vision insurance • Life and short- and long-term disability coverage • 401(k) retirement savings plan with company match • Flex vacation in states other than CA, CO, IL, MA, MT, and NE, with accruals up to 96 hours for first year of employment with tenure-based increases up to 160 hours • Two (2) floating holidays per year • Paid sick leave • Six (6) paid company holidays • Two (2) weeks paid pregnancy disability leave • Four (4) weeks paid parental bonding leave • Additional wellness and employee assistance programs • Bonus, commission, or other incentive compensation of up to a 25% Bonus Target