Senior Enterprise Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $180k - $225k / year

⏰ Full Time

🟠 Senior

💻 IT Support

👻 Ghost score 0%

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OnTrac

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1986

📦 Logistics

🛍️ eCommerce

🚗 Transport

Logistics • eCommerce • Transport

OnTrac is a regional alternative parcel carrier and logistics provider focused on e-commerce and residential delivery. It operates a coast-to-coast network (promoting itself as the largest alternative carrier network), offering ground services, an economy “Ground Essentials” product, and a new Express 2–3 day coast-to-coast service launching in 2026. OnTrac also provides custom logistics and business-to-business critical deliveries (including healthcare/pharma and specialized aircraft-on-ground repair services), partners with e-commerce platforms and retailers, and runs programs for independent drivers and regional service providers. The company emphasizes faster, lower-cost alternatives to legacy carriers and 7-day/week delivery programs to improve conversion and repeat purchases for merchants.

📋 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 tools for AI agents • Design AI-ready data platforms with batch and real-time pipelines, lakehouse and warehouse architectures, feature stores, and vector stores • Define canonical data models and event taxonomies with versioned contracts, data quality, lineage, and governance • Define API and integration architecture using REST, gRPC, asynchronous APIs, OpenAPI, AsyncAPI, Apigee, Pub/Sub, and Kafka • Apply and document distributed and AI architecture patterns and publish reference architectures • Build proofs of concept, prototypes, and reference implementations; write production-quality code with engineering teams • Apply AI to last-mile delivery capabilities including order intake, address validation, route optimization, ETA prediction, exception management, control tower operations, driver/dispatch assistance, and conversational customer experiences • Lead architecture and design reviews, author ADRs, contribute to architecture 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 • 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, agent frameworks, multi-agent orchestration, tool and function calling, agent memory, MCP, and 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 and vector stores, data quality, and data governance • Strong knowledge of API management and integration, 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 • 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