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OnTrac
OnTrac
5,001 – 10,000 Employees
eCommerceLogisticsTransport
OnTrac is a regional parcel carrier and logistics provider serving e-commerce, residential, retail, and business-to-business delivery needs. Its network supports ground shipping, the Ground Essentials economy service, and an Express 2–3 day coast-to-coast offering planned for 2026. Beyond standard parcel delivery, OnTrac handles custom logistics and time-sensitive shipments for sectors including healthcare and pharmaceuticals, as well as specialized aircraft-on-ground repairs. The company also works with e-commerce platforms and retailers and supports independent drivers and regional service providers. OnTrac’s teams operate in logistics, transportation, and e-commerce, with a focus on delivery speed, cost efficiency, and seven-day service programs that help merchants improve fulfillment and customer retention.
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Senior Enterprise Architect, AI Logistics Platform

Shape OnTrac’s Google Cloud platform for AI-powered last-mile delivery. Lead architecture for agentic systems, real-time data, APIs, and logistics applications.

USUnited States
$156,000 – $195,000 / year
RemoteFull-timeSeniorEnglish RequiredIT Support
AzureBigQueryCloudETLGoogle Cloud PlatformGRPCKafkaKubernetesTerraform

Description

  • Set the target architecture for OnTrac’s AI-native logistics platform on Google Cloud.
  • Build agentic and multi-agent systems, covering orchestration, planning, tool use, memory, human oversight, and agent-to-agent communication.
  • Design the MCP server ecosystem that gives AI agents governed access to logistics services and enterprise data.
  • Create AI-ready data platforms with batch and real-time pipelines, lakehouse and warehouse architectures, feature stores, and vector stores.
  • Establish canonical logistics data models and event taxonomies, including standards for quality, lineage, and governance.
  • Set API and integration architecture using REST, gRPC, asynchronous APIs, OpenAPI, AsyncAPI, Apigee, Pub/Sub, and Kafka.
  • Document and apply distributed, AI, and agentic architecture patterns, and publish reference architectures.
  • Develop proofs of concept, prototypes, and reference implementations, and write production-quality code alongside engineering teams.
  • Apply AI across order intake, address validation, geocoding, route optimization, ETA prediction, exception handling, control tower operations, driver and dispatch support, and customer experiences.
  • Lead architecture and design reviews, write architecture decision records, support governance and technology selection, and mentor engineers.
  • Report to the CTO and work with platform, core, and domain engineering teams.

Requirements

  • Bachelor’s degree or equivalent, plus 10 years of relevant software engineering, data engineering, or solution architecture experience.
  • At least 7 years of experience in an architecture role.
  • 2 years of hands-on experience delivering generative AI or LLM solutions.
  • 3 years of hands-on experience designing, building, and operating production solutions on Google Cloud Platform (GCP).
  • 3 years of experience supporting delivery operations technology in last-mile delivery, parcel, or logistics.
  • Experience designing and implementing enterprise API management and integration platforms such as Apigee, MuleSoft, Kong, or Azure API Management.
  • Strong practical knowledge of agentic AI, agent frameworks, multi-agent orchestration, tool and function calling, agent memory, MCP, and A2A protocols.
  • Expertise in GCP architecture and AI and data services, including Vertex AI, Gemini, BigQuery, Dataflow, Pub/Sub, GKE, Cloud Run, and Apigee.
  • Expertise in data engineering for AI, including data modeling, batch and stream processing, ETL/ELT, CDC, lakehouse design, feature and vector stores, data quality, and governance.
  • Strong knowledge of API management and integration, API standards, gateways, OAuth 2.0, OIDC, Kafka, and Pub/Sub.
  • Strong DevOps, MLOps, and LLMOps skills, including Terraform, CI/CD, Kubernetes, model and prompt versioning, automated evaluation, and LLM observability.
  • Understanding of last-mile delivery and parcel logistics, including parcel lifecycle, scan events, network planning, routing, geospatial data, and driver and carrier operations.
  • Ability to combine 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 insurance and short- and long-term disability coverage.
  • 401(k) retirement savings plan with company match.
  • Flex vacation in eligible states, accruing up to 96 hours in the first year, with tenure-based increases to 160 hours.
  • Two floating holidays each year.
  • Paid sick leave.
  • Six paid company holidays.
  • Two weeks of paid pregnancy disability leave.
  • Four weeks of paid parental bonding leave.
  • Wellness and employee assistance programs.
  • Bonus, commission, or other incentive compensation may be available, with a bonus target of up to 25%.

Related Jobs

OnTrac

Senior Enterprise Architect, AI and GCP — OnTrac (Remote, US)

OnTrac
5,001 – 10,000 Employees
eCommerceLogisticsTransport
USUnited States
$156,000 – $195,000 / year
RemoteFull-timeSeniorEnglish RequiredIT Support
AzureBigQueryCloudETLGoogle Cloud PlatformGRPCKafkaKubernetesMicroservicesReactTerraform

Shape OnTrac’s AI-powered Google Cloud platform for same-day and next-day delivery across the United States. Lead architecture for agentic AI, data systems, and integrations that support logistics operations.

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