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OnTrac
OnTrac
5,001 – 10,000 कर्मचारी
ई-कॉमर्सपरिवहनलॉजिस्टिक्स
OnTrac एक क्षेत्रीय पार्सल वाहक और लॉजिस्टिक्स प्रदाता है, जो ई-कॉमर्स, आवासीय, खुदरा और व्यवसाय-से-व्यवसाय डिलीवरी की जरूरतों को पूरा करता है। इसका नेटवर्क ग्राउंड शिपिंग, Ground Essentials नामक किफायती सेवा और 2026 के लिए नियोजित 2–3 दिन की देश-भर में एक्सप्रेस डिलीवरी सुविधा प्रदान करता है। मानक पार्सल डिलीवरी के अलावा, OnTrac स्वास्थ्य सेवा और फार्मास्यूटिकल्स जैसे क्षेत्रों के लिए कस्टम लॉजिस्टिक्स और समय-संवेदी शिपमेंट, साथ ही विमान के जमीन पर होने के दौरान आवश्यक विशेष मरम्मत सेवाएं भी संभालता है। कंपनी ई-कॉमर्स प्लेटफॉर्म और खुदरा विक्रेताओं के साथ काम करती है तथा स्वतंत्र ड्राइवरों और क्षेत्रीय सेवा प्रदाताओं को सहयोग देती है। OnTrac की टीमें लॉजिस्टिक्स, परिवहन और ई-कॉमर्स के क्षेत्र में काम करती हैं और डिलीवरी की गति, लागत दक्षता तथा सातों दिन चलने वाले सेवा कार्यक्रमों पर ध्यान केंद्रित करती हैं, जिससे व्यापारियों को ऑर्डर पूर्ति और ग्राहक बनाए रखने में सुधार करने में मदद मिलती है।
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कंपनी की नौकरियाँ

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.

USसंयुक्त राज्य
$1,56,000 – $1,95,000 / वर्ष
रिमोटपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीआईटी सहायता
AzureBigQueryETLGoogle Cloud PlatformgRPCKafkaKubernetesTerraformक्लाउड

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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%.

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