OnTrac
OnTrac
OnTrac — электрондық коммерция, тұрғын үй, бөлшек сауда және бизнесаралық жеткізу қажеттіліктеріне қызмет көрсететін өңірлік сәлемдеме тасымалдаушысы әрі логистикалық провайдер. Оның желісі жерүсті тасымалын, Ground Essentials үнемді қызметін және 2026 жылға жоспарланған жағалаудан жағалауға 2–3 күндік Express қызметін қолдайды. Стандартты сәлемдеме жеткізуден бөлек, OnTrac денсаулық сақтау және фармацевтика салаларына арналған арнайы логистиканы, уақытты талап ететін жөнелтілімдерді, сондай-ақ жерде тұрған әуе кемелерін жөндеу бойынша мамандандырылған қызметтерді ұсынады. Компания электрондық коммерция платформаларымен және бөлшек саудагерлермен жұмыс істеп, тәуелсіз жүргізушілер мен өңірлік қызмет провайдерлерін қолдайды. OnTrac командалары логистика, көлік және электрондық коммерция салаларында жұмыс істейді және жеткізу жылдамдығына, шығын тиімділігіне, сондай-ақ сатушыларға тапсырыстарды орындау үдерісін және клиенттерді ұстап қалу көрсеткішін жақсартуға көмектесетін аптасына жеті күндік қызмет бағдарламаларына басымдық береді.

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.

Сипаттама

  • 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.

Талаптар

  • 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.

Артықшылықтар

  • 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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