Senior Enterprise Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and take ownership of the target-state architecture for OnTrac’s AI-native logistics platform on GCP.

• Design and develop agentic and multi-agent systems, encompassing orchestration, planning, tool utilization, memory/state management, human-in-the-loop controls, and A2A communication.

• Architect the MCP server ecosystem to expose logistics services and enterprise data as governed, reusable tools for AI agents.

• Create AI-ready data platforms featuring batch and real-time streaming pipelines, lakehouse/warehouse architectures, feature stores, and vector stores.

• Establish a canonical unified data model and event taxonomy for orders, shipments, scan events, locations, containers, and drivers.

• Define API and integration architecture utilizing API-first design, REST, gRPC, asynchronous APIs, OpenAPI, AsyncAPI, Apigee, Pub/Sub, and Kafka.

• Implement and document distributed and AI architecture patterns, such as microservices, domain-driven design, event sourcing, CQRS, saga, ReAct, planner-executor, supervisor/router agents, and advanced RAG.

• Develop proofs of concept, prototypes, and reference implementations; produce production-quality code in collaboration with engineering teams.

• Leverage AI for order intake, address validation/geocoding, route optimization, delivery promises and ETA prediction, exception management, control tower operations, driver/dispatch support, and conversational customer interactions.

• Lead architecture and design reviews, author ADRs, contribute to governance and technology selection, and mentor engineers.

• Report directly to the CTO and collaborate with 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 architectural role.

• 2 years of hands-on experience in delivering generative AI or LLM solutions.

• 3 years of practical experience designing, building, and maintaining production solutions on Google Cloud Platform (GCP).

• 3 years of experience in the last mile delivery, parcel, or logistics sector, supporting technology for delivery operations such as route planning, sortation, scanning, tracking, or driver and dispatch systems.

• Experience in designing and implementing enterprise API management and integration platforms, such as Apigee, MuleSoft, Kong, or Azure API Management.

• Extensive 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 understanding of GCP architecture and AI/data services, including Vertex AI, Gemini, Vertex AI Vector Search, BigQuery, Dataflow, Pub/Sub, GKE, Cloud Run, and Apigee.

• Deep expertise in data engineering for AI, encompassing 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.

• Proficient in DevOps, MLOps, and LLMOps, including Terraform, CI/CD tooling, Kubernetes, model and prompt versioning, automated evaluation, and LLM observability tools.

• Understanding of last mile delivery and parcel logistics, covering the parcel lifecycle, scan events, network planning, routing, geospatial data, and driver/carrier operations.

• Capability to balance hands-on engineering with architectural leadership while prioritizing multiple initiatives.

• Google Cloud Professional certifications and experience in establishing an AI center of excellence, agent platform, or reference architectures are highly preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Life and short- and long-term disability coverage.

• 401(k) retirement savings plan with company match.

• Flexible vacation policy in states other than CA, CO, IL, MA, MT, and NE, with accruals of up to 96 hours for the first year of employment, increasing to 160 hours based on tenure.

• Two (2) floating holidays annually.

• Paid sick leave.

• Six (6) paid company holidays.

• Two (2) weeks of paid pregnancy disability leave.

• Four (4) weeks of paid parental bonding leave.

• Additional wellness and employee assistance programs.

• Bonus, commission, or other incentive compensation with a target of up to 25% bonus.