# Application Architect (AI & Cloud) - Flex at UPS

UPS is hiring an Application Architect (AI & Cloud) - Flex. It pays $128k-$273k a year and Level rates it Works on AI ●●●○; you can [apply on UPS](https://jobsbylevel.com/go/c67710d7-dbcd-45e5-9ec3-7000c8bce7ca?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. US - UPS TECHNOLOGY HEADQUARTERS & DATACENTER (NJRAR).

## Details

- Company: [UPS](https://jobsbylevel.com/companies/ups)
- AI level: AI Level 3 (score 66 out of 100)
- Location: US - UPS TECHNOLOGY HEADQUARTERS & DATACENTER (NJRAR)
- Salary: $128k-$273k
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/c67710d7-dbcd-45e5-9ec3-7000c8bce7ca?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=application-architect-ai-cloud-flex-at-ups-9f66ca

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/application-architect-ai-cloud-flex-at-ups-9f66ca

## Description

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: We are seeking a highly skilled Application Architect to lead the end-to-end architecture and modernization of enterprise applications incorporating Generative AI, agentic AI, cloud-native technologies, and enterprise systems . The ideal candidate combines strong enterprise application architecture fundamentals with hands-on experience designing AI-powered solutions using technologies such as LangGraph, LangChain, GCP, RAG, MCP, and modern observability frameworks . This role requires the ability to determine where AI adds value and where deterministic workflows, APIs, rules, and traditional application patterns provide the better solution. Key Responsibilities Own end-to-end application architecture across frontend, backend, AI/agent layers, orchestration, integrations, data, and cloud services. Define scalable, reusable architecture patterns supporting multiple business capabilities, personas, and workflows. Determine appropriate use of deterministic workflows, APIs, rules, AI agents, and hybrid approaches based on reliability, performance, explainability, cost, and maintainability. Architect stateful and long-running workflows , including session and context management, checkpoints, retries, idempotency, human-in-the-loop interactions, and recovery patterns. Design agentic solutions using LangGraph, LangChain, RAG, APIs, MCP, and other orchestration patterns . Define secure multi-persona architectures with appropriate authentication, authorization, entitlements, data-access boundaries, and service identities. Architect integrations with enterprise APIs, transactional and legacy systems, SaaS platforms, and data services using REST APIs, Apigee/API gateways, MCP, messaging, and event-driven patterns . Define application data, semantic retrieval, vector search, and knowledge architecture patterns using appropriate relational, graph, vector, and search technologies. Define non-functional requirements for scalability, availability, performance, resiliency, security, maintainability, recoverability, and cost efficiency . Design cloud-native architectures on Google Cloud Platform (GCP) using services such as Vertex AI, GKE, Cloud Run, AlloyDB, BigQuery, Pub/Sub, and Eventarc. Establish architecture patterns for AI observability, distributed tracing, evaluation, monitoring, Responsible AI, and operational readiness . Define reference architectures, engineering standards, architecture decision records (ADRs), and reusable patterns, and guide engineering teams through implementation. Evaluate architecture alternatives through prototypes and proof-of-concepts and clearly communicate technical trade-offs to engineering, product, security, platform, and business stakeholders. Guide CI/CD, Infrastructure as Code, containerization, DevSecOps, and production deployment patterns . Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field. 12+ years of experience designing and delivering enterprise applications, including significant experience in Application or Solution Architecture. Strong experience with distributed systems, APIs, microservices, event-driven architecture, data persistence, state management, and enterprise integration patterns . Hands-on experience designing solutions using Generative AI, LLMs, agentic AI, RAG, and tool-calling architectures . Experience with LangGraph and/or equivalent agent

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/application-architect-ai-cloud-flex-at-ups-9f66ca

Source: https://jobsbylevel.com/jobs/application-architect-ai-cloud-flex-at-ups-9f66ca

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