> Markdown version of [/jobs/ext/3853015-technology-retail-platform-architect](https://www.wearedevelopers.com/jobs/ext/3853015-technology-retail-platform-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology/Retail Platform Architect - **Company:** Accenture - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $132,500.0 - $302,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Automation of Tests, Microsoft Azure, Cloud Engineering, Programming Tools, Disaster Recovery, Distributed Systems, Software Architecture, Reliability Engineering, Pinecone, Pulumi, Qdrant, Istio, AI Platforms, Kubernetes, Apache Kafka, Milvus, Machine Learning Operations, Api Gateway, Terraform, Dynatrace - **Published:** October 21, 2026 - **Apply:** https://www.bostonjobsite.com/job.asp?id=3462153160&tx=UT4844TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Minimum of 8 years in software architecture, distributed systems, and platform engineering. * Minimum of 5 years in an architect or technical lead role running massive, internet-scale production environments. * Minimum of 3 years supporting the Retail Industry and/or clients * Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience, * You have Developer Leadership experience: Proven track record building internal developer platforms, GitOps workflows (ArgoCD/Flux), infrastructure-as-code (Terraform, Pulumi), and automated developer portals (Backstage or similar). * You have experience with AI/ML Infrastructure: Experience standing up scalable AI runtime and inference architectures, vector databases (e.g., Pinecone, Milvus, Qdrant), model deployment runtimes (vLLM, Triton, Ray), and orchestration frameworks (Kubeflow). * You have experience with Reliability Engineering: Deep command of SLI/SLO definitions, capacity planning, distributed tracing (OpenTelemetry), and disaster recovery architectures. ## Description * Architecture & Strategy: Define technical vision, standards, and roadmaps across the runtime infrastructure, developer tooling, and enterprise AI platforms. * Core Application Platform: Architect scalable, multi-region container orchestration (Kubernetes), service mesh, API gateways, and distributed messaging pipelines capable of handling massive load with 99.9%+ availability. * Developer Platform & DevEx: Design self-service internal developer platforms (IDPs), streamlined CI/CD pipelines, automated testing harnesses, and environment provisioning to minimize cognitive load and accelerate cycle times. * Resilience & Reliability: Institutionalize Site Reliability Engineering (SRE) practices, chaos testing, automated multi-zone/multi-region failovers, and unified observability (metrics, logs, traces). * Technical Governance & Mentorship: Guide platform engineering squads, mentor senior engineers, and balance near-term feature velocity with long-term architectural health. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirement, * You have Distributed Runtime Expertise: Production mastery of Kubernetes, cloud-native architectures (AWS/GCP/Azure), service meshes (e.g., Istio), and high-throughput messaging (e.g., Kafka).