Technology/Retail Platform Architect

Accenture•Miami, FL

1d•$112,900 - $302,400

About The Position

Accenture is seeking an experienced Platform Architect to design, evolve, and unify its core platform ecosystem. The role defines technical strategy across application runtime platforms, developer platforms and DevOps, and enterprise AI platforms. It includes setting technical vision, standards, and roadmaps; architecting scalable platform services; improving developer experience; establishing resilience and reliability practices; and guiding platform engineering teams. Travel may be required, varying from 0 to 100% depending on business need and client requirements.

Requirements

At least 8 years of experience in software architecture, distributed systems, and platform engineering.
At least 5 years in an architect or technical lead role running massive, internet-scale production environments.
At least 3 years supporting the retail industry and/or retail clients.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with a minimum of 6 years of equivalent work experience.

Nice To Haves

Production mastery of Kubernetes, cloud-native architectures (AWS, GCP, or Azure), service meshes such as Istio, and high-throughput messaging such as Kafka.
Experience building internal developer platforms, GitOps workflows such as ArgoCD or Flux, infrastructure as code using Terraform or Pulumi, and automated developer portals such as Backstage.
Experience building scalable AI runtime and inference architectures, using vector databases such as Pinecone, Milvus, or Qdrant, model deployment runtimes such as vLLM, Triton, or Ray, and orchestration frameworks such as Kubeflow.
Deep command of SLI/SLO definitions, capacity planning, distributed tracing such as OpenTelemetry, and disaster recovery architectures.

Responsibilities

Define technical vision, standards, and roadmaps across runtime infrastructure, developer tooling, and enterprise AI platforms.
Architect scalable, multi-region container orchestration, service mesh, API gateways, and distributed messaging pipelines designed for massive load and 99.9%+ availability.
Design self-service internal developer platforms, streamlined CI/CD pipelines, automated testing harnesses, and environment provisioning to reduce cognitive load and accelerate cycle times.
Institutionalize Site Reliability Engineering practices, chaos testing, automated multi-zone and multi-region failovers, and unified observability across metrics, logs, and traces.
Guide platform engineering squads and mentor senior engineers.
Balance near-term feature velocity with long-term architectural health.