Technology/Retail Platform Architect

• 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).

• 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.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Role Location Annual Salary Range

California $132,500 to $302,400

Colorado $132,500 to $261,300

Connecticut $132,500 to $261,300

District of Columbia $141,100 to $278,200

Illinois $122,700 to $261,300

Maine $112,900 to $222,500

Maryland $132,500 to $261,300

Massachusetts $132,500 to $278,200

Minnesota $132,500 to $261,300

New York $122,700 to $302,400

New Jersey $141,100 to $302,400

Ohio $122,700 to $241,900

Virginia $122,700 to $278,200

Washington $141,100 to $278,200

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