Lead Enterprise AI Platform Architect

Accenture PLC; Charlotte (NC); On-site; USD 69,000 - 83,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

Paid time off

Job summary

Accenture Flex is seeking an AI Infrastructure Architect to define end-to-end architecture for an enterprise AI platform. You will drive platform strategy, integration of AI/LLM capabilities, data architecture, security, and production engineering while aligning with enterprise standards and regulatory requirements.

You will lead architecture reviews, set standards, and guide modernization across AI, cloud-native, and data platforms.

Qualifications

• Minimum 10 years of software architecture and enterprise platform engineering experience.
• Minimum 5 years of Python development experience.
• Minimum 5 years designing AI/ML, GenAI, or advanced analytics platforms.
• Associate’s Degree required.

Responsibilities

• Own the target-state architecture and technical roadmap for the AI platform.
• Design scalable, resilient, and secure enterprise AI solutions.
• Define reference architectures, standards, patterns, and best practices.
• Lead architecture reviews, technology selection, and solution governance.
• Drive modernization initiatives across AI, cloud-native, and data platforms.
• Design solutions leveraging LLMs, RAG, Agentic AI, MCP, vector databases, and knowledge management frameworks.
• Architect multi-agent workflows for document intelligence, commentary generation, validation automation, and data analysis.
• Define model integration strategies with enterprise AI services.
• Guide implementation of prompt management, evaluation frameworks, model governance, and AI observability.
• Define architectures for structured and unstructured data ingestion.
• Design integrations with databases, Starburst, S3, FileNet, and enterprise knowledge repositories.
• Architect metadata generation, chunking, embeddings, vector storage, and retrieval strategies.
• Establish data quality, lineage, and governance standards.
• Lead architecture for OpenShift-based deployments and containerized workloads.
• Design scalable services utilizing Redis, Oracle, NetApp S3, and related infrastructure components.
• Establish high availability, disaster recovery, failover, and performance optimization strategies.
• Drive automation using CI/CD pipelines and infrastructure-as-code approaches.
• Ensure compliance with enterprise security standards and AI governance requirements.
• Incorporate entitlement management and access-control frameworks.
• Partner with risk, audit, and compliance stakeholders during architecture reviews and approvals.
• Support model risk management and regulatory review activities.
• Provide technical leadership to architects, engineers, data scientists, and product teams.
• Partner with business stakeholders to translate strategic objectives into technical solutions.
• Mentor engineers and establish architecture excellence practices.
• Lead technology planning, capacity forecasting, and platform investment decisions.

Skills

Software architecture

Python development

AI/ML architecture

Leadership

Education

Associate’s Degree

Tools

OpenShift

Kubernetes

Redis

Oracle

Job description

Accenture Flex is seeking an AI Infrastructure Architect to define end-to-end architecture for an enterprise AI platform. You will drive platform strategy, integration of AI/LLM capabilities, data architecture, security, and production engineering while aligning with enterprise standards and regulatory requirements.

You will lead architecture reviews, set standards, and guide modernization across AI, cloud-native, and data platforms.