Senior AI Architect: Enterprise GenAI & Agent Platforms

Accenture; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Accenture seeks an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will lead AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI, foundation models, and knowledge engineering.

You will guide cross-functional teams from ideation to production, oversee agent orchestration, governance, security, and observability, ensuring scalable, cost-efficient and trustworthy AI solutions for

Qualifications

• 12+ years of experience with Python/Java or equivalent.
• 6+ years with AI technologies from public cloud, open source, and 3rd party tooling.
• 4+ years designing/operationalizing large-scale AI/ML on at least one major cloud.
• 2+ years with agentic orchestration tools and MLOps/LLMOps practices.
• Bachelor's degree or equivalent work experience.

Responsibilities

• Architect enterprise-ready AI agent systems (retrieval, orchestration, governance).
• Lead architecture workshops; finalize requirements and TCO.
• Evaluate technologies; build financial viability models.
• Design blueprints (multi-agent, AI security, governance, DevOps, knowledge layer).
• Design knowledge architecture (knowledge graphs, semantic layers).
• Architect for scalability, security, governance, and performance across clouds.
• Create reusable AI components, agents, and patterns for repeatable delivery.
• Implement Agent frameworks across providers (Bedrock, Claude SDK); scale across engagements.
• Run AgentOps, LLMOps, AI Governance, AI Security, Observability; drive ML/LLM lifecycle pipelines.
• Troubleshoot and optimize AI systems for cost, reliability, and trust.

Skills

Python

Java

Observability

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Claude Agent SDK

Job description

Accenture seeks an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will lead AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI, foundation models, and knowledge engineering.

You will guide cross-functional teams from ideation to production, oversee agent orchestration, governance, security, and observability, ensuring scalable, cost-efficient and trustworthy AI solutions for