Senior AI Architect & Enterprise GenAI Leader

Accenture PLC; San Diego (CA); On-site; USD 163,000 - 414,000; Full time

Job summary

Accenture seeks an AI/ML Senior Architect to design and scale enterprise-grade Agentic AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, and cloud-native AI services.

The role requires deep hands-on expertise in AI platforms, orchestration tools, and MLOps, with a focus on security, governance, and observability across the ML/LLM lifecycle.

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• Minimum of 6 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum of 4 years experience in designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and 3rd party tools.
• Minimum of 2 years of experience in the following: Hands-on experience with AI platforms (Claude, open-source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle.

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops with client and Accenture teams; finalize requirements and TCO for AI solutions.
• Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models.
• Design architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge and data layer).
• Design knowledge architecture (knowledge graphs, semantic layers) that enables AI agents at enterprise scale.
• Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.
• Design reusable AI components, agents, and solution patterns for repeatable engagement delivery.
• Architect and stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Anthropic Claude Agent SDK); design reference architectures that scale across engagements.
• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle.
• Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.

Skills

Python/Java

AI platforms

Agentic AI

MLOps/LLMOps

Cloud AI services

Foundational models

Education

Bachelor's degree or equivalent

Tools

Claude

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Job description

Accenture seeks an AI/ML Senior Architect to design and scale enterprise-grade Agentic AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, and cloud-native AI services.

The role requires deep hands-on expertise in AI platforms, orchestration tools, and MLOps, with a focus on security, governance, and observability across the ML/LLM lifecycle.