Senior AI Architect: Enterprise GenAI & Agentic AI Lead

Accenture; Mountain View (CA); On-site; USD 163,000 - 414,000; Full time

Job summary

Accenture is seeking 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 AI agent frameworks leveraging GenAI, foundation models, and knowledge engineering.

The role leads end-to-end architecture for agent orchestration, governance, security, and observability while guiding engineering teams from ideation through production

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.
• 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.
• Designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
• Designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

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

evaluation tooling

logging

monitoring

observability

AI technologies

cloud-native AI

LangGraph

CrewAI

AutoGen

MLOps/LLMOps

Agent orchestration

Education

Bachelor's degree or equivalent (minimum 12 years)

Tools

Claude

open‑source AI tooling

Job description

Accenture is seeking 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 AI agent frameworks leveraging GenAI, foundation models, and knowledge engineering.

The role leads end-to-end architecture for agent orchestration, governance, security, and observability while guiding engineering teams from ideation through production