Senior AI Architect: Enterprise GenAI & Agent Platforms

Accenture; Kirkland (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Accenture in Kirkland, WA, seeks an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, or sovereign clouds. You will partner with clients to define AI strategy and deliver robust agent frameworks using GenAI, foundation models, and knowledge engineering.

Responsibilities include end-to-end architecture, governance, security, and MLOps, guiding engineering teams from ideation through production, with a focus on scalable, reusable components and

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• Minimum of 6 years of experience with AI technologies from cloud providers, open source, and 3rd party tooling.
• Minimum of 4 years experience 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 with AI platforms, agentic orchestration tools, and MLOps/LLMOps practices across the ML and LLM lifecycle.
• Bachelor's degree or equivalent (minimum 12 years) work experience; Associates require 6 years.

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; 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

Observability

AI platforms

MLOps

Cloud services

Agentic AI

Governance

Education

Bachelor's degree or equivalent (12 years work experience)

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Claude Agent SDK

Job description

Accenture in Kirkland, WA, seeks an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, or sovereign clouds. You will partner with clients to define AI strategy and deliver robust agent frameworks using GenAI, foundation models, and knowledge engineering.

Responsibilities include end-to-end architecture, governance, security, and MLOps, guiding engineering teams from ideation through production, with a focus on scalable, reusable components and