AI Architect & Associate Director - GenAI, Multi-Cloud

Accenture; Redmond (WA); On-site; USD 174,000 - 381,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Job summary

Accenture is seeking an AI/ML Senior Architect to deliver full-stack AI architectures across public, private, and sovereign clouds. You will design enterprise-grade agentic AI platforms using GenAI, foundation models, and knowledge engineering, guiding engineering teams from ideation to production.

You will collaborate with clients to define AI strategy, architect reference solutions, and implement agent frameworks with governance, security, and observability.

Qualifications

• Minimum 12 years of experience in Python, Java, or equivalent.
• Minimum 6 years of experience with AI technologies from public cloud providers, open source, and 3rd party tooling.
• Minimum 4 years designing and operationalizing large-scale AI/ML solutions on at least one major public cloud.
• Minimum 2 years hands-on experience with AI platforms and agentic orchestration tools.
• Experience designing scalable Agentic AI and Generative AI platforms used by multiple AI solutions.
• Bachelor's degree or equivalent work experience (12 years) or 6 years if Associate Degree.

Responsibilities

• Architect enterprise-grade AI agent systems: retrieval, orchestration, governance, observability.
• Lead architecture workshops; finalise requirements and TCO for AI solutions.
• Evaluate and select technologies for full-stack AI platforms; build financial viability models.
• Design blueprints for multi-agent, AI security, governance, DevOps, and knowledge layers.
• Design knowledge architectures enabling AI agents at enterprise scale.
• Architect for scalability, security, governance, and performance across clouds.
• Create reusable AI components, agents, and patterns for repeatable delivery.
• Stand up custom agent frameworks across providers; design scalable reference architectures.
• Lead AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines.
• Troubleshoot, optimize, and tune AI systems for cost, reliability, and trust.

Skills

Python

Java

AI Technologies

Cloud Architecture

Agentic AI

LLMOps

Evaluation & Observability

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Amazon Bedrock AgentCore

Anthropic Claude Agent SDK

Job description

Accenture is seeking an AI/ML Senior Architect to deliver full-stack AI architectures across public, private, and sovereign clouds. You will design enterprise-grade agentic AI platforms using GenAI, foundation models, and knowledge engineering, guiding engineering teams from ideation to production.

You will collaborate with clients to define AI strategy, architect reference solutions, and implement agent frameworks with governance, security, and observability.