Senior AI Architect: GenAI & Multi-Cloud Platforms

Accenture; New York (NY); On-site; USD 151,000 - 414,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays and PTO

Job summary

Accenture is seeking 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, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, knowledge engineering, and cloud-native AI services.

Lead end-to-end architecture covering agent orchestration, governance, security, LLMOps, and observability, guiding engineering teams from ideation through

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• Minimum of 6 years of experience with key AI technologies from cloud providers and tools.
• Minimum of 4 years designing and operationalizing large-scale AI/ML solutions on at least one public cloud.

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops; finalize requirements and TCO for AI solutions.
• Evaluate technologies for full-stack AI platforms; build financial viability models.
• Design knowledge architectures and agent frameworks across providers.
• Run AgentOps, LLMOps, AI Governance, and Observability; drive MLOps pipelines.
• Troubleshoot, optimize AI systems for cost, performance, and trust.

Skills

Python

Java

AI/ML

Cloud platforms

Education

Bachelor’s degree

Tools

Amazon Bedrock AgentCore

Anthropic Claude

LangGraph

CrewAI

MLOps

Job description

Accenture is seeking 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, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, knowledge engineering, and cloud-native AI services.

Lead end-to-end architecture covering agent orchestration, governance, security, LLMOps, and observability, guiding engineering teams from ideation through