Senior AI Architect: GenAI & Multi-Cloud Agent Platforms

Accenture; Hartford (CT); On-site; USD 140,000 - 190,000; Full time

Job summary

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade 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 using GenAI and foundation models.

Lead end-to-end architecture, governance, and AgentOps across engagements. The role requires extensive experience with AI platforms, multi-agent architectures, and cloud-native services, guiding engineering

Qualifications

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

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops; finalize requirements and TCO for AI solutions.
• Evaluate and select technologies for full-stack AI platforms; build financial viability models.
• Design architectural blueprints (multi-agent, security, governance, DevOps, knowledge layer).
• Design knowledge architectures (knowledge graphs, semantic layers) for enterprise-scale AI agents.
• Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.
• Design reusable AI components, agents, and reference architectures across engagements.
• Run AgentOps, LLMOps, AI governance, security, and observability; drive MLOps pipelines.
• Troubleshoot, optimize, and tune AI systems for cost, reliability, and trust.

Skills

Python

Java

observability

AI agents

Generative AI

MLOps

LLMOps

Education

Bachelor's degree

Tools

LangGraph

CrewAI

AutoGen

Job description

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade 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 using GenAI and foundation models.

Lead end-to-end architecture, governance, and AgentOps across engagements. The role requires extensive experience with AI platforms, multi-agent architectures, and cloud-native services, guiding engineering