Senior AI Architect: GenAI & Agentic Platforms

Accenture PLC; Carmel (IN); Hybrid; USD 151,000 - 414,000; Full time

Job summary

Accenture PLC 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 using GenAI, foundation models, and cloud-native AI services.

You will lead end-to-end architecture covering agent orchestration, governance, security, and observability while guiding engineering teams from ideation through

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 designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud.
• 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.
• Bachelor's degree or equivalent work experience (12 years) or Associate Degree with 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

Cloud platforms

AI frameworks

Education

Bachelor's degree

Tools

LangGraph

CrewAI

AutoGen

Job description

Accenture PLC 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 using GenAI, foundation models, and cloud-native AI services.

You will lead end-to-end architecture covering agent orchestration, governance, security, and observability while guiding engineering teams from ideation through