Senior AI Architect for Enterprise Agentic & GenAI

Accenture; Carmel (IN); On-site; USD 150,000 - 230,000; Full time

Job summary

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade Agentic AI platforms across multi-cloud environments. You will partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI and foundation models.

Lead end-to-end architecture, governance, and security, while guiding engineering teams from ideation through production deployment of Generative AI platforms used across engagements.

Qualifications

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

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 enabling 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 (Amazon Bedrock AgentCore, Anthropic Claude Agent SDK); 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 programming

AI platforms & tools

Cloud architecture

Agentic AI / Generative AI

Observability & monitoring

MLOps/LLMOps practices

Education

Bachelor's degree or equivalent

Associate degree (minimum 6 years)

Tools

LangGraph

CrewAI

AutoGen

Amazon Bedrock AgentCore

Anthropic Claude Agent SDK

Job description

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade Agentic AI platforms across multi-cloud environments. You will partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI and foundation models.

Lead end-to-end architecture, governance, and security, while guiding engineering teams from ideation through production deployment of Generative AI platforms used across engagements.