Senior AI Architect: Multi-Cloud Agentic AI Platforms

Accenture

Chicago (IL)

On-site

USD 68,000 - 189,000

Full time

5 days ago

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Job summary

Accenture AWS Practice seeks an AI/ML Senior Architect to design and scale enterprise-grade Agentic AI platforms across public, private, or sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI and cloud-native services.

The role requires deep expertise in Python/Java, cloud AI tools, and governance, with 25%–100% travel depending on client needs.

Qualifications

12+ years of experience in Python, Java, or equivalent.
6+ years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.
4+ years designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud.
2+ years hands-on experience with AI platforms, agentic orchestration tools, and MLOps/LLMOps practices.
Bachelor's degree or equivalent work experience.

Responsibilities

Architect enterprise-ready AI agent systems including retrieval, orchestration, governance, evaluation, and observability.
Lead architecture workshops with client and Accenture teams; 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, AI security, governance, DevOps, knowledge layer).
Run AgentOps, LLMOps, AI Governance, and Observability; drive ML lifecycle pipelines.