Senior AI Architect — Enterprise GenAI Platform Lead

Accenture; Austin (TX); On-site; USD 163,000 - 414,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

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 lead client workshops, define AI strategy, and deliver agent frameworks spanning retrieval, orchestration, governance, and observability.

The role requires deep expertise in GenAI, foundation models, knowledge engineering, and cloud-native AI services, with strong leadership across engineering teams from ideation to production deployment.

Qualifications

• Minimum of 12 years of experience in Python, Java, or equivalent.
• 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.
• Minimum of 2 years of hands-on experience with AI platforms and agentic orchestration tools.
• Experience designing 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 associate degree.

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 and select technologies for full-stack AI platforms; build financial-viability models.
• Design architectural blueprints (multi-agent, AI security, governance, DevOps, knowledge layer).
• Design knowledge architectures (knowledge graphs, semantic layers) for AI agents at scale.
• Architect for scalability, security, governance, and performance on multiple clouds.
• Design reusable AI components, agents, and solution patterns for repeatable delivery.
• Stand up custom agent frameworks across providers; design scalable reference architectures.
• Run AgentOps, LLMOps, AI Governance, AI Security, Observability; drive MLOps pipelines.
• Troubleshoot and optimize AI systems for performance, cost, reliability, and trust.

Skills

Python

Java

Observability

AI/ML architecture

Cloud platforms

Communication

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Amazon Bedrock

Anthropic Claude

LLMOps

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 lead client workshops, define AI strategy, and deliver agent frameworks spanning retrieval, orchestration, governance, and observability.

The role requires deep expertise in GenAI, foundation models, knowledge engineering, and cloud-native AI services, with strong leadership across engineering teams from ideation to production deployment.