Senior AI Architect for GenAI & Agentic Platforms

Accenture; Irving (TX); Presencial; USD 150.000 - 380.000; Jornada completa

Descripción de la vacante

Accenture’s AWS Practice seeks an AI/ML Senior Architect to design and scale enterprise-grade AI agent platforms across public, private, or sovereign clouds. You’ll partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks using GenAI and foundation models.

You will lead end-to-end architecture across agent orchestration, governance, security, LLM/mLOps observability, and knowledge architectures, guiding engineering teams from ideation to

Formación

• 12+ years of experience in Python, Java, or equivalent.
• 6+ years of experience with key AI technologies from 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 (Claude, open-source), agentic orchestration tools, and MLOps/LLMOps.
• Designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple solutions.
• Bachelor's degree or equivalent; if Associate Degree, 6 years experience.

Responsabilidades

• 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 layer).
• Design knowledge architecture (knowledge graphs, semantic layers) enabling AI agents at enterprise scale.
• Architect for scalability, security, governance, and performance on 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, and Observability; drive MLOps pipelines.
• Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.

Educación

Bachelor's degree or equivalent

Herramientas

LangGraph

CrewAI

AutoGen

Amazon Bedrock AgentCore

Anthropic Claude

Descripción del empleo

Accenture’s AWS Practice seeks an AI/ML Senior Architect to design and scale enterprise-grade AI agent platforms across public, private, or sovereign clouds. You’ll partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks using GenAI and foundation models.

You will lead end-to-end architecture across agent orchestration, governance, security, LLM/mLOps observability, and knowledge architectures, guiding engineering teams from ideation to