Senior AI Architect - Enterprise GenAI & Agent Frameworks

Accenture PLC; Arlington (VA); In loco; USD 151.000 - 381.000; Tempo pieno

Descrizione del lavoro

Accenture PLC is seeking an AI/ML Senior Architect to design and scale enterprise-grade 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 leveraging GenAI and knowledge engineering.

The role leads end-to-end architecture, including agent orchestration, governance, security, and observability, guiding engineering teams from ideation to production deployment of Generative AI

Competenze

• 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 in 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, and MLOps/LLMOps practices across the ML and LLM lifecycle.

Mansioni

• 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.

Conoscenze

Python

Java

Observability

MLOps

LLMOps

LangGraph

CrewAI

AutoGen

AI platforms

GenAI

Formazione

Bachelor's degree

Strumenti

LangGraph

CrewAI

AutoGen

Descrizione del lavoro

Accenture PLC is seeking an AI/ML Senior Architect to design and scale enterprise-grade 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 leveraging GenAI and knowledge engineering.

The role leads end-to-end architecture, including agent orchestration, governance, security, and observability, guiding engineering teams from ideation to production deployment of Generative AI