Senior AI Platform Architect: LLM & Agent Systems

Accenture PLC; Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Accenture is seeking an experienced AI/LLM Architect to design and deliver end-to-end AI platform architectures for enterprise-scale deployments. You will own technical designs spanning classical ML, generative AI, and agentic systems, ensuring they meet business objectives and enterprise-grade standards.

You will guide architecture decisions, define ADRs, and mentor cross-functional teams while continuously researching emerging AI patterns and technologies to keep the practice at the cutting

Qualifications

• Bachelor’s Degree or equivalent.
• 5+ years designing & deploying enterprise AI solutions using agentic, generative and classical AI/ML on at least one cloud.
• 2+ years in Agentic, LLM and Generative AI space.
• 4+ years coding in Python.
• 2+ years architecting and operationalizing LLM driven application architecture patterns.
• 4+ years coding, ML/DL and NLP solutions and applications.
• 4+ years as a machine learning architect in big data, large-scale analytical engineering.

Responsibilities

• Translate business strategy into a technical vision with NFRs for performance, reliability, and cost.
• Lead stakeholder workshops to align on feasibility and project scope with clients and leadership.
• Drive technology selection for AI platforms and model routing/selection.
• Architect multi-agent systems and an MCP Control Plane.
• Design and implement the Agent Registry and AI Gateway for runtime policy enforcement.
• Define security, governance, and observability as central controls for all AI systems.

Skills

Python programming

LLM & Generative AI

Agentic AI design

Enterprise AI architecture

Cloud platforms

Education

Bachelor’s Degree or equivalent

Tools

Arize AI

LangSmith

Job description

Accenture is seeking an experienced AI/LLM Architect to design and deliver end-to-end AI platform architectures for enterprise-scale deployments. You will own technical designs spanning classical ML, generative AI, and agentic systems, ensuring they meet business objectives and enterprise-grade standards.

You will guide architecture decisions, define ADRs, and mentor cross-functional teams while continuously researching emerging AI patterns and technologies to keep the practice at the cutting