Senior AI LLM Platform Architect

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

Job summary

Accenture Australia is seeking a senior AI/LLM Architect to design and deliver end-to-end AI platform architectures for enterprise-scale deployments. You will own the technical design across ML, generative AI, and agentic systems, guiding cross-functional teams of engineers, data scientists, and product owners.

You’ll define non-functional requirements, security and governance controls, and evaluation metrics to ensure scalable, trustworthy AI solutions aligned with client business goals.

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 vendor.
• 2+ years in the Agentic, LLM and Generative AI space.
• 4+ years of coding in Python.
• 2+ years architecting and operationalizing LLM-driven application architecture patterns.
• 4+ years in coding, ML, NLP solutions and applications.

Responsibilities

• Translate business strategy into a technical vision by defining non-functional requirements (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 foundational models.
• Architect multi-agent systems governed by a MCP Control Plane.
• Design and implement the Agent Registry and the AI Gateway for runtime policy enforcement.
• Define security, governance, and observability as centrally enforced controls across AI systems.

Skills

AI architect

Python

Cloud platforms

Education

Bachelor's Degree or equivalent

Tools

Arize

LangSmith

Job description

Accenture Australia is seeking a senior AI/LLM Architect to design and deliver end-to-end AI platform architectures for enterprise-scale deployments. You will own the technical design across ML, generative AI, and agentic systems, guiding cross-functional teams of engineers, data scientists, and product owners.

You’ll define non-functional requirements, security and governance controls, and evaluation metrics to ensure scalable, trustworthy AI solutions aligned with client business goals.