Senior AI/LLM Architect – Enterprise AI Platform Lead

Accenture Global; Sydney; In loco; AUD 230.000 - 340.000; Tempo pieno

Vantaggi offerti da questo lavoro

18 weeks paid parental leave

Long & short-term career break

Structured career development program

Local and international career growth

Certified as a Family Inclusive EE

Flexible Work Arrangements

Top 3 Diversity & Inclusion Index

Descrizione del lavoro

Accenture is seeking an experienced Senior AI/LLM Architect to design end-to-end AI platform architectures across ML, generative AI, and agentic systems. You will own technical design, drive MCP-controlled agent systems, memory and data pipelines, and ensure enterprise-grade security, observability, and FinOps controls.

You will mentor cross-functional teams and continuously integrate emerging AI patterns and technologies to maintain a forward-looking architecture.

Competenze

• Bachelor's degree or equivalent required.
• 2+ years designing enterprise AI solutions including agentic, generative and classical AI/ML.
• 4+ years coding experience using Python.
• 2+ years architecting and operationalizing LLM-driven architectures.
• 4+ years coding/machine learning/NLP experience.

Mansioni

• Translate business strategy into a technical vision with NFRs for performance, reliability, and cost.
• Lead stakeholder workshops to align on feasibility and scope.
• Drive technology selection for AI platforms and models.
• Architect multi-agent systems and runtime policy enforcement mechanisms.
• Design and implement an AI gateway, memory service, and data pipelines for AI systems.
• Create a robust security, governance, and observability framework.

Conoscenze

Stakeholder engagement

Architectural design

AI platform governance

Team mentorship

Security & compliance

Formazione

Bachelor's Degree or equivalent

Strumenti

Python

Arize

LangSmith

MCP Control Plane

OTel

Descrizione del lavoro

Accenture is seeking an experienced Senior AI/LLM Architect to design end-to-end AI platform architectures across ML, generative AI, and agentic systems. You will own technical design, drive MCP-controlled agent systems, memory and data pipelines, and ensure enterprise-grade security, observability, and FinOps controls.

You will mentor cross-functional teams and continuously integrate emerging AI patterns and technologies to maintain a forward-looking architecture.