2 days ago
Sydney, Australia +4 moreSenior
Responsibilities
- Translate business strategy into technical visions and non-functional requirements for performance, reliability, and cost.
- Lead client and leadership workshops covering technical feasibility, project scope, and expectations.
- Evaluate AI platform and foundation-model build-versus-buy decisions, including Arize and LangSmith.
- Architect multi-agent systems, the MCP Control Plane, Agent Registry, AI Gateway, certification gates, and core agent services.
- Design AI data pipelines, context layers, knowledge graphs, vector search, semantic retrieval, and reliable RAG pipelines.
- Architect model adaptation, dynamic model routing, high-throughput inference, response caching, and request batching.
- Define centrally enforced security, governance, observability, identity, guardrails, and FinOps controls for AI systems.
- Establish system evaluation and OpenTelemetry-based observability frameworks.
- Maintain enterprise AI reference architectures, reusable design patterns, and approved software-component libraries.
- Build proof-of-concept prototypes and foundational software components, produce architecture artifacts and ADRs, mentor engineering teams, and research emerging AI technologies.
Requirements
- Bachelor's degree or equivalent.
- At least 2 years designing and deploying enterprise-grade advanced AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor.
- At least 2 years of experience in agentic, LLM, and generative AI.
- At least 4 years of Python coding experience.
- At least 2 years architecting and operationalizing LLM-driven application architecture patterns.
- At least 4 years coding engineering, machine learning, deep learning, and NLP solutions and applications.
- At least 4 years as an industry machine learning architect designing big-data, machine-learning, and large-scale analytical engineering solutions.
Benefits
- 18 weeks of paid parental leave.
- Long- and short-term career break opportunities.
- Structured career development and local and international career opportunities.
- Flexible work arrangements supporting employee health and wellbeing.
- Comprehensive formal and informal training in business, technical, professional, and functional skills.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.