Principal AI Architect
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Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Description:
Location: Sydney
Role Type: Permanent
Recognised as one of the worlds largest IT and business consulting firms CGI has offices across Australia supporting local public and private sector clients to solve real business problems.
We have an opportunity for a Principal AI Architect to join our Data & AI Engineering practice and lead AI strategy architecture and enterprise-scale solution design for a major client. Drawing on your deep expertise in AI data engineering and cloud architecture you will shape next-generation AI platforms influence C-suite stakeholders and contribute to our strong culture of technical leadership and innovation.
Flexible work is available including hybrid work from home
Your future duties and responsibilities:
Report to Head of Data/AI Engineering and lead enterprise-wide AI/data architecture
Develop AI strategy reference architectures design patterns and architectural standards
Evaluate technologies drive POCs and provide guidance on complex technical decisions
Build business cases with roi/tco analysis and translate technical concepts for c-suite
Establish architecture governance (ADRs) ensure security/compliance requirements
Mentor architects/engineers present to senior leadership represent organization at events
Stay current with emerging AI/ML technologies and industry best practices
Required qualifications to be successful in this role:
Leadership & Strategic Impact
Proven leadership in defining AI/data strategy and enterprise architecture aligned with business objectives
Demonstrated ability to build compelling business cases with ROI analysis TCO modeling and FinOps cost optimization
Exceptional communication skills with the ability to influence and present to C-suite stakeholders
Track record of mentoring architects and engineers while establishing architecture governance frameworks
Data Engineering & Cloud Infrastructure
Strong data engineering background including data lakes lakehouses warehouses and batch/streaming ETL/ELT pipelines
Deep expertise in data governance quality management metadata management and lineage tracking
Hands-on proficiency with at least one major cloud platform (AWS Azure or GCP)
Experience with modern vector databases and hybrid search capabilities
Core ML & Production MLOps
Deep expertise in ML algorithms deep learning architectures (CNNs RNNs Transformers) and neural networks
Comprehensive understanding of full model lifecycle from data preparation through production deployment
Strong experience across supervised unsupervised semi-supervised and reinforcement learning paradigms
Production ML expertise including deployment monitoring drift detection retraining and CI/CD pipelines
Proficiency with model serving A/B testing canary deployments and real-time inference systems
LLMs & Generative AI Implementation
Hands-on experience with LLMs/SLMs embedding models Cross Encoders and VLMs (GPT-4V Claude Gemini)
Advanced prompting techniques including chain-of-thought few-shot learning and instruction tuning
Expertise with tool use function calling and at least one agentic framework (LangChain LangGraph LlamaIndex CrewAI ADK)
Working knowledge of at least two cloud AI services (AWS Bedrock & AgentCore Azure AI Foundry or Google Vertex AI)
RAG Architecture & Retrieval Systems
Expertise designing RAG pipelines with various patterns (NaiveRAG HybridRAG GraphRAG AgenticRAG)
Strong experience with optimized chunking strategies vector search indexes and hybrid search implementations
Proficiency with reranking query routing and cost optimization strategies for retrieval systems
AI Safety Evaluation & Governance
Strong experience with AI evaluation frameworks (DeepEval RAGAs MLFlow LLM-as-Judge)
Expertise in hallucination detection/mitigation factuality verification and content moderation
Implementation experience with guardrails PII detection toxicity filtering and responsible AI practices
AI Agents & Advanced Systems
Understanding of agent workflows including task decomposition planning reflection and tool use
Experience with state management memory architectures observability and error recovery patterns
Knowledge of context window management token optimization and structured output generation
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Staff IC
Key Skills
- Kubernetes
- S3
- Google Cloud Platform
- Cassandra
- System Architecture
- Redshift
- AWS
- Cloud Architecture
- NoSQL
- UML
- Kafka
- Distributed Systems
About Company
The COMPANY is one of the few end-to-end consulting firms with the scale, reach, capabilities and commitment to meet clients’ enterprise digital transformation needs. Our 77,500 consultants and professionals work side-by-side with clients in 10 industries across more than 400 location ... View more
