Job Description

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We are looking for an experienced Principal AI Consultant / AI Architect to drive enterprise AI transformation for a leading banking client. This is more than a hands-on AI engineering role—it requires a consultative mindset , solid leadership , and the ability to engage with business stakeholders, define AI strategy, and help customers adopt AI solutions at scale.

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The ideal candidate will have 10+ years of AI/ML experience , with deep expertise in Generative AI, LLMs, RAG, Agentic AI, and enterprise AI architectures , along with proven experience implementing AI solutions that deliver measurable business outcomes.

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This role also requires someone who understands how to position, pitch, and sell AI initiatives , working closely with business leaders to identify opportunities, define ROI, and build AI transformation roadmaps.

Key Responsibilities n

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- Lead enterprise AI transformation initiatives for banking and financial services clients.
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- Engage with CXOs, business stakeholders, and technical teams to identify high-value AI use cases.
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- Design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions.
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- Architect scalable AI platforms leveraging LLMs, Agentic AI, RAG, vector databases, and enterprise knowledge systems.
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- Drive AI strategy, roadmap definition, and AI adoption across multiple business functions.
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- Collaborate with cross-functional teams to translate business challenges into AI-driven solutions.
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- Build AI solution proposals, conduct client workshops, and contribute to AI Go-to-Market (GTM) initiatives.
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- Present AI capabilities, business value, and ROI to executive stakeholders.
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- Mentor engineering teams and establish AI engineering best practices.
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- Optimize AI models for scalability, governance, security, and Responsible AI compliance.
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- Stay current with emerging AI technologies and industry trends.
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Mandatory Skills nn
- 10+ years of AI/ML Engineering or AI Solution Architecture experience.
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- Strong expertise in:
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- Generative AI
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- Retrieval-Augmented Generation (RAG)
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- Agentic AI / AI Agents / Multi-Agent Systems
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- Prompt Engineering
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- AI Orchestration Frameworks
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- Deep understanding of enterprise AI architectures beyond RAG and MCP , including:
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- Graph RAG
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- AI Agents
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- Knowledge Graphs
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- AI Governance
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- Strong programming skills in Python, Java, or R .
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- Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI or similar frameworks.
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- Experience deploying AI solutions on AWS, Azure, or Google Cloud.
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- Strong understanding of MLOps, CI/CD, model deployment, monitoring, and AI lifecycle management.
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- Excellent knowledge of software engineering principles, distributed systems, APIs, and cloud-native architectures.
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Preferred Skills nn
- Experience implementing AI across business functions such as:
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- Customer Service
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- Operations
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- Lending
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- Contact Centre
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- HR
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- Finance
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- Strong consulting and stakeholder management experience.
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- Experience leading AI discovery workshops and solution design sessions.
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- Exposure to Computer Vision, NLP, Speech AI, or Multimodal AI.
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- Knowledge of Responsible AI, AI governance, and regulatory compliance.
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What We're Looking For n

We're seeking someone who can demonstrate:

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- Proven experience implementing enterprise AI solutions that deliver measurable business value.
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- A strong consulting mindset with the ability to engage senior executives and influence decision-making.
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- Leadership experience driving enterprise AI programs from strategy through implementation.
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- Experience developing AI business cases, defining ROI, and articulating AI value propositions.Strong Go-to-Market (GTM) experience, including AI solution pitching, proposal development, and customer-facing presentations.
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- The ability to bridge business and technology while driving AI adoption across enterprise functions.
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- Deep AI expertise extending beyond traditional RAG and MCP implementations.
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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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📌 AI Architect (Sydney)
🏢 Tech Aalto
📍 Sydney