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Lead AI Engineer builds and deploys production AI workflows, agents, and integrations to automate business processes and improve security at an Australian comms-tech company.
Designs, builds, and deploys AI solutions (generative, agentic, automation) using Microsoft tools to support university curriculum, research, and operations.
Design, build, and deploy production-grade AI/LLM solutions, including agentic systems, using Python and cloud platforms to power real customer outcomes.
Builds, deploys and operates enterprise-grade AI systems in production, collaborating with data teams to align AI products with business goals and set engineering standards.
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.
Build and lead AI agent systems that automate business workflows using Python, TypeScript, and LLM tooling like Relevance AI and Anthropic Claude.
Lead AI Engineer designs and implements AI solutions to optimize project delivery, mentors engineers, and integrates ML models into operations.
Designs and builds AI-driven automation tools to streamline trading and compliance workflows for a global investment bank.
Build and deploy AI-powered applications, copilots, and automations using Microsoft and AWS AI services to improve business efficiency and customer experience.
Builds and maintains knowledge graphs and graph-based AI systems using Neo4j or Amazon Neptune to power data governance, lineage, and generative AI in enterprise environments.
Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Build and deploy AI/ML models to automate workflows and improve efficiency for client projects using Python, TensorFlow, and PyTorch.
Build and ship production-grade agentic AI systems on Azure AI Foundry and Databricks for an Australian insurer, owning architecture, pipelines, orchestration, and stakeholder communication.
Design and deploy autonomous AI agents on GCP’s Vertex AI, using Gemini models, RAG, and agentic frameworks to automate enterprise workflows.
Design and scale AI solutions for retail using cloud tech, ML, and generative AI, collaborating with teams to deliver commercial impact.
Design and scale AI-enabled products, partnering with teams to deliver measurable business outcomes using modern cloud tech, ML, and generative AI.
Build and deliver practical AI agents and workflows for enterprise clients, turning business problems into measurable solutions using platforms like Foundry and Bedrock.
Design and deploy AI-driven automation for trading workflows, integrating LLMs and RPA tools with legacy banking systems to streamline operations and ensure compliance.
Build production-grade agentic AI systems that analyze workplace data (surveys, reviews, goals) to power HR features like feedback and performance insights using Python, React, and graph/RAG techniques.
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
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