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Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Designs and implements large-scale generative AI and agentic systems for enterprise clients, focusing on multi-agent architectures, RAG, and cloud integration across AWS/Azure/GCP.
Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI solutions using Cloudera’s platform.
Designs and implements enterprise AI platforms, including LLM-based solutions, RAG architectures, and AI agents, using Microsoft Fabric and Azure.
AI Intern to build and deploy generative AI and RAG systems, integrate enterprise data, and assist with backend APIs and cloud deployment.
Design and implement AI agents and RAG systems to automate software engineering tasks like code review, testing, and documentation, driving measurable productivity gains across the SDLC.
Build and deploy enterprise-grade AI systems using LLMs, Agentic AI, and RAG; integrate with cloud platforms and enterprise workflows while ensuring security, governance, and compliance.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Senior AI Engineer builds secure, scalable AI solutions for a federal government project using Microsoft Azure AI tools, RAG, and agentic applications to enhance productivity and decision-making.
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.
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.
Build and deploy AI-powered applications, copilots, and automations using Microsoft and AWS AI services to improve business efficiency and customer experience.
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.
Design and advise on scalable, secure AI architectures for AWS customers, focusing on GenAI/ML and Agentic systems, and evangelize best practices through technical content and workshops.
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.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Designs enterprise-scale AI and data platforms, including RAG systems and cloud-native architectures, while establishing governance frameworks and vendor-agnostic standards for secure, scalable AI solutions.
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