Lead Engineer AI [T500-21583]

ANSR is hiring for one of its clients.

About Visy :

Visy is a family-owned Australian business and a global pioneer in sustainable packaging, recycling and logistics. They operate across 150 sites globally, including operations in Asia, Europe, and the USA, supported by a dedicated workforce of over 7,000 employees. It is Australia and New Zealand’s largest manufacturer of food and beverage packaging, made from household recycling. As Australia’s largest recycler, it processes 40% of Australian households recycling. Visy also supports customers with logistics, packaging supplies, point of sale displays and more. At Visy India, their technology hub in Hyderabad, they are expanding their technical capabilities to support their global business.

Position Summary :

At Visy, we thrive on innovation and the effective integration of technology into our operations. As a global leader in sustainable packaging, we are committed to creating a better world through our industrial and digital transformation efforts. Our IDT team is pivotal in driving Visy’s strategic and operational advancements in technology.

We are seeking an experienced AI Lead to drive implementations of AI-driven, cloud-native applications. The ideal candidate will possess deep expertise in Generative AI, Agentic AI, cloud platforms (AWS / Azure), and modern data engineering practices. This role involves collaborating with cross-functional teams to deliver scalable, secure, and intelligent solutions in an innovation-driven environment.

Why Join Visy?

Joining Visy means becoming part of a team that values collaboration, innovation, and sustainability. You will be a key member of the IDT leadership team, helping drive Visy’s digital transformation strategy across the organization. This role allows you to leverage your technical skills and strategic thinking to make a significant impact on our operations and long-term success. We offer a dynamic work environment, opportunities for professional growth, and the chance to contribute to Visy’s global leadership in sustainable packaging solutions

What are the primary responsibilities of the Role?

• Develop AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning of Large Language Models (LLMs) using frameworks like LangChain, LangGraph, Semantic Kernel, and Hugging Face.
• Deploy RAG pipelines using Azure OpenAI, Azure AI Search, and vector databases for enterprise knowledge management.
• Integrate multimodal data sources (text, images, documents) into RAG workflows to enhance chatbot and Copilot Studio capabilities.
• Design and implement prompt engineering strategies for Copilot Studio, optimizing user experience and accuracy in enterprise copilots.
• Implement cloud migration strategies for monolithic systems to microservices / serverless architectures using AWS / Azure.
• Lead development of document automation systems leveraging models such as Azure OpenAI Services, AWS Bedrock, and Agentic AI workflows.
• Optimize data lakes, ETL pipelines, and data injection processes.
• Build centralized agents for intelligent content discovery and sentiment analysis.
• Ensure application and pipeline security with private VNets, private endpoints, and container security tools.
• Build and maintain CI / CD pipelines, perform vulnerability analysis, and ensure compliance.
• Guide modernization initiatives across app stacks and coordinate with business stakeholders.
• Provide technical leadership and mentoring to engineering teams during all phases of the SDLC.
• Collaborate with product and business teams to identify high-impact use cases for Generative AI and Copilot Studio, translating requirements into scalable solutions.
• Evaluate and implement security, compliance, and responsible AI practices for all Gen AI and Copilot deployments.
• Develop AI solutions, including Generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning of Large Language Models (LLMs) using frameworks like LangChain, LangGraph, Semantic Kernel, and Hugging Face.
• Deploy RAG pipelines using Azure OpenAI, Azure AI Search, and vector databases for enterprise knowledge management.
• Integrate multimodal data sources (text, images, documents) into RAG workflows to enhance chatbot and Copilot Studio capabilities.
• Design and implement prompt engineering strategies for Copilot Studio, optimizing user experience and accuracy in enterprise copilots.
• Implement cloud migration strategies for monolithic systems to microservices / serverless architectures using AWS / Azure.
• Lead development of document automation systems leveraging models such as Azure OpenAI Services, AWS Bedrock, and Agentic AI workflows.
• Optimize data lakes, ETL pipelines, and data injection processes.
• Build centralized agents for intelligent content discovery and sentiment analysis.
• Ensure application and pipeline security with private VNets, private endpoints, and container security tools.
• Build and maintain CI / CD pipelines, perform vulnerability analysis, and ensure compliance.
• Guide modernization initiatives across app stacks and coordinate with business stakeholders.
• Provide technical leadership and mentoring to engineering teams during all phases of the SDLC.
• Collaborate with product and business teams to identify high-impact use cases for Generative AI and Copilot Studio, translating requirements into scalable solutions.
• Evaluate and implement security, compliance, and responsible AI practices for all Gen AI and Copilot deployments.

Key Technical Skills :

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