Website:
visglobal.com.au
Job details:
Company Description
VIS Global Pty Ltd specializes in providing cutting-edge enterprise communication and customer experience management solutions. With expertise across multiple industry verticals, VIS Global offers end-to-end services, including consulting, design, implementation, training, and support. The company delivers state-of-the-art capabilities in areas such as enterprise voice, unified communication, data networking, and video solutions. Their mission is to empower organizations with innovative and efficient communication tools that drive exceptional customer experiences.
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
Technical Skills
- 6- 8 years of total experience, with extensive tenure as a Lead in AI and cloud-driven
transformations.2+ years of experience as a Gen AI Engineer out of total experience.
- Generative AI & LLMs: Hands-on experience with Generative AI, Large Language Models (LLMs),
Prompt Engineering, Lang Chain, AutoGen, and AWS Bedrock.
- AI Platforms & Tools: Familiarity with Microsoft Copilot Studio, Power Platform, Azure AI Foundry,
Azure AI Studio, NL2SQL, and orchestration of multi-agent systems.
- Programming & Development: Proficiency in Python and Java (React); experience with front-end
technologies including HTML, JavaScript, Angular, and jQuery.
- Data & Search Technologies: Expertise in vector and graph databases such as Elasticsearch, AI
Search, and Neo4j; experience with RAG frameworks, prompt flow, and monitoring tools.
- Cloud & Infrastructure: Strong background in cloud-native architecture and orchestration across
AWS and Azure platforms.
- Dev SecOps & CI/CD: Skilled in building CI/CD pipelines and integrating Dev SecOps practices using
GitHub and related tools.
- Governance & Ethics: Knowledge of data governance, privacy, and ethical principles for responsible
AI deployment in enterprises.
- Industry Experience: Exposure to deploying and scaling AI solutions in manufacturing or industrial
domains.
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