Join Iris Software, a top-rated IT workplace, and contribute to impactful Generative AI projects. We are a fast-growing IT services company dedicated to empowering our clients with technology-enabled transformations across various industries.

At Iris, your career growth is a priority. We foster a culture that values your talent, encourages ownership of your journey, and provides continuous learning opportunities. This role offers a launchpad for your professional development within an award-winning organization known for its innovative spirit and commitment to employee success.

Lead the enterprise Generative AI strategy, setting high standards for AI engineering, governance, and best practices. Design and architect large-scale AI solutions utilizing platforms like Amazon Bedrock and Azure OpenAI Service.

Define standards for RAG, Agentic AI systems, and intelligent automation. Drive the adoption of AI agents, tool-calling frameworks, and multi-agent architectures across business functions. Establish governance for model customization, prompt engineering, and AI solution lifecycle management.

Develop architecture patterns using LangChain and LangGraph. Ensure AI solutions are scalable, reliable, maintainable, and aligned with business objectives. Guide teams on GenAI architecture and best practices, identifying and mitigating AI-related risks.

Proven expertise in Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Search Index, LangChain, and AI Agents & Tool Calling is essential.

Experience in designing enterprise-scale AI architectures with platforms such as Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index is required. Proficiency in defining standards for RAG, Graph RAG, and agentic AI systems is also crucial.

Strong understanding of AI governance, prompt engineering, vector databases, semantic search, and workflow orchestration frameworks like LangChain and LangGraph. The role demands leadership and accountability in driving AI engineering excellence and effective collaboration with stakeholders.