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Role Overview
We are seeking a highly experienced AI Architect to lead the design and implementation of enterprise AI and GenAI solutions within a large-scale insurance transformation programme. This role will serve as the technical and strategic lynchpin between business stakeholders, product teams, data teams, and engineering functions.
The successful candidate will define the AI architecture roadmap, drive AI solution governance, and ensure scalable, secure, and compliant implementation across multiple insurance business domains.
Key Responsibilities
Required Experience
Preferred Skills
Ideal Candidate Profile
Job ID: 151235291
Skills:
Kafka, Google Cloud, MLops, Spark, Microsoft Azure, Databricks, AWS, Airflow, Qdrant, Llm, agentic systems, Chroma, dbt, FAISS, RAG, Weaviate, AIOps
Skills:
.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization
Skills:
data warehouses , API design, Sql, Devops, MLops, Cloud Infrastructure, Data Governance, Azure, Python, AWS, LLMOps, data platforms, security-by-design, lakehouses, privacy-by-design, AI architecture, data lakes, infrastructure-as-code, Access Control
Skills:
Docker, Kubernetes, CrewAI, MLOps toolchains, LangChain, AutoGen, open-source LLMs, AI tech stacks
Skills:
Machine Learning, Google Cloud, Enterprise Integration, MLops, Azure, AWS, Generative AI, LLMOps, cloud platforms, AI architecture, AI copilots, Agentic AI, intelligent automation, modern data platforms, AI governance, API architecture