Senior Manager - Tech Consulting - Data & AI
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Key skills for this role
About the Role
Ernst & Young is seeking an AI Architect to lead the design of next-generation AI platforms and multi-agent solutions across government, smart cities, and infrastructure sectors. The role requires 8+ years of experience in technology, AI, or solution architecture with hands-on GenAI and agentic AI systems.
Key Skills for This Role
Responsibilities
- Design multi agent architectures including orchestration, planning, routing, and human in the loop workflows
- Architect enterprise RAG solutions including vector databases, search strategies, and knowledge systems
- Define memory architectures for agentic systems including short term and long term memory
- Design secure integrations between LLMs, enterprise applications, APIs, and business systems
- Establish AI governance, responsible AI practices, and model risk controls
- Define evaluation frameworks including testing, monitoring, and observability of AI systems
- Support cloud native GenAI platforms across Azure, AWS, and GCP ecosystems
- Advise clients on LLM selection, architecture decisions, and operating models
- Act as a technical authority in client workshops, RFPs, and executive discussions
- Mentor teams and contribute to building EY AI capability
Requirements
- 8+ years of experience in technology, AI, or solution architecture
- Hands on experience with LLMs, GenAI, and agentic AI systems
- Knowledge of frameworks such as LangGraph, Semantic Kernel, AutoGen, or CrewAI
- Strong understanding of RAG architectures and vector databases
- Experience with cloud, APIs, microservices, containers, and enterprise systems
- Knowledge of AI security, governance, and LLMOps
- Strong communication and stakeholder management skills
Full Job Posting
About the Role
- As an AI Architect Agentic AI Systems, you will lead the design of next generation AI platforms and multi agent solutions across key sectors including government, smart cities, infrastructure, and large scale transformation programs.
Key Responsibilities
- Design multi agent architectures including orchestration, planning, routing, and human in the loop workflows.
- Architect enterprise RAG solutions including vector databases, search strategies, and knowledge systems.
- Define memory architectures for agentic systems including short term and long term memory.
- Design secure integrations between LLMs, enterprise applications, APIs, and business systems.
- Establish AI governance, responsible AI practices, and model risk controls.
- Define evaluation frameworks including testing, monitoring, and observability of AI systems.
- Support cloud native GenAI platforms across Azure, AWS, and GCP ecosystems.
- Advise clients on LLM selection, architecture decisions, and operating models.
- Act as a technical authority in client workshops, RFPs, and executive discussions.
- Mentor teams and contribute to building EY AI capability.
Skills and Attributes for Success
- 8+ years of experience in technology, AI, or solution architecture.
- Hands on experience with LLMs, GenAI, and agentic AI systems.
- Knowledge of frameworks such as LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Strong understanding of RAG architectures and vector databases.
- Experience with cloud, APIs, microservices, containers, and enterprise systems.
- Knowledge of AI security, governance, and LLMOps.
- Strong communication and stakeholder management skills.
Technologies
- Python, LangGraph, Semantic Kernel, AutoGen, Azure OpenAI, AWS Bedrock, Google Vertex AI, RAG, vector databases, FastAPI, Docker, Kubernetes, Terraform, Databricks, Snowflake, MLflow.
Why Join EY AI & Data UAE
- You will work on high impact AI transformation programs with leading organizations, helping shape how enterprises adopt Agentic AI responsibly, securely, and at scale in one of the fastest growing AI markets globally.
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