DE-AI Senior Manager-BFA-GDSF04

Career Family

EY-DET-FS

Role Type

Sr AI Architect

The opportunity

As an AI Architect part of our EY-DET-FS team you will lead the design development and deployment of

AI-first enterprise architecture. You will work at the intersection of cloud-native systems large language models (LLMs) multimodal AI and Retrieval-Augmented Generation (RAG) Knowledge Augmented Graph (KAG) frameworks to deliver cutting-edge intelligent applications.

You will play a pivotal role in guiding teams defining AI architecture blueprints and making strategic technology decisions that enable scalable secure and responsible AI adoption across global client engagements.

Your Technical Responsibilities

• Architect and design AI and GenAI-based solutions integrating Large Language Models (LLMs) Multimodal Models and custom-trained ML models into enterprise systems.
• Define and implement end-to-end AI solution architectures from data ingestion vectorization and storage to model orchestration inference APIs and integration with business workflows.
• Hands-on experience with RAG (Retrieval-Augmented Generation) architectures including vector databases (e.g. FAISS Pinecone Weaviate Chroma) and embedding pipelines.
• Deep understanding of Model Context Protocol (MCP) and modern AI agent frameworks ensuring interoperability and modular AI service composition.
• Build and operationalize LLM pipelines using LangChain LlamaIndex Semantic Kernel or Haystack and integrate with cloud AI services (AWS Bedrock Azure OpenAI Google Vertex AI).
• Lead initiatives in AI system modernization refactoring existing applications to integrate AI capabilities.
• Ensure MLOps practices are implemented across model lifecycle management versioning deployment monitoring and retraining using MLflow Kubeflow or SageMaker pipelines.
• Provide technical direction in selecting the right AI tools frameworks and deployment strategies to align with enterprise scalability and compliance requirements.
• Maintain awareness of the rapidly evolving AI ecosystem evaluating new frameworks open models (Llama Mistral Falcon etc.) and emerging trends in GenAI and MCP.
• Ensure AI governance data privacy model security and responsible AI practices are embedded in solution delivery.
• Proficiency in LLMOps and model lifecycle management including CI/CD pipelines for training testing and deploying AI models at scale.
• Security Privacy and Compliance knowledge with an understanding of data governance (GDPR HIPAA SOC 2) and secure model serving.
• Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models

Your Managerial Responsibilities:

• • Lead a cross-functional team of AI engineers data scientists and software developers to design and deliver enterprise-grade AI solutions.
  • Translate business goals into technical AI roadmaps and guide the architecture and engineering decisions to achieve them.
  • Review project designs code and architecture to ensure performance maintainability and adherence to best practices.
  • Oversee project scheduling budgeting and resource management while ensuring timely delivery and quality.
  • Act as a trusted advisor to client leadership on AI strategy implementation approach and technology selection.
  • Establish AI architecture standards and reference models for reuse across engagements.
  • Build internal capabilities through knowledge-sharing sessions POCs and internal accelerator initiatives.
  • Foster collaboration with ecosystem partners (OpenAI Hugging Face NVIDIA Databricks etc.) for solution innovation.
• Provide mentorship to engineering teams fostering expertise in AI and software architecture.
• Document architectural designs workflows and decisions for transparency and scalability.
• Collaborate with stakeholders to define business requirements and technical specifications for generative AI applications.
• Drive FinOps practices for AI workloads ensuring cost optimization budgeting and governance across multi-cloud environments while maintaining performance and scalability of AI solutions.

Your People Responsibilities:

• • Foster teamwork and lead by example nurturing a culture of continuous learning and innovation in AI technologies.
  • Mentor and coach engineers and data scientists to strengthen hands-on expertise in GenAI frameworks and architectural patterns.
  • Participate in organization-wide AI competency-building initiatives technical workshops and internal communities of practice.
  • Possess excellent communication and presentation skills comfortable representing the organization at client meetings tech conferences and leadership reviews.

Requirements (Qualifications):

Education:

• BE/BTech/MCA with 1218 years of experience including at least 35 years of AI/ML/GenAI architecture and delivery experience.

Mandatory Skills:

• Programming & Frameworks: Python (preferred) Java FastAPI/Flask LangChain LlamaIndex Semantic Kernel Haystack
• AI/ML Expertise: Experience with LLMs (GPT Claude Llama Mistral) fine-tuning prompt engineering embeddings vector search
• Architectural Experience: RAG design Model Context Protocol (MCP) multi-agent system design microservices integration
• Cloud AI Platforms: AWS Bedrock Azure OpenAI GCP Vertex AI
• Data & Storage: SQL/NoSQL (MySQL MongoDB) Vector Databases (Pinecone FAISS Weaviate) Redis
• MLOps & Deployment: Docker Kubernetes MLflow Kubeflow CI/CD pipelines monitoring (ELK/Splunk/Prometheus)
• Security & Compliance: OAuth/SAML data governance model safety and observability frameworks
• Version Control & Collaboration: Git/GitHub Jira Confluence

Preferred Skills:

• Experience with multi-modal AI (text image speech integration)
• Knowledge of transformer architecture internals quantization and fine-tuning optimization
• Familiarity with AI-driven software agents using LangGraph or CrewAI
• Exposure to BPM tools (Camunda) or workflow orchestration frameworks (Airflow Prefect)
• Experience in Agile/Scrum/SAFe methodologies
• Contributions to open-source AI projects or participation in AI research/innovation initiatives

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations Argentina China India the Philippines Poland and the UK and with teams from all EY service lines geographies and sectors playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants we offer a wide variety of fulfilling career opportunities that span all business GDS you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. Well introduce you to an ever-expanding ecosystem of people learning skills and insights that will stay with you throughout your career.

• Continuous learning: Youll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: Well provide the tools and flexibility so you can make a meaningful impact your way.
• Transformative leadership: Well give you the insights coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: Youll be embraced for who you are and empowered to use your voice to help others find theirs.