AI Architect-Manager

Career Family

EY-DET-FS

Role Type

AI Architect

The opportunity

AI Architect,

AI-first enterprise architectures

guiding teams

Your Technical

• 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.
• Collaborate with cloud and DevOps teams to establish

  CI/CD pipelines for AI workloads

  , containerized via Docker/Kubernetes.
• 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.

Your Managerial

• • 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.

Your People

• • 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.

Education

• BE/BTech/MCA with 12-18 years of experience, including at least 3-5 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

• Continuous learning

  You ll develop the mindset and skills to navigate whatever comes next.

• Success as defined by you

  We ll provide the tools and flexibility, so you can make a meaningful impact, your way.

• Transformative leadership

  We ll give you the insights, coaching and confidence to be the leader the world needs.

• Diverse and inclusive culture

  You ll be embraced for who you are and empowered to use your voice to help others find theirs.