SCT_Tech Enablement_AI Architect_Manager
Ernst and Young20 hours ago
Noida, IndiaStaff+
Responsibilities
- Collaborate with business stakeholders, product owners, and technical teams to identify AI opportunities and translate requirements into scalable solution architectures.
- Design enterprise AI applications using LLMs, RAG, agentic AI, knowledge graphs, GraphRAG, and multimodal AI patterns.
- Define model selection, retrieval strategies, orchestration frameworks, deployment models, integration patterns, prompting, context engineering, tool calling, workflow orchestration, and memory strategies.
- Architect hybrid retrieval solutions using vector, semantic, graph, SQL-based, and vectorless retrieval approaches.
- Design MCP-based integrations with enterprise applications, APIs, databases, and business systems.
- Establish standards for AI observability, evaluation, LLMOps, monitoring, governance, performance optimization, and cost management.
- Define AI security architectures addressing prompt injection, data leakage, unauthorized tool access, jailbreaks, and other AI-specific threats.
- Ensure compliance with Responsible AI principles, privacy regulations, governance requirements, and security standards.
- Conduct architecture reviews, technical assessments, proof-of-concepts, and production-readiness evaluations.
- Drive AI adoption through workshops, technical leadership, stakeholder engagement, reusable frameworks, and reference architectures.
- Mentor AI engineers, architects, and developers and stay current with emerging AI technologies and industry trends.
Requirements
- 12+ years of experience in software engineering, cloud architecture, data engineering, enterprise architecture, or related technology domains.
- Strong experience designing and implementing enterprise AI, generative AI, and intelligent automation solutions.
- Hands-on experience with LLMs, prompt engineering, context engineering, RAG, embeddings, reranking, and vector databases.
- Strong knowledge of AI agent architectures, multi-agent systems, tool calling, memory strategies, and human-in-the-loop workflows.
- Proficiency in Python, API development, microservices architecture, and distributed systems.
- Experience with Microsoft Azure, AWS, or Google Cloud Platform and their AI services.
- Strong understanding of databases, data platforms, event-driven architectures, and enterprise integration patterns.
- Practical experience with MCP, REST APIs, JSON-RPC, OAuth, and secure integration frameworks.
- Knowledge of AI evaluation frameworks, tracing, monitoring, observability, LLMOps, and AI cost optimization.
- Understanding of model fine-tuning, LoRA/QLoRA, model routing, quantization, and inference optimization.
- Experience with multimodal AI, knowledge graphs, GraphRAG, SQL agents, and advanced retrieval architectures.
- Excellent communication, stakeholder management, architecture documentation, leadership, analytical, and problem-solving skills.
- Preferred experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, or equivalent orchestration platforms.
- Preferred experience with OpenAI, Anthropic, Google Gemini, Azure AI, AWS Bedrock, Hugging Face, or similar AI ecosystems.
- Preferred familiarity with Pinecone, Qdrant, Weaviate, Milvus, pgvector, Elasticsearch, OpenSearch, or Neo4j.
- Preferred experience with Docker, Kubernetes, MLflow, vLLM, Langfuse, Ragas, DeepEval, and AI platform engineering practices.
- Preferred understanding of NIST AI RMF, OWASP GenAI Security, ISO/IEC 42001, and cloud security best practices.
- Preferred experience leading enterprise AI transformation initiatives, Centers of Excellence, AI capability-building programs, MLOps, DataOps, enterprise deployment strategies, and executive stakeholder engagements.
Benefits
- Flexible work environment with opportunities for professional development, mentorship, learning, and leadership growth.
- Health and wellness packages, rewards, and learning opportunities are offered.
- EY provides a diverse, inclusive, and globally connected workplace with disability-related accommodations available during recruitment.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.