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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
EY GDS – Data and Analytics (D&A) – Nvidia Enterprise AI Senior (Enterprise AI)
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
About Global Delivery Services
Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda.
Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom.
Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service.
Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services.
Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation.
The opportunity
Join the Win Labs NVIDIA Tower to design and deliver agentic, enterprise grade AI systems—from LLM/VLM powered applications and RAG/GraphRAG knowledge systems to multi agent automations—on the NVIDIA AI Enterprise stack (Ne Mo, NIM, Triton, TensorRT) and hyperscale clouds. You’ll build secure, performant AI architectures that ship to production across industries, integrating with modern data platforms and lakehouses (Snowflake/Databricks).
Your key responsibilities
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Architect end to end solutions: data ingestion → retrieval (hybrid + rerank) → RAG/GraphRAG → orchestration → inference → observability; design for latency, cost, accuracy.
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Design multi agent systems (hierarchical/peer to peer/Re Act) with shared memory (short term state, vector DB, knowledge graph), tool use, planning, and guardrails.
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Productionize on NVIDIA AI Enterprise: package models as NIM microservices, optimize with Triton/TensorRT, track with LLMOps (evals, canary, drift).
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Implement Responsible AI: safety (hallucination mitigation, jailbreak detection), privacy/PII, bias testing, lineage/citations; align to NIST AI RMF / ISO 42001 where relevant.
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Integrate with enterprise platforms (M365/Copilot, CRM/ERP/ITSM), lakehouse (Snowflake/Databricks), and vector stores (pgvector, Pinecone, Milvus).
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Deliverables: reference architectures, security blueprints, Bill of Materials (SBOM), VEX, deployment runbooks, cost models/TCO.
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Mentor engineers (Python/Py Torch), enable squads on Lang Chain/Lang Graph, retrieval evaluation, and Agent Ops/LLMOps.
Skills and attributes for success
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Proven experience taking GenAI from POC → production at scale, with measurable KPI lift (precision, latency, cost/1K tokens). (Market benchmark: Accenture/Deloitte senior roles emphasize E2E platform and governance.)
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Deep stack fluency: Ne Mo, NIM, NVIDIA Triton, TensorRT; or equivalent cloud AI runtimes.
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RAG architectures (hybrid retrieval + cross encoder reranking), query transformation (multi query/HyDE), GraphRAG; vector DB selection & scaling.
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Security & governance for AI platforms (HITL, audit trails, content filtering, citations), multi region data residency.
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Strong stakeholder communication and solution storytelling; hands on mindset.
To qualify for the role, you must have
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B.Tech/M.Tech/MCA (CS/EE/Math) or equivalent
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5–8 years total with 3+ in enterprise AI/ML; shipped at least 2 production LLM solutions (RAG/agentic). (Peers: Wipro/HCL mid senior roles highlight similar thresholds.)
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Hands on Python, Py Torch, CUDA familiarity; containers (Docker), Kubernetes; CI/CD, IaC, telemetry.
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Cloud depth in Azure/AWS/GCP; exposure to Bedrock, Vertex, Azure AI.
Ideally, you’ll also have
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Knowledge graph/ontology modeling for DLMs; Snowflake/Databricks governance; RAG evaluation (RAGAS), prompt security.
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Familiarity with NVIDIA Blueprints and Nemotron reasoning models (e.g., Nemotron Super) for agentic workloads.
What we look for
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A Team of people with technical consulting and architecting experience and enthusiasm to learn new things in this fast-moving environment
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A leader with technical consulting and architecting experience, passionate about innovation in 3D and Metaverse technologies.
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An opportunity to be part of a market-leading, multi-disciplinary team, shaping the future of digital collaboration.
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Enthusiasm for learning new technologies and driving change in a fast-moving environment.
What working at EY offers
At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:
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Support, coaching and feedback from some of the most engaging colleagues around
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Opportunities to develop new skills and progress your career
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The freedom and flexibility to handle your role in a way that’s right for you
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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EY 소개

EY
PublicEY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.
10,001+
직원 수
London
본사 위치
리뷰
3.4
10개 리뷰
워라밸
2.3
보상
3.7
문화
4.1
커리어
3.8
경영진
3.2
65%
친구에게 추천
장점
Good learning opportunities and career advancement
Supportive culture and kind people
Professional environment and good benefits
단점
Long working hours and poor work-life balance
Hectic and taxing work environment
Limited support for interns and technical growth
연봉 정보
31,254개 데이터
Mid/L4
Mid/L4 · Operations Research Analyst
1,738개 리포트
$142,571
총 연봉
기본급
$136,899
주식
-
보너스
$5,673
$100,128
$203,912
면접 경험
7개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
57%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Case Interview
5
Partner/Director Interview
6
Offer
자주 나오는 질문
Behavioral/STAR
Case Study
Technical Knowledge
Past Experience
Culture Fit
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