Tech S and T-AI -Architect-ISR-SeniorManager-GDSF02 in… - Jobeax
Vacancy description
Tech S and T-AI -Architect-ISR-SeniorManager-GDSF02 in Noida, India
EY
India, Noida
Tech S and T-AI -Architect-ISR-SeniorManager-GDSF02 in Noida, India is listed on Jobeax. Browse 30,000+ vacancies available.
Fri, 09/11/2026 - 00:42
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.
Job Description: AI Architect – Infrastructure & Cloud
Title : AI Architect
Level : Senior Manager
Experience : 16-18 years
Role Summary
We are looking for an AI Architect to sit at the intersection of Infrastructure and Artificial Intelligence — someone who can design, build, and operationalize AI/LLM/Agentic solutions that solve real infrastructure problems: capacity planning, incident response, observability, automation, cost optimization, and resiliency engineering. This is not a pure research role — it's an applied engineering + architecture role for someone who can code, ship, and integrate AI into production infra workflows.
Key Responsibilities
Architect and deliver AI/ML/LLM-based solutions embedded into infrastructure operations (ITOps/AIOps, self-healing systems, predictive capacity, automated RCA)
Design and build agentic AI workflows (multi-step, tool-using agents) for infra automation — ticketing, monitoring, remediation, provisioning
Evaluate, fine-tune, and integrate LLMs (open-source and commercial: OpenAI, Anthropic, Azure OpenAI, local/open models) into enterprise infra tooling
Build RAG pipelines, vector databases, and knowledge-grounding systems over infra documentation, runbooks, and CMDB data
Write production-grade code (Python primarily; scripting in Bash/PowerShell) — this role codes, doesn't just design PPTs
Integrate AI solutions with cloud platforms (Azure/AWS/GCP), ITSM tools (ServiceNow), observability stacks (Datadog, Splunk, Prometheus/Grafana), and CI/CD pipelines
Define and enforce AI governance guardrails — data privacy, model security, hallucination control, cost/token management
Partner with infra leadership to identify high-ROI AI use cases and build the roadmap
Mentor infra engineers on AI-adjacent skills; act as the internal AI Center of Excellence lead for the infra vertical
Own POC → pilot → production lifecycle for AI initiatives, including MLOps/LLMOps practices
Must-Have Skills
16–18 years in Infrastructure/Cloud engineering or architecture, with the last 5–6 years focused on applied AI/ML/LLM work
Practical experience building agentic AI systems (LangGraph, AutoGen, CrewAI, or custom orchestration) with tool-calling/function-calling
Experience with vector databases (Pinecone, Weaviate, FAISS, Azure AI Search, etc.)
Deep infra background: cloud architecture, networking, virtualization, ITSM, monitoring/observability, automation (Ansible/Terraform)
Experience with MLOps/LLMOps — model deployment, monitoring, versioning, cost governance
Strong architecture and solutioning skills — can whiteboard an end-to-end system and defend design tradeoffs
Good-to-Have
Certifications: AWS/Azure/GCP AI or Solutions Architect
Exposure to enterprise AI governance/responsible AI frameworks
Experience presenting to CXO/leadership on AI strategy and business cases
Prior experience in a Big 4 / GDS / large enterprise infra environment
Open-source contributions or published POCs in AI/agentic systems
Soft Skills
Ability to translate ambiguous infra pain points into AI-solvable use cases
Strong stakeholder management — bridges infra teams, data science teams, and business
Comfortable being hands-on (code/architecture) as well as strategic (roadmap, governance)
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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