AI Architect For NTT DATA For Noida/Gurgaon Only

Anlage Infotech; Dadri, Gurugram District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Anlage Infotech seeks an AI Architect for a long-term project on a hybrid model (4/5 days on client site) with noida/gurgaon locations. Immediate joiners preferred.

You will drive enterprise AI strategy, design large-scale AI systems, and collaborate with cross-functional teams to deliver high-impact solutions. Ideal candidates bring 12+ years in software/architecture roles, deep knowledge of AI, ML, data architecture, APIs, cloud platforms, and experience with LLM-based applications and

Qualifications

• 12+ years of experience in software engineering, enterprise architecture, solution architecture, platform architecture, or senior technical leadership roles.

Skills

AI/ML

LLMs

agentic systems

cloud platforms

distributed systems

data architecture

APIs

DevOps

security

Python for AI

automation

orchestration

AI service development

C#

.NET

SQL

enterprise data modeling

LLM-based applications

RAG systems

workflow automation

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Google ADK

MCP server architecture

AWS

Azure

Google Cloud

microservices

APIs integration

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Google ADK

Job description

[e-mail]

Permanent Payroll - Anlage Digital

Client - NTT DATA

Long term project

Notice period - Immediate joiners or 10 days joiners required

Do not share long Notice period profiles

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Description:

AI Architect

Primary locations : Noida / Gurgaon Only

Shift time : 12 - 9 PM

Hybrid 4/5 days WFO client site.

Required skills

• 12+ years of experiencein software engineering, enterprise architecture, solution architecture, platform architecture, or senior technical leadership roles.
• Strong cumulative technical knowledge acrossAI/ML, LLMs, agentic systems, software engineering, cloud platforms, distributed systems, data architecture, APIs, DevOps, and security.
• Strong hands-on understanding ofPython for AI engineering, automation, orchestration, and AI service development.
• Strong hands-on understanding ofC#, .NET and enterprise backend application architecture.
• Strong SQL expertiseand understanding ofrelational databases, data modeling, query optimization, and enterprise data access patterns.
• Proven experiencedesigning enterprise-scale platforms or applications in complex, data-intensive environments.
• Experiencearchitecting LLM-based applications, AI agents, RAG systems, workflow automation, and intelligent decision-support solutions.
• Experience withagentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Google ADK, or similar frameworks.
• Strong understanding ofMCP server architectureand how AI systems integrate with enterprise APIs, tools, repositories, and data platforms.
• Experience withcloud-native architecture on AWS, Azure, or Google Cloud.
• Strong knowledge ofmicroservices, APIs, event-driven architecture, containers, CI/CD, infrastructure-as-code, observability, and production operations.

Preferred skills:

• Experience in financial services, capital markets, ratings, risk analytics, commodities, fintech, or regulated enterprise environments.
• Experience with AWS services such as EC2, ECS, Lambda, RDS, API Gateway, SageMaker, Bedrock, CloudFormation, CDK, or comparable cloud services.
• Experience with vector databases such as OpenSearch, FAISS, Pinecone, or pgvector.
• Experience with AI governance, model lifecycle management, responsible AI, model risk controls, data privacy, and auditability.
• Experience supporting SaaS modernization, platform transformation, operating model transformation, or enterprise architecture governance.

Regards,

Syed

[e-mail]