Experience
10 - 15 yrs
Salary (CTC)
₹18L - ₹30L
Job Location
Noida, India
Vacancy
1
Designation
Artificial Intelligence Architect
Job Type
Not specified
Job Description
syed.m@anlage.co.in
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
===========
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 experience in software engineering, enterprise architecture, solution architecture, platform architecture, or senior technical leadership roles.
- Strong cumulative technical knowledge across AI/ML, LLMs, agentic systems, software engineering, cloud platforms, distributed systems, data architecture, APIs, DevOps, and security.
- Strong hands-on understanding of Python for AI engineering, automation, orchestration, and AI service development.
- Strong hands-on understanding of C#, .NET and enterprise backend application architecture.
- Strong SQL expertise and understanding of relational databases, data modeling, query optimization, and enterprise data access patterns.
- Proven experience designing enterprise-scale platforms or applications in complex, data-intensive environments.
- Experience architecting LLM-based applications, AI agents, RAG systems, workflow automation, and intelligent decision-support solutions.
- Experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, Google ADK, or similar frameworks.
- Strong understanding of MCP server architecture and how AI systems integrate with enterprise APIs, tools, repositories, and data platforms.
- Experience with cloud-native architecture on AWS, Azure, or Google Cloud.
- Strong knowledge of microservices, 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
syed.m@anlage.co.in
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