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NTT America, Inc. seeks an AI Architect to design and deploy scalable AI-driven software across PAN India. You will build agentic AI systems, integrate GenAI models, and lead data platforms for real-time and batch processing.
You will collaborate with cross-functional teams, ensure data quality and security, and optimize system performance for enterprise-grade AI copilots and automation solutions.
Role: AI Architect
Location: PAN India
Immediate to 30 Days
Design, develop, and deploy scalable software solutions leveraging modern architectures and cloud platforms.
Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes.
Hands-on experience withGenAI (LLMs, RAG, embeddings, prompt engineering)
Experience withtraditional ML(classification, regression, NLP, time-series)
Develop and maintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems.
Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI, LangChain, Semantic Kernel, or similar frameworks.
Architect data platforms supporting real-time and batch processing using technologies like Spark, Databricks, or cloud-native services.
Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions .
Ensure data quality, governance, and security across all data workflows.
Optimize system performance, reliability, and scalability across AI and data components.
Strong experience in software development (Python 6+ yrs) .
Hands-on experience with Agentic AI / autonomous agents , including:
Multi-agent orchestration
Tool usage & reasoning workflows
Prompt engineering and memory management
2+ years experience withGenAI (LLMs, RAG, embeddings, prompt engineering)
Solid background in data engineering , including:
Data pipelines, ETL/ELT processes
Data modeling and warehousing
Streaming and batch processing
Experience with cloud platforms (Azure preferred) and services like:
Azure Data Factory / Synapse / Databricks
Azure OpenAI / Cognitive Services
Familiarity with vector databases, embeddings, and RAG architectures .
Strong understanding of API design, microservices, and distributed systems .
Degree:Bachelor's in computer science/IT or equivalent program (4 yrs)
Experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel).
Exposure to MLOps / LLMOps practices .
Experience building enterprise-grade AI copilots or automation solutions .
Knowledge of data governance and observability frameworks .
Ability to operate in a fast-paced, client-facing environment .
Strong problem-solving and ownership mindset.
Capability to anticipate project needs, especially during client demos and critical delivery windows .