Systems Integration Advisor

NTT DATA, Inc.; Indianapolis (IN); On-site; USD 150,000 - 210,000; Full time

Job summary

NTT DATA, Inc. seeks an AI Architect to design, build, and deploy scalable AI-enabled software solutions leveraging modern architectures and cloud platforms. You will develop agentic AI systems, integrate GenAI models, and build robust data pipelines across enterprise systems.

Responsibilities include collaborating with cross-functional teams for client demos, ensuring data governance and security, and optimizing performance and scalability of AI and data components.

Qualifications

• Strong experience in software development using Python.
• Hands-on with Agentic AI, autonomous agents, and orchestration.
• GenAI experience: LLMs, RAG, embeddings, prompt engineering.
• Data engineering pipelines, ETL/ELT, data modeling.
• Cloud platforms (Azure preferred) and services like Data Factory, Synapse, Databricks.
• Vector databases, embeddings, and RAG architectures.

Responsibilities

• Design, develop, and deploy scalable software solutions using modern architectures and cloud platforms.
• Build and implement Agentic AI systems to automate complex business processes.
• Hands-on GenAI and embeddings work.
• Develop and maintain data pipelines for structured and unstructured data across enterprise systems.
• Integrate AI models into applications using Azure OpenAI, LangChain, Semantic Kernel.
• Architect data platforms for real-time and batch processing with Spark/Databricks.
• Collaborate with cross-functional teams for client demos, POCs, production-ready solutions.
• Ensure data quality, governance, and security across data workflows.
• Optimize system performance, reliability, and scalability.

Skills

Python

Agentic AI

Agent orchestration

Prompt engineering

GenAI

Data engineering

Azure

RAG architectures

API design

Microservices

Distributed systems

Education

Bachelor's in CS/IT

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure OpenAI

Databricks

Job description

Role

AI Architect

Location

PAN IndiaImmediate to 30 Days

Key Responsibilities

• Design, develop, and deploy scalable software solutions leveragingmodern 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 with traditional 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 supportingreal-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.

Key Skills & Experience

• Strong experience in software development (Python6+ yrs).
• Hands-on experience with Agentic AI / autonomous agents, including:Multi-agent orchestrationTool usage & reasoning workflowsPrompt engineering and memory management2+years experiencewithGenAI (LLMs, RAG, embeddings, prompt engineering)Solid background in data engineering, including:Data pipelines, ETL/ELT processesData modeling and warehousingStreaming and batch processingExperience with cloud platforms (Azure preferred) and services like:Azure Data Factory / Synapse / DatabricksAzure OpenAI / Cognitive ServicesFamiliarity with vector databases, embeddings, and RAG architectures.
• Strong understanding of API design, microservices, and distributed systems.

Preferred Qualifications

• Degree:Bachelor'sin computer science/IT or equivalent program (4 yrs).
• Experience withGenAI frameworks (LangChain,LlamaIndex, Semantic Kernel).
• Exposure to MLOps/LLMOpspractices.
• Experience building enterprise-grade AI copilots or automation solutions.
• Knowledge of data governance and observability frameworks.

What We Expect

• Ability tooperatein a fast-paced, client-facing environment.
• Strong problem-solving and ownership mindset.
• Capability toanticipateproject needs, especially during client demos and critical delivery windows.