Sys. Integration Sr. Specialist Advisor

NTT DATA, Inc.

Dadri

On-site

INR 4,500,000 - 7,500,000

Full time

32 hours ago
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Job summary

NTT DATA, Inc. in Noida, Uttar Pradesh, India is seeking an AI Architect to lead the design, solutioning, and implementation of enterprise-scale AI and Agentic AI solutions.

You will drive architecture governance, client consultation, and cross‑functional collaboration to deliver scalable AI-powered outcomes. The role requires deep expertise in Agentic AI, Generative AI, ML, and cloud-native architecture, with the ability to engage with business leaders and CXOs to translate complex AI concepts

Qualifications

  • 12+ years of overall IT experience.
  • 3+ years designing and implementing enterprise AI/GenAI/Agentic AI solutions.
  • Experience working with global clients and enterprise stakeholders.
  • Demonstrated success in client-facing consulting or presales environments.

Responsibilities

  • Define AI strategy, architecture roadmaps, and implementation plans aligned with business objectives.
  • Design and architect enterprise-grade AI, GenAI, and Agentic AI solutions.
  • Lead architecture governance, workshops, and executive presentations.
  • Collaborate with Sales, Product, and Engineering on RFP responses and PoCs.
  • Guide cloud-native AI platforms and integration across enterprise ecosystems.

Skills

AI Architecture
GenAI
Agentic AI
Cloud Architecture
Client engagement
Leadership
Python

Education

Bachelor's in CS/EE

Tools

Python
Azure
AWS
GCP

Job description

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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Sys. Integration Sr. Specialist Advisor to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

AI Architect – Agentic AI & Enterprise Solutions
Role Overview

We are seeking a highly experienced AI Architect to lead the design, solutioning, and implementation of enterprise-scale AI and Agentic AI solutions. This role requires a strong blend of AI architecture, enterprise application design, client consulting, presales support, and technical leadership.

The ideal candidate will have deep expertise in Agentic AI, Generative AI, Machine Learning, Cloud Architecture, and Enterprise Solution Design, with proven experience engaging with business leaders, executives, and clients to identify opportunities, define AI strategies, and deliver scalable AI-powered solutions.

The AI Architect will serve as a trusted advisor to clients and internal stakeholders, driving AI innovation initiatives, solution architecture, proposal development, architecture governance, and successful delivery of AI transformation programs.

Key Responsibilities
AI Strategy & Solution Architecture

Define AI strategy, architecture roadmaps, and implementation plans aligned with business objectives.

Design and architect enterprise-grade AI, GenAI, and Agentic AI solutions.

LLMs
AI Agents
Multi-Agent Systems
Autonomous Workflows

Define end-to-end architecture across application, data, AI, integration, security, governance, and cloud platforms.

Establish AI governance, observability, security, compliance, and Responsible AI frameworks.

Create architecture blueprints, technical specifications, solution designs, and implementation roadmaps.

Agentic AI & Generative AI Leadership

Design and implement autonomous AI systems using Agentic AI frameworks and orchestration platforms.

Architect multi-agent collaboration models, planning and reasoning workflows, memory management, and tool integrations.

Lead adoption of modern AI frameworks including:

  • Semantic Kernel
  • LangGraph
  • LangChain
  • CrewAI
  • AutoGen

Drive AI innovation initiatives, proof-of-concepts, accelerators, and reusable frameworks.

Lead discovery workshops, solutioning sessions, architecture reviews, and executive presentations.

Collaborate with sales and account teams on:

  • RFP responses
  • Engage confidently with Directors, VPs, Business Leaders, and CXOs.
  • Translate complex AI concepts into business-focused outcomes and value propositions.
  • Support client demonstrations, PoCs, and AI adoption programs.
Enterprise Architecture & Engineering

Design cloud-native AI platforms and enterprise applications on Azure, AWS, or GCP.

Define integration strategies across enterprise platforms, APIs, SaaS products, and data ecosystems.

Architect scalable microservices, event-driven systems, and distributed applications.

Guide engineering teams on development standards, performance, scalability, and security best practices.

Support CI/CD, MLOps, LLMOps, deployment automation, and production readiness.

Delivery Leadership & Governance

Provide architecture governance and technical oversight for AI solution delivery.

Collaborate with Product Managers, Engineering Teams, Data Scientists, and Business Analysts throughout the solution lifecycle.

Ensure architecture compliance, scalability, reliability, and operational excellence.

Mentor architects, engineering leads, and development teams on AI best practices.

Drive successful transition from concept through production deployment and support.

Required Qualifications
Experience

12+ years of overall IT experience.

3+ years designing and implementing enterprise AI/GenAI/Agentic AI solutions.

Experience working with global clients and enterprise stakeholders.

Demonstrated success in client-facing consulting or presales environments.

AI & Agentic AI

Strong hands-on experience with:

  • Agentic AI Systems
  • Generative AI Solutions
  • Retrieval Augmented Generation (RAG)
  • Vector Databases and Embeddings
  • Prompt Engineering
  • AI Evaluation Frameworks
  • AI Copilots and Digital Assistants
  • Autonomous Workflow Automation
  • AI Agents and Tool Integrations
  • LLM Fine-Tuning and Model Optimization
Architecture & Cloud

Strong software engineering background with Python and modern development frameworks.

Expertise in enterprise application architecture and integration.

Experience with:

  • AWS
  • GCP

Strong knowledge of:

  • API-led Integration
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