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Industry Consulting Manager

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NTT DATA

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking a highly experienced and hands-on AI Architect to lead enterprise AI initiatives from strategy and architecture through implementation and deployment. The ideal candidate will drive the end-to-end design and build of scalable AI/ML systems, establish enterprise AI standards, and work closely with business, engineering, data, and cloud teams to deliver production-grade AI solutions. This role requires a strong combination of strategic leadership, technical depth, and execution capability across modern AI ecosystems including Generative AI, Machine Learning, Data Engineering, Cloud Platforms, MLOps, and Enterprise Integration.

Job Responsibility:

  • Define and lead enterprise AI architecture strategy aligned with business objectives
  • Design scalable, secure, and high-performance AI/ML platforms and solutions
  • Architect end-to-end AI ecosystems including data ingestion, model training, deployment, monitoring, and governance
  • Evaluate emerging AI technologies, frameworks, and platforms for enterprise adoption
  • Establish AI reference architectures, design standards, and best practices
  • Lead hands-on solution architecture and technical implementation of AI initiatives
  • Design and develop enterprise-grade AI/ML and Generative AI applications
  • Collaborate with engineering teams to build scalable APIs, microservices, and AI-enabled platforms
  • Drive integration of AI solutions with enterprise systems, cloud infrastructure, and data platforms
  • Ensure scalability, reliability, security, and compliance of AI systems
  • Partner with business leaders, product teams, and executives to identify AI opportunities
  • Lead cross-functional technical teams including data scientists, ML engineers, software developers, and cloud architects
  • Mentor engineering and architecture teams on AI architecture patterns and implementation approaches
  • Provide technical governance and architectural oversight across AI programs
  • Establish MLOps/LLMOps practices for continuous integration, deployment, monitoring, and retraining
  • Define responsible AI frameworks including model governance, explainability, fairness, and security
  • Drive AI platform optimization, performance tuning, and operational excellence
  • Ensure adherence to enterprise security, privacy, and regulatory standards

Requirements:

  • 20–25 years of overall IT experience, with significant expertise in Artificial Intelligence, Enterprise Architecture, Data Platforms, and Solution Engineering
  • Deep expertise in AI/ML architecture, Generative AI, NLP, and Large Language Models (LLMs)
  • Strong experience with AI frameworks such as TensorFlow, PyTorch, LangChain, Hugging Face, or similar
  • Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Strong understanding of data engineering, big data technologies, and distributed systems
  • Experience with vector databases, RAG architectures, AI agents, and prompt engineering
  • Expertise in MLOps/LLMOps tools and CI/CD pipelines
  • Strong programming skills in Python, Java, or Scala
  • Experience with Kubernetes, Docker, APIs, and microservices architecture
  • Knowledge of enterprise integration patterns and security architecture
  • Proven ability to lead large-scale enterprise transformation programs
  • Strong stakeholder communication and executive presentation skills
  • Experience managing architecture governance and technical decision-making
  • Ability to translate business problems into scalable AI solutions
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related field
  • 20–25 years of IT industry experience with significant exposure to enterprise architecture and AI transformation
  • Proven track record of delivering large-scale AI/ML implementations in enterprise environments

Nice to have:

  • Experience in Generative AI and enterprise LLM implementations
  • Exposure to AI governance, responsible AI, and regulatory compliance frameworks
  • Experience across industries such as Banking, Healthcare, Retail, Manufacturing, or Telecom
  • Familiarity with Agile, DevOps, and product-led delivery models
  • Certifications in Cloud, AI, or Enterprise Architecture

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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