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Senior Principal AI Architect

4 months ago

Hyderabad, Telangana, India NTT Full time

NTT is a leading global IT solutions and services organisation that brings together people, data and things to create a better and more sustainable future.

In today's 'iNTTerconnected' world, connections matter more now than ever. By bringing together talented people, world-class technology partners and emerging innovators, we help our clients solve some of the world's most significant technological, business and societal challenges.

With people at the heart of our success, NTT is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters.

Your career here is about believing in yourself, and taking on great opportunities and new challenges.It's about growing your skills and expertise in your current role and preparing yourself for the future. That's why we encourage you to take every opportunity to grow your career within our great global team.

Are you ready to take the next step in your career?

We are seeking a highly skilled and innovative Solution Architect – Generative AI and Cloud to join our team and lead the design and development of advanced AI solutions. The ideal candidate will drive our offerings in the Gen AI space, have a good understanding of LLMs, various AI technologies, including ML, deep learning, natural language processing, and reinforcement learning. They will be responsible for defining the architecture, frameworks, and methodologies for building scalable and efficient AI systems. The Gen AI Architect will collaborate with cross-functional teams to drive innovation and solve complex business challenges using AI.

What you'll be doing

Key Responsibilities:

  • Design, develop, and implement AI/ML solutions using AWS, GCP, Microsoft Azure Cloud platforms. Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
  • Architect and build cost-efficient, scalable Modern Data Platform architecture, including Data Lake, DWH (Data Warehouse), AI/ML, Domain-driven Data Stores, and Data Services in the cloud.
  • Facilitate design and architecture workshops, drive outcomes, and mentor AI engineers in coding best practices and problem-solving.
  • Architect AI solutions and manage the delivery of highly technical analytics use cases.
  • Lead the design, build, and implementation of AI/Deep Learning & GenAI solutions.
  • Convey complex technical concepts to non-technical stakeholders and possess excellent customer-facing skills.
  • Analyze and assess data quality, availability, and relevance for AI model training.
  • Collaborate with data engineers to ensure data pipelines are in place for AI projects.
  • Collaborate with clients and stakeholders to understand their business objectives and challenges.
  • Identify opportunities where generative AI can provide value and solve business problems.
  • Act as a liaison between technical teams and non-technical stakeholders, translating technical concepts into business terms.
  • Provide regular updates and reports on project progress to clients and management.
  • Lead the design and development of AI-driven solutions from conception to deployment.
  • Responsible for POCs and POVs across horizontal and industry use cases
  • Define the overall AI architecture, including models, algorithms, data pipelines, and infrastructure.
  • Research and evaluate state-of-the-art AI technologies and methodologies to drive innovation.
  • Collaborate with data scientists, engineers, and product managers to identify AI opportunities and requirements.
  • Develop scalable and efficient algorithms for machine learning, deep learning, and other AI applications.
  • Design and implement data pipelines for collecting, processing, and analyzing large volumes of data.
  • Optimize AI models for performance, scalability, and reliability.
  • Ensure compliance with data privacy and security regulations in AI solutions.
  • Provide technical leadership and mentorship to junior team members.
  • Stay updated on the latest advancements in AI research and technology trends.

Preferred Skills:

  • Knowledge of big data technologies such as Hadoop, Spark, and Kafka.
  • Experience in designing and deploying AI solutions in production environments.
  • Experience with Graph Databases like Neo4j, and their role in AI/ML solutions.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with DevOps practices and tools.
  • Conversant with technical stacks used to support Generative AI use cases.

Skills Summary

Cloud Platform, Data Architecture Principles, Database Technologies, Data Integration, Data Modeling, Data Warehousing (DW), Programming Languages, Software Development Life Cycle (SDLC)

What will make you a good fit for the role?

Workplace type:

Hybrid Working

Join our growing global team and accelerate your career with us. Apply today.

A career at NTT means:

  • Being part of a global pioneer – where you gain exposure to our Fortune 500 clients and world-leading global technology partners and work with a network of over 40,000 smart and diverse colleagues across 57 countries, delivering services in over 200 countries.
  • Being at the forefront of cutting-edge technology – backed with a 150-year heritage of using technology for good. With 40% of the world's internet traffic running on our network and where Emoji were first invented, you can be proud of the group's many new 'firsts'.
  • Making a difference – by doing meaningful work that helps to shape the future for our clients, and across industries and communities around the world.
  • Being your best self – in a progressive 'Connected Working' environment that promotes flexibility, connection and wellbeing. Where diversity and different perspectives are embraced to ensure equal opportunities for all.
  • Having ongoing opportunities to own and develop your career – with a personal and professional development plan and access to the broadest learning offerings in the industry.