NTT Data - Generative AI Architect - Data Modeling (10-14 yrs)

Job Description :

Role : GenAI Architect

Experience : 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen

AI Solutions as Presales Consultant/ Business Development Manager/ Solution Architect

Responsibilities :

- Solid experience in business growth / sales role in analytics AI/ML and Gen AI across multiple industries

- Experience and sound knowledge of Gen AI tools and LLMs available in the market

- Lead reactive and proactive conversations with Clients on Generative AI (specially LLMs),

Conversational AI & cloud AIaaS.

- Experience with Sales of AI solutions, AI Governance and Ethical AI

- Strong exposure to selling Data & AI solutions on Azure, AWS, and GCP platforms.

- Develop a Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions.

- Experience with large scale consulting and program execution engagements in AI and data.

- Excellent ability and skills to influence and communicate effectively with business partners up to the C-Suite.

- Ability to appreciate and work on 360-degree aspects around a data and insights life cycle across the business value chain.

- Deep technical skills with ability to find technical solutions to business problems and engage the potential customer with consultative selling is crucial.

- Excellent oral and written communication skills and executive presentation and persuasion

skills are required.

- Ability to interface at all levels of an organization.

- Consultative selling experience is a must.

- Ability to prepare Proficient PPTs for client presentations

- Knowledge of industry trends, customer challenges, potential opportunities in areas like AI/ML/Gen AI engineering and product teams across all functions from sales and trading to digital, operations, finance and risk etc. and every line of business of client.

- Our approach combines business knowledge with deep technical AI/ML expertise to build and deploy compatible, scalable solutions across the firm.

- The team has expertise in many Machine Learning areas including Natural Language Processing, Speech Recognition, Time Series and Reinforcement Learning.

- Manage and build COE with People, Process and Technology/Tools. Building new POCs

- Brining Best Practices and Applying Through in whatever we do and build for clients.

- Innovation is the key to excel in this role along with strong knowledge of AI M