Digital Solution Architect Lead Advisor

We are seeking an experienced solution architect specializing in GenAI and AI based solutions to join our dynamic Digital BPS team at NTT DATA. As an SME (subject matter expert), you will closely work with NTT DATA’s customers to understand their business problems and engage with them to provide consulting and solutioning for solving their business problems using GenAI / AI and related technologies. Design and implement effective AI solution architecture or strategy, utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with company's strategies, business goals, and key ethical considerations. Your engagement with the customer should give the customer confidence that NTT DATA is the right business and technology partner for them in the field of GenAI / AI.

Basic Qualifications:

• 5+Experience in solution architecture with an emphasis on business process services
• 3+ years of experience within data architecture, solutions architecture, software or cloud engineering, or machine learning engineering
• Experience with creating and communicating new and alternative technical solutions for clients in both oral and written format

Responsibilities

• Be an architectural SME to GenAI / AI teams
• Provide solution and technology consulting and drive opportunities for leveraging GenAI, AI based solutions on various platforms
• Drive close discussions with client and draw technical and functional requirements through workshops with stakeholders
• Work closely with business analyst / other stake holders, convert business requirements into technical solutions
• Develop Point of Views that provide details of scope, due-diligence, approach and business/cost benefit.
• Drive and execute proof of concepts for solving specific business problems
• Utilize the latest tools and techniques in data science, staying abreast of technological advancements to solve unique problems of NTT DATA’s customers.
• Collaborate with NTT DATA business and engineering stakeholders

Qualifications

• Bachelors / Masters / PhD degree in Computer Science or related field
• Certification or Degree with AI and machine learning or data transformation pipelines

Skills

• Proficiency in developing applications leveraging Generative AI and Large Language Models (LLM) using frameworks such as Langchain and Llama-Index.
• Experience in constructing conversation agents through Large Language Models (LLM) and RAG-based applications, coupled with a deep understanding of LLM agentic frameworks.
• Leverage Natural Language Processing (NLP) skills to extract meaningful information from textual data, employing techniques such as text mining, Named Entity Recognition (NER), and sentiment analysis.
• Familiarity with cloud platforms such as AWS, GCP, and Azure, and the ability to develop solutions within these environments, is considered an added advantage.
• A solid grasp of MLOps concepts and the ability to navigate through MLOps lifecycles are additional skills.
• Excellent communication and articulation in English language
• Excellent problem-solving and analytical skills.
• Enthusiasm for AI/ML technologies and a proactive attitude towards learning and staying updated.