Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Solutions Architect Cloud AI @ NTT DATA, Inc.

Home > Software Development

 Solutions Architect Cloud AI

Job Description

Your day at NTT DATA

We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions.

What you'll be doing

Key Roles and Responsibilities:
Solution Architecture & Technical Leadership
  • Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models
  • Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities
  • Recommend appropriate cloud AI solutions based on specific business outcomes and use cases
  • Size cloud infrastructure requirements and optimize cost models for AI workloads
  • Design scalable and secure Private AI architectures
  • Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities
  • Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches
Business Development
  • Size and qualify opportunities in the Cloud AI space
  • Develop compelling proposals and solution presentations for cloud-based AI implementations
  • Build and nurture client relationships at technical and executive levels
  • Collaborate with sales teams to create competitive go-to-market strategies
  • Identify new business opportunities through technical consultation on cloud AI solutions
Project & Delivery Leadership
  • Work with delivery teams to develop end-to-end solution approaches and accurate costing
  • Lead technical discovery sessions with clients
  • Guide implementation teams during solution delivery
  • Ensure technical solutions meet client requirements and business outcomes
  • Develop reusable solution components and frameworks to accelerate delivery
AI Agent Development
  • Architect multi-agent systems that leverage cloud platform capabilities
  • Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms
  • Design cloud-native agent solutions that integrate with existing enterprise systems
  • Implement agent-based solutions using Cloud tools and services
Knowledge, Skills, and Attributes:
Basic Qualifications:
  • 8+ years of experience in solution architecture or technical consulting roles
  • 3+ years of specialized experience working with LLMs and Private AI solutions
  • Demonstrated expertise with AWS or Azure or GCP AI/ML services
  • Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads
  • Proven experience converting business requirements into technical specifications
  • Experience working with delivery teams to create end-to-end solutions with accurate costing
  • Strong understanding of agentic AI systems and orchestration frameworks
  • Bachelors degree in computer science, AI, or related field
  • Ability to travel up to 25%
Preferred Qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • Cloud certifications such as:

AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty

Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate

GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer

  • Experience with autonomous agent development using cloud-based AI services
  • Experience with deploying and fine-tuning LLMs on cloud platforms
  • Hands-on experience with prompt engineering and LLM optimization techniques
  • Understanding of AI governance, security, and compliance requirements
  • Prior experience in business development or pre-sales for AI solutions
  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
  • Strong problem-solving abilities and analytical mindset.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Solution Architect
Employement Type: Full time

Contact Details:

Company: NTT DATA, Inc.
Location(s): Chennai

+ View Contactajax loader


Keyskills:   Solutions Architecture Azure GCP Artificial Intelligence cloud infrastructure Technical Leadership AWS Machine Learning

 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Application Developer-Cloud FullStack

  • IBM
  • 3 - 5 years
  • Pune
  • 6 hours ago
₹ Not Disclosed

Aircraft || 4 To 6 Years || Bangalore

  • Capgemini
  • 5 - 6 years
  • Bengaluru
  • 8 hours ago
₹ Not Disclosed

Cloud Lead

  • Cognizant
  • 14 - 16 years
  • Chennai
  • 9 hours ago
₹ Not Disclosed

Application Architect-Asset Management

  • IBM
  • 4 - 8 years
  • Pune
  • 11 hours ago
₹ Not Disclosed

NTT DATA, Inc.

Company DetailsNTT DATA, Inc.