NTT DATA Americas is looking for a Digital Pre-Sales Technical Architect / AI Solutions Architect to help expand our presence in the North American market. This role will drive growth across Custom Applications, Agentic AI, Process Optimization, Cloud Modernization, Intelligent Automation, and Digital Transformation offerings.
The Senior Advisor will provide solution architecture leadership, pre-sales expertise, and subject matter expertise in enterprise AI adoption, agentic systems, application modernization, and cloud-native platforms. This role will help shape strategic opportunities, develop differentiated offerings, and align technology solutions to client business priorities.
The successful candidate will combine strong technical depth, executive presence, consultative selling experience, and the ability to create compelling client value propositions through storytelling, solution design, and business outcome alignment.
Lead pre-sales solution architecture for large and complex digital transformation opportunities.
Shape and originate deals across Custom Application Development, Agentic AI, AI/ML, Automation, Cloud Migration, and Legacy Modernization.
Design scalable AI-enabled enterprise architectures using LLMs, agentic frameworks, cloud AI platforms, automation tools, data platforms, and modern application engineering practices.
Develop solution blueprints, proposals, estimates, transformation roadmaps, reference architectures, and go-to-market assets.
Advise clients on process optimization, intelligent automation, enterprise AI adoption, AI governance, and modernization strategy.
Mentor teams and contribute to thought leadership around Agentic AI, cloud-native modernization, and digital product engineering .

Agentic AI Strategy & Enterprise AI Adoption
Digital Transformation & IT Strategy
Cloud Migration & Cloud-Native Engineering
AI/ML, Generative AI, Advanced Analytics & Automation
Agile Methodologies & Team Leadership
Enterprise Architecture, Governance & Risk Management

Agentic AI & Generative AI: LangGraph,



AutoGen, CrewAI, BeeAI, Google ADK, OpenAI Agents SDK, Model Context Protocol, Agent-to-Agent patterns, LangChain, LlamaIndex, Semantic Kernel, Hugging Face, NVIDIA NeMo Guardrails, prompt engineering, RAG, GraphRAG, LLM evaluation, agent orchestration, tool/function calling, memory, planning, guardrails, and human-in-the-loop workflows.
AI Models, Platforms & APIs: AWS Bedrock, Bedrock Agents, Knowledge Bases, Amazon Q, SageMaker, Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Google Vertex AI, Model Garden, Agent Builder, Agent Space, OpenAI GPT models, Anthropic Claude series, Meta Llama series, Mistral models, DeepSeek models, open-source LLMs and SLMs.
AI Engineering, Search & Data Retrieval: vLLM, DeepSpeed, NVIDIA Triton, model serving, inference optimization, SerpAPI, Serper, ScrapeGraphAI, Crawl4AI, Milvus, FAISS, ChromaDB, Pinecone, Weaviate, Neo4j, GraphDB, vector search, hybrid search, enterprise search, and knowledge graph integration.
Cloud Platforms & Services: AWS EC2, S3, EKS, Lambda, RDS, Redshift, Glue, Athena, CloudWatch, IAM, API Gateway Azure Synapse, Data Factory, ADLS, Event Hub, AKS, Functions, Key Vault GCP Cloud SQL, Spanner, Cloud Storage, BigQuery, GKE, Cloud Run, Pub/Sub, Dataflow, Vertex AI experience with DigitalOcean, Heroku, containers, Kubernetes, and managed cloud services
Python, JavaScript, TypeScript, Java, Node.js, React, Redux, Django, FastAPI, Django REST Framework, GraphQL, REST APIs, microservices, API-led integration, event-driven architecture, serverless architecture, Docker, Kubernetes, CI/CD, DevSecOps, observability, logging, monitoring, and automated testing.




Data Engineering, Databases & Platforms: Apache Airflow, Apache NiFi, Apache Beam, Airbyte, MLflow, batch and streaming pipelines, data lake/lakehouse patterns, MongoDB, PostgreSQL, MySQL, Redis, Elasticsearch/OpenSearch, Oracle EBS, SAP R/3, SAP S/4HANA integration, Magento, WordPress, Drupal, and enterprise CMS/commerce platforms.
Architecture, Security & Methodologies: End-to-end system design, enterprise architecture, integration architecture, security architecture, IAM, responsible AI, AI governance, model risk management, data privacy, compliance, cost optimization, resiliency engineering, Agile, Scrum, Kanban, SAFe, DevOps, DevSecOps, design thinking, product engineering, and process mining.
8+ years of experience in consulting, IT services, digital transformation, or technology sales.

- 8+ years of experience negotiating, shaping, and closing large professional services deals.
- Minimum 5 years of experience in Custom Application Development, Application Architecture, Cloud Migration, Legacy Modernization, or Enterprise Architecture.
- Experience designing or delivering AI/ML, Generative AI, Agentic AI, automation, advanced analytics, or cloud-native solutions.
- 10+ years of cross-industry experience with strong understanding of technology, operations, and enterprise transformation landscapes.
- Demonstrated experience engaging senior business and technology stakeholders in Fortune 500 organizations.

Bachelor's degree or equivalent qualified experience advanced degree preferred.
Strong understanding of AI architecture, agentic systems, LLMOps, cloud platforms, application modernization, and enterprise architecture.
Proven experience leading large, complex, strategic sales opportunities.
Ability to translate business challenges into scalable, secure, value-driven technology solutions.
Experience driving deal shaping, origination, proposal development, estimation, solution governance, and executive-level client engagement.

📌 Digital Experience Planning Lead (Bengaluru)
🏢 NTT Data
📍 Bengaluru