Job Description
Role Overview
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.
Job Responsibilities
- 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.
- Articulate compelling and differentiated value propositions aligned to client business imperatives.
- Partner with sales, delivery, practice, product, and senior leadership teams to develop deal strategy and solution approach.
- Advise clients on process optimization, intelligent automation, enterprise AI adoption, AI governance, and modernization strategy.
- Build and maintain relationships with senior client stakeholders, ecosystem partners, and internal leadership.
- Ensure solutions are secure, scalable, resilient, cost-effective, compliant, and aligned with enterprise architecture principles.
- Mentor teams and contribute to thought leadership around Agentic AI, cloud-native modernization, and digital product engineering .
Core Capabilities
- Solution Architecture & Product Development
- Agentic AI Strategy & Enterprise AI Adoption
- Digital Transformation & IT Strategy
- Process Optimization & Intelligent Automation
- Custom Application Architecture & Legacy Modernization
- Cloud Migration & Cloud-Native Engineering
- AI/ML, Generative AI, Advanced Analytics & Automation
- Pre-Sales, Deal Shaping & Solution Development
- Agile Methodologies & Team Leadership
- Client, Executive & Stakeholder Management
- Enterprise Architecture, Governance & Risk Management
Technical Skills
- 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 - Application Engineering & Architecture:
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.
Basic Qualifications
- 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.
Preferred Skills
- Bachelor’s degree or equivalent professional 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.
- Strong executive presence with ability to engage CXO-level stakeholders.
- Excellent oral and written communication skills, including storytelling, solution presentations, proposal development, and executive briefings.
- Strong leadership skills with ability to guide cross-functional teams across sales, architecture, delivery, engineering, and partner ecosystems.
- Strategic thinking, analytical problem-solving, attention to detail, professionalism, and ability to influence stakeholders.
- Experience driving deal shaping, origination, proposal development, estimation, solution governance, and executive-level client engagement.
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