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Digital Solution Architect Lead Advisor

Full-time

NTT DATA Services

Role Description

As an Application Services Modernization Advisory Director, you will work closely with client stakeholders to deeply understand their unique business drivers, challenges, and strategic goals to shape and deliver innovative solutions for clients seeking to modernize legacy systems, migrate to cloud-native platforms, and transform their application portfolios. By aligning our modernization strategies with the core business needs of our clients, you will ensure that our solutions not only address technical requirements but also deliver measurable business value, support organizational transformation, and fulfill their modernization objectives. Your business acumen and ability to connect technology initiatives to business outcomes will be critical to helping clients realize the full potential of their modernization investments and help differentiate NTT DATA in the market.

Why the Role Is Important

  • Bridge the gap between technology architecture and business strategy, ensuring client investments deliver value.
  • Enable clients to reduce technical debt, increase agility, and accelerate their modernization journeys.
  • Influence major deals from advisory through solution design and implementation.
  • Drive our growth by architecting solutions that set us apart and strengthen long-term client partnerships.

Once You Are Here, You Will Support:

  • GTM Strategy & Enablement:
    • Collaborate with sales, marketing, and industry teams to shape and differentiate application rationalization offerings.
    • Create thought leadership, reusable assets, POVs, and whitepapers to drive market engagement.
    • Partner with alliances (e.g., Microsoft, SAP, AWS) to develop joint GTM strategies around app modernization.
  • Client Advisory & Pre-sales Engagement:
    • Lead early-stage client conversations focused on app portfolio modernization, technical debt reduction, and target architecture alignment.
    • Run application assessments, current-state evaluations, and readiness checks as part of RFPs or direct engagements.
    • Present technical and business cases for rationalization—including ROI, TCO, cloud fitment, and modernization pathways.
  • Architecture & Delivery Support:
    • Define future-state application architecture strategies aligned with business outcomes and platform roadmaps.
    • Guide clients through build-vs-buy, consolidation, containerization, and modernization decisions.
    • Interface with delivery teams to ensure seamless handoff and architectural integrity post-deal.

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.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 10+ years of IT experience, including at least 5 years in enterprise architecture and application modernization.
  • Minimum of 5 years’ experience in custom application development, application architecture, cloud migration, and legacy modernization.
  • Experience with presales, RFP responses, and working alongside sales or go-to-market teams in consulting or SI environments.
  • Past experience negotiating, shaping, and closing large professional services deals.
  • Past experience with application rationalization, cloud-native design, and legacy transformation strategies.
  • Willingness and ability to travel up to 50% across North America.

Preferred Skills

  • Proven success leading large, complex, strategic sales opportunities and client engagements.
  • Experience engaging and building relationships with senior leadership at Fortune 500 organizations.
  • Familiarity with enterprise architecture frameworks (TOGAF, Zachman, etc.).
  • Deep knowledge of cloud platforms (AWS, Azure, GCP).
  • Business case modeling (TCO, ROI), strong analytical and problem-solving abilities.
  • Experience with Agile & DevOps methodologies.
  • Certifications: TOGAF, AWS/Azure Architect, ITIL, SAFe/Agile Coach, or relevant cloud certifications.

Ideal Mindset

  • Strategic thinker who connects technology to business outcomes.
  • Client-centric, passionate about delivering value and building lasting relationships.
  • Proactive innovator who embraces continuous improvement and new ideas.
  • Collaborative, adaptable, and committed to continuous learning and professional growth.
  • Strong communicator with the ability to influence stakeholders at all levels.
  • Adaptable and resilient in a fast-paced, ever-changing environment.
  • High integrity, professionalism, and attention to detail.
Vacancy posted 4 days ago
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