AI Office Lead

NTT DATA, Europe & LATAM, Branch in USA, Inc.Washington, DC
Onsite

About The Position

NTT DATA is a global team of over 139,000 diverse professionals operating in more than 50 countries. We specialize in offering technological solutions, business strategies, development, and application maintenance, aiming to be a benchmark in consulting. Our mission is driven by innovation, human quality, and a commitment to breaking paradigms to provide solutions that meet client needs. We are recognized as one of the top six technology companies worldwide, seeking high-achieving team players who adapt quickly to new challenges. We are looking for a Senior AI Solutions Architect to work with our global client in Washington, D.C., requiring an onsite presence. The focus is on AI Platform Architecture, Orchestration & Enterprise Integration, with an experience level of Senior (7+ years).

Requirements

  • Proven experience as a senior architect or technical lead within AI, data, or digital platforms.
  • Experience working in large, federated, or matrixed organizations, including public sector, healthcare, or international institutions.
  • Strong background operating in environments with governance, compliance, interoperability, and cross-domain integration requirements.
  • Strong experience with AI orchestration frameworks and multi-agent systems.
  • Hands-on knowledge of agent frameworks (e.g., LangChain, LangGraph, MCP-style architectures).
  • Experience designing RAG-based systems, vector search, grounding, and tool invocation strategies.
  • Experience architecting ML, deep learning, and Generative AI solutions in enterprise settings.
  • Strong proficiency with Python-based AI frameworks (e.g., PyTorch, TensorFlow).
  • Understanding of model lifecycle management and production deployment considerations.
  • Experience designing enterprise data architectures that support AI workloads (data lakes, lakehouse patterns).
  • Knowledge of data integration, APIs, event-driven architectures, and streaming pipelines.
  • Familiarity with data quality, lineage, metadata, and governance requirements.
  • Strong experience architecting AI solutions on cloud platforms, particularly Azure-based AI and data services.
  • Experience with containerization and cloud-native deployment patterns.
  • Familiarity with infrastructure-as-code and secure cloud design principles.
  • Understanding of MLOps and CI/CD patterns for AI systems.
  • Experience setting up monitoring, evaluation, and feedback loops for models and agent systems.
  • Ability to assess operational readiness, cost, and performance of AI solutions.

Nice To Haves

  • Scrum Master or equivalent Agile certification
  • Executive-level training in AI Strategy
  • NIST AI Risk Management Framework (AI RMF) training
  • Microsoft Azure AI Engineer Associate
  • Microsoft Azure Solutions Architect Expert
  • Microsoft Copilot and Agent Administration Fundamentals

Responsibilities

  • Serve as the senior solutions architect for AI platforms, orchestration frameworks, and agent-based systems.
  • Define and evolve enterprise AI architecture standards covering data ingestion and integration, model and agent orchestration, and deployment, runtime, and integration patterns.
  • Assess and rationalize existing applications, data assets, and platforms to identify AI enablement opportunities and technical debt.
  • Design and evaluate AI orchestration frameworks, including multi-agent and tool-based architectures.
  • Lead architecture decisions for agent-based systems, including interaction models, control flows, guardrails, and observability.
  • Define enterprise integration patterns between AI systems and core business applications, APIs, data platforms, and workflows.
  • Lead and oversee proof-of-concept development to validate architectural approaches, tools, and platforms.
  • Conduct structured technology evaluations and comparisons to inform build vs. buy and platform selection decisions.
  • Translate PoC outcomes into clear architectural recommendations and roadmaps for production deployment.
  • Provide architectural oversight to ensure alignment between AI solutions and governance, security, Responsible AI, and data policies.
  • Review solution designs for compliance with architectural standards, operational readiness, and scalability.
  • Act as a technical escalation point for complex integration, performance, and design challenges.
  • Partner closely with engineering teams, product owners, security, and governance stakeholders to guide solution design.
  • Mentor architects and senior engineers on AI architecture patterns, agent design, and orchestration best practices.
  • Communicate architectural concepts and tradeoffs clearly to both technical and non-technical stakeholders.

Benefits

  • Empowerment and rewards are the cornerstone of our career development model.
  • Professional experience and growth will be unmatched.
  • NTT Data is committed to hiring and retaining a diverse workforce.
  • We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
  • NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.
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