Senior AI Solutions Architect

Senior AI Solutions Architect

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a Senior AI Solutions Architect to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Location: Washington D.C. onsite is highly preferred BUT open to candidates from Peru, Mexico, Brazil, or Chile who can work in the DC time zone**

Focus: AI Platform Architecture, Orchestration & Enterprise Integration Experience Level: Senior (7+ years)

Role Overview

The Senior AI Solutions Architect is a senior technical authority responsible for designing, assessing, and shaping the organization's AI platform landscape. This role focuses on AI orchestration frameworks, multi-agent systems, enterprise integration, and solution architecture, while providing architectural governance and technical leadership for AI initiatives across the organization.

The role is hands-on and architecture-led, with a strong emphasis on application rationalization, technology assessment, and proof-of-concept (PoC) execution to inform strategic platform and investment decisions. Acting as a bridge between strategy and engineering, the role ensures AI solutions are architecturally sound, interoperable, secure, and scalable in complex, regulated, and mission-driven environments.

Background & Environment

• 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

Key Responsibilities

AI Architecture & Platform Strategy

• 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, Deployment, runtime, and integration patterns
• Assess and rationalize existing applications, data assets, and platforms to identify AI enablement opportunities and technical debt

AI Orchestration, Agents & Integration

• 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

PoCs, Assessments & Decision Support

• 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

Governance & Architectural Assurance

• 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

Collaboration & Enablement

• 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

Required Technical Skills & Expertise

AI Orchestration & Agent Architectures

• 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

AI & Machine Learning Systems

• 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

Data & Integration Architecture

• 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

Cloud & Platform Architecture

• 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

DevOps, MLOps & Evaluation

• 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.

Preferred Certifications & Training

• 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

Why NTT Data?

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

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.