Senior AI Solutions Architect

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

Benefits

Additional Information

AI Office Lead - 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

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