AI Service-as-Software Solutions Architect

Select how often (in days) to receive an alert:
Create Alert

Date: Oct 21, 2026

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization.

We are currently seeking a AI Service-as-Software Solutions Architect to join our team in Plano, Texas (US-TX), United States (US).

• Engage C-suite and functional executives to identify high-friction workflows, value leakage, decision bottlenecks, and outcome pools that justify an AI-native transformation.
• Lead executive briefings, discovery sessions, design workshops, and value workshops that move the conversation from isolated AI use cases to reimagined end-to-end business work.
• Translate ambiguous business priorities into a clear problem statement, future-state workflow, stakeholder model, measurable outcomes, roadmap, and investable solution hypothesis.
• Create persuasive, business-first narratives, demos, POVs, proposals, and executive presentations that show how governed AI agents perform work rather than simply showcase platform features.

• Own the end-to-end solution blueprint across business process, domain logic, agents, human-in-the-loop controls, data and knowledge, integrations, security, observability, governance, operating model, and value measurement.
• Determine what should be client-specific, reusable at the industry-solution layer, or provided by the underlying enterprise AI platform; prevent unnecessary custom builds and platform forks.
• Convert representative workflows into capability architectures, agent interaction models, functional and non-functional requirements, deployment prerequisites, evaluation criteria, and delivery-ready backlogs.
• Guide architecture choices across hyperscalers, enterprise applications, data platforms, APIs, event flows, identity, model services, and customer environments while maintaining a composable, platform-led design.
• Ensure solutions include trustworthy-AI controls, auditability, policy enforcement, role-based access, data protection, resilience, release management, and measurable value attribution.
• Lead strategic AI pursuits from qualification through closure, integrating account, industry, domain, product, platform, AI delivery, security, legal, finance, and managed-services perspectives into one coherent offer.
• Shape outcome-based commercials, platform and services constructs, implementation phases, managed-services models, assumptions, dependencies, acceptance criteria, and KPI-linked value cases.
• Direct the development and quality review of SOWs, pricing inputs, solution estimates, delivery responsibilities, IP and reuse positions, security commitments, and customer-facing architecture materials.
• Identify pursuit risks early, drive decisions across organizational boundaries, resolve ownership gaps, and maintain credibility on scope, timeline, economics, and customer commitments.
• Remain accountable through the transition from pursuit to delivery, ensuring the sold vision is converted into executable requirements, architecture, work packages, governance, and a realistic mobilization plan.
• Establish the delivery pod, roles, decision rights, RAID discipline, architecture governance, product dependencies, client inputs, and escalation paths required for successful execution.
• Validate that agent workflows and recommendations remain aligned with business process realities, human accountability, risk controls, user adoption, and the agreed value case.
• Define KPI baselines and outcome measures, support executive…