AI Service-as-Software Solutions Architect

NTT DATA Services • Plano, TX

19d • $105,597 - $244,438 • Remote

About The Position

NTT DATA is seeking an AI Service-as-Software Solutions Architect to lead the design and pursuit of AI-native, outcome-led solutions. The role combines executive client engagement, business-process transformation, enterprise AI architecture, commercial leadership, delivery mobilization, portfolio management, and team development. The successful candidate turns ambiguous client priorities into measurable transformation opportunities, compelling solution propositions, funded programs, and executable delivery plans.

The architect owns end-to-end solution blueprints spanning business processes, domain logic, AI agents, human oversight, data and knowledge, integrations, security, governance, operating models, and value measurement. They guide platform-led, composable architecture decisions; shape outcome-based commercials and pursuit materials; and remain accountable as opportunities transition into delivery. They also lead multidisciplinary teams and help scale reusable industry capabilities and offerings.

The role is listed in Plano, Texas. The compensation section describes it as a remote role and gives a US target starting pay range of $105,597–$244,438, with actual compensation dependent on location, experience, skills, and other qualifications. The position may also be eligible for incentive compensation. Company benefits depend on the nature of the role offered and may include medical, dental, and vision insurance, flexible spending or health savings accounts, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, and a 401(k) program with company match.

Requirements

• 15+ years of experience spanning enterprise solution architecture, technology-enabled transformation, consulting, presales, product or platform solutioning, and large-scale delivery.
• Proven ability to lead complex, multi-stakeholder AI or digital-transformation pursuits and convert uncertain client needs into funded, executable programs.
• Deep understanding of Agentic AI and GenAI patterns, including orchestration, tools and skills, workflow state, knowledge grounding, human approval, evaluation, observability, security, governance, and enterprise integration.
• Strong business-process orientation across two or more domains such as manufacturing, supply chain, procurement, engineering, customer operations, finance, or enterprise services.
• Experience designing solutions across cloud, data, application, integration, security, and operating-model layers while maintaining focus on business outcomes and user journeys.
• Demonstrated strength in business cases, value pools, KPI frameworks, commercial constructs, solution estimation, SOW development, executive storytelling, and contract-risk discussions.
• Executive presence and ability to influence C-suite clients, senior internal leaders, product teams, architects, domain experts, sales teams, and delivery organizations.
• Experience leading and developing multidisciplinary teams in a matrixed, global environment.

Nice To Haves

• Experience building or scaling AI-native offerings, Service-as-Software, managed AI services, industry platforms, or outcome-based solutions.
• Hands-on familiarity with enterprise AI platforms and major hyperscalers, plus integration with SAP, Oracle, Salesforce, ServiceNow, Microsoft, data platforms, and industry applications.
• Experience establishing reusable reference architectures, solution playbooks, demo portfolios, governance mechanisms, and product-to-delivery operating models.
• Background in manufacturing and products industries, with exposure to complex global accounts and cross-functional transformation programs.
• Relevant cloud, architecture, AI, product, program, or change-leadership certifications.

Responsibilities

• Engage C-suite and functional executives to identify high-friction workflows, value leakage, decision bottlenecks, and opportunities for AI-native transformation.
• Lead executive briefings, discovery sessions, design workshops, and value workshops that shift discussions from isolated AI use cases to end-to-end business transformation.
• Translate business priorities into problem statements, future-state workflows, stakeholder models, measurable outcomes, roadmaps, and solution hypotheses.
• Create business-first narratives, demonstrations, points of view, proposals, and executive presentations explaining how governed AI agents perform work.
• Own end-to-end solution blueprints across business processes, domain logic, agents, human-in-the-loop controls, data and knowledge, integrations, security, observability, governance, operating models, and value measurement.
• Determine which solution components should be client-specific, reusable at the industry-solution layer, or provided by the enterprise AI platform.
• Convert workflows into capability architectures, agent interaction models, functional and non-functional requirements, deployment prerequisites, evaluation criteria, and delivery-ready backlogs.
• Guide architecture choices across cloud providers, enterprise applications, data platforms, APIs, event flows, identity, model services, and customer environments.
• Ensure solutions provide 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, aligning account, industry, domain, product, platform, AI delivery, security, legal, finance, and managed-services perspectives.
• Shape outcome-based commercial terms, platform and services constructs, implementation phases, managed-services models, assumptions, dependencies, acceptance criteria, and KPI-linked value cases.
• Direct development and quality review of SOWs, pricing inputs, solution estimates, delivery responsibilities, intellectual-property and reuse positions, security commitments, and customer-facing architecture materials.
• Identify pursuit risks, drive cross-organizational decisions, resolve ownership gaps, and maintain credibility regarding scope, timeline, economics, and customer commitments.
• Ensure the transition from pursuit to delivery converts the sold vision into executable requirements, architecture, work packages, governance, and a realistic mobilization plan.
• Establish delivery pods, roles, decision rights, RAID discipline, architecture governance, product dependencies, client inputs, and escalation paths.
• Validate that agent workflows and recommendations reflect business-process realities, human accountability, risk controls, user adoption, and the agreed value case.
• Define KPI baselines and outcome measures, support executive checkpoints, and capture delivery lessons in reusable assets and future offerings.
• Lead, coach, and deploy solution architects, domain SMEs, industry leads, and pursuit contributors; establish ownership, quality standards, development plans, and decision cadence.
• Manage the portfolio and forward pipeline, balancing customer deadlines with investment in scalable industry capabilities, accelerators, and reference architectures.
• Represent the practice in leadership reviews, customer forums, internal enablement, town halls, and strategic planning, communicating progress, risks, priorities, investment needs, and decisions.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Flexible spending or health savings account
• Life and AD&D insurance
• Short- and long-term disability coverage
• Paid time off
• Employee assistance
• 401(k) program with company match
• Additional voluntary or legally required benefits
• Possible incentive compensation based on individual and/or company performance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed