Principal AI & Salesforce Architect - Remote in US

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. We are currently seeking a Principal AI & Salesforce Architect - Remote in US to join our team in Remote, Texas (US-TX), United States (US). Principal AI & Salesforce Architect Forward Deployed Engineering · Senior, client-facing · Full time · Regular travel to client sites Agents are becoming the users of enterprise software. Salesforce is responding by moving its value beneath the screen: capabilities any agent can invoke, business logic packaged as Skills, trusted context in Data 360, orchestration across vendors in Agent Fabric, and a choice of models from Salesforce's own CRM reasoning model to the frontier labs. Most enterprises can see the shift. Very few have someone who can explain where AI is going, decide what it means for their business and their Salesforce estate, and then make it work in production. This is a strategic, AI-forward role that stays with the client while uncertainty and risk are highest, remains through production, and hands ownership to the delivery team once the solution is proven and stable. Ours is a strategic seat in a global Salesforce practice. You work across industries and our most strategic clients, not inside a single deployment. You lead the conversation about where models, agents and Salesforce are heading, not only what ships this quarter. What you learn in the field becomes how the whole practice sells and delivers. Be the AI voice in the room. Brief client executives on where frontier and open-weight models, agents and Salesforce are heading, and translate that direction into business and technology roadmaps. Frame the problem, challenge whether an agent is the right answer, set the architecture and pressure-test scope, estimates, operating assumptions and risk. Choose the right intelligence for each step. Decide where a frontier model, an open-weight model, a CRM reasoning model, deterministic logic or a person belongs. Architect orchestration, tool use, retrieval and grounding, memory, evaluation and guardrails across Agentforce, Data 360 and external model platforms, and define how agents are tested, monitored and improved once they are live. Define agent identity, delegated authority, tool access, action boundaries, approval checkpoints, auditability and revocation so agents act with least privilege, mapped onto the Salesforce security model and the client’s enterprise identity. Translate business, functional and non-functional requirements into Salesforce designs, data models and integration patterns spanning Agentforce, Data 360, MuleSoft, Databricks and the wider enterprise estate, protecting platform integrity and maintainability. Prototype with AI-assisted tools and our engineers; Lead delivery while the risk is highest. Set direction with architects, unblock the hardest problems and lead escalations across Salesforce, MuleSoft, Data 360, models and enterprise systems, alongside delivery teams and Salesforce engineering. Remain engaged through production validation and stabilization, using real operating behavior to test the architecture and help restore stability when the hardest issues surface. Once the solution is proven and stable, transition architecture decisions and the reasoning behind them, known risks, runbooks and ownership to the delivery or managed-service technical lead and take on the next frontier problem. Publish, speak and turn field patterns into the reference architectures, decision frameworks and approaches the whole practice uses. Mentor architects and engineers on AI and agentic design so the practice’s depth grows with every engagement. Not a coding seat, and not a hands-off architect. You lead while risk is highest and then hand off. Engagement managers run delivery and sales owns the commercial outcome; Not a permanent fixture on one account. Real AI depth. Tool use, planning, multi-agent orchestration, retrieval and grounding, memory, evaluation, guardrails and human oversight – including where each pattern fails in production. A point of view on where AI is going. And how it reshapes Salesforce: headless capabilities, Skills, trusted context, Agent Fabric, agent identity and delegated authority, and pricing that moves from seats to actions. Practical judgment in agent identity, delegated authority, least-privilege tool access, policy enforcement, human approval, auditability and revocation. Deep Salesforce expertise. Strong command of Salesforce architecture, security model, limits and data modeling. Real depth in at least one of Agentforce, Data 360 or MuleSoft, fluency across the rest, and the enterprise breadth to connect Salesforce to SAP, ServiceNow, Databricks and the wider data and application estate through resilient API, event and batch patterns. Able to prototype, trace failures, inspect Apex, Lightning Web Components, Flow, APIs and integration code, read logs and work directly with engineers; you do not need to be a full-time production software engineer. Named enterprise AI or platform programs you took live, with specific accounts of what broke, how you diagnosed it, the trade-offs you made and how stability was restored. A double register. You use modern AI-assisted tools every day and turn field experience into reusable guidance. 10+ years delivering enterprise technology, platform or architecture programs, including substantial Salesforce experience and named deployments taken through production.

• Demonstrated enterprise AI, agentic or complex Salesforce platform delivery, with direct involvement in architecture decisions, high-risk problem solving and production stabilization.
• Evidence of operating at both executive and deep technical levels, leading through ambiguity and transitioning proven solutions to sustained delivery teams.

Salesforce CTA, Application Architect, System Architect, Platform Developer, Agentforce, Data 360 or MuleSoft credentials are valued, but are not substitutes for production delivery and AI judgment. Published articles, conference presentations, reference architectures or other visible thought leadership in enterprise AI, agents or Salesforce. A Salesforce CTA or principal architect who has taken Agentforce or large platform programs live and follows the AI frontier closely. A Forward Deployed Engineer, applied AI engineer or senior solution engineer at Salesforce, an AI lab or a major ISV, ready for a wider canvas. A field CTO or principal at a systems integrator or AI-native consultancy who has put enterprise AI into production. An enterprise AI leader who has run agentic programs inside a large organization and now wants to shape many. NTT DATA provides a reasonable range of compensation for U.The starting pay range for this remote role is $128,858.00 - $238,625.00. This range reflects the minimum and maximum target compensation for the position across all US locations. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here .