Salesforce CPQ Architect

NTT DATA North America; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

NTT DATA seeks a Salesforce CPQ Architect to lead end-to-end architecture for CPQ, Revenue Cloud, and Agentforce in Bangalore, India. You will design agentic workflows, integration patterns with APIs and MuleSoft, and set guardrails for AI usage and security across revenue cycles.

You will mentor architects and engineers while ensuring observability, resiliency, and scalable solutions for global delivery teams.

Qualifications

• Bachelor’s degree in a relevant field; advanced Salesforce CPQ/Revenue Cloud architecture experience preferred.
• 10+ years in enterprise architecture with CPQ/Revenue Cloud focus.
• Proven ability to lead architecture reviews and govern complex integrations.

Responsibilities

• Own end-to-end solution architecture across Salesforce CPQ, Revenue Cloud and Agentforce.
• Architect agent-assisted and cross-functional workflows across opportunity to revenue lifecycle.
• Design agent orchestration patterns and memory/state management.
• Define integration patterns with Salesforce automation, MuleSoft and external services.
• Establish AI, observability, compliance and security guardrails.
• Lead governance across global delivery teams and mentor engineers.

Skills

Salesforce CPQ

Revenue Cloud

Agent orchestration

LLM integration

Security architecture

Observability

Async processing

Education

Salesforce Architect credentials

Bachelor's degree in CS/Engineering

Tools

Apex

Flow

APIs

MuleSoft

Lightning Platform

Job description

Job Description:

Req ID: 387938

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 Salesforce CPQ Architect to join our team in Bangalore, Karnataka (IN-KA), India (IN).

Key Responsibilities

• Own end-to-end solution architecture across Agentforce, Salesforce CPQ and Revenue Cloud Advanced.
• Architect agent-assisted and agentic workflows across opportunity, configuration, pricing, quoting, contracting, ordering and revenue lifecycle processes.
• Design agent orchestration patterns, including tool/function calling, workflow delegation, multi-agent patterns, state management and memory.
• Architect integration of Agentforce with Salesforce automation, Apex, Flow, APIs, MuleSoft and external enterprise services.
• Define appropriate use of LLMs, deterministic logic, workflow engines and traditional automation, rather than defaulting all use cases to generative AI.
• Design context engineering and retrieval strategies, including structured/unstructured grounding, retrieval depth, metadata filtering and relevance optimization.
• Establish secure agent action patterns using least-privilege access, guardrails, validation, approval checkpoints and human-in-the-loop mechanisms.
• Define AI evaluation frameworks covering answer quality, grounding, hallucination, task completion, tool selection, latency and business outcomes.
• Establish observability across agent reasoning paths, actions, integration failures, token/credit consumption and operational performance.
• Assess model and platform trade-offs across quality, latency, context window, cost, privacy and enterprise constraints.
• Architect resilient action layers and transactional integration patterns for revenue processes where consistency and recoverability are critical.
• Advise programs on consumption-based economics, AI credit/token optimization and architectural approaches to control run-time cost.
• Lead architecture reviews, design authorities and technical governance across global delivery teams.
• Mentor technical architects, developers and Agentforce specialists.

Required Technical Expertise

• Salesforce Agentforce and associated agentic architecture concepts.
• Salesforce CPQ and Revenue Cloud Advanced / Revenue Lifecycle Management.
• Salesforce Sales Cloud and core platform architecture.
• Agent orchestration and tool/function calling.
• Multi-agent architectures, delegation and coordination patterns.
• Agent state, short/long-term memory and session/context management.
• MCP and agent-to-agent interoperability concepts/patterns.
• RAG, semantic/vector search, embeddings, chunking and retrieval optimization.
• Context engineering beyond basic prompt engineering.
• Evaluation frameworks and AI observability.
• AI safety, grounding, guardrails and least-privilege action design.
• LLM model selection and architectural trade-offs.
• Classic NLP concepts including intent classification, entity extraction, semantic similarity and ranking.
• Apex, Lightning Platform, Flow, APIs and enterprise integration patterns.
• Strong understanding of asynchronous processing, transaction boundaries, resiliency, retries and idempotency.
• Security architecture including sharing, CRUD/FLS, permission models and data protection.

Preferred Qualifications

• 15+ years overall technology experience; 10+ years in Salesforce CPQ / Revenue Cloud architecture.
• Proven experience architecting enterprise CPQ / Quote-to-Cash implementations.
• Salesforce Application/System/Technical Architect credentials strongly preferred.
• Agentforce and Revenue Cloud-related certifications or demonstrable implementation experience.
• Experience with MuleSoft and large enterprise integration landscapes preferred.
• Ability to communicate architectural decisions to both engineering teams and senior business stakeholders.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the worlds 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. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.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. This ensures we can provide timely and effective support tailored to each client’s needs. 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 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 If youd like more information on your EEO rights under the law, please click For Pay Transparency information, please click